Added suggested SLM down sampling factor, improved quite a lot of documentation. Measurement object can now work with old, as well as new measurement files.
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@ -11,7 +11,7 @@ __version__ = lasp_cpp.__version__
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# from .lasp_imptube import * # TwoMicImpedanceTube
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from .lasp_measurement import * # Measurement, scaleBlockSens
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from .lasp_octavefilter import *
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# from .lasp_slm import * # SLM, Dummy
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from .lasp_slm import * # SLM, Dummy
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from .lasp_record import * # RecordStatus, Recording
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from .lasp_daqconfigs import *
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# from .lasp_siggen import * # SignalType, NoiseType, SiggenMessage, SiggenData, Siggen
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@ -200,6 +200,19 @@ public:
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* output.
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*/
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double digitalHighPassCutOn = -1;
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/**
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* @brief Compare two channels to eachother. They are equal when the name,
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* sensitivity and quantity are the same.
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*
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* @param other The DaqChannel to compare with
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*
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* @return true if equal
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*/
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bool operator==(const DaqChannel& other) const {
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return other.name == name && other.sensitivity == sensitivity &&
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other.qty == qty;
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}
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};
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/**
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@ -7,6 +7,10 @@
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#include <optional>
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/** \defgroup dsp Digital Signal Processing utilities
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* These are classes and functions used for processing raw signal data, to
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* obtain statistics.
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*
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*
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* @{
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*/
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@ -2,7 +2,7 @@
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#include "lasp_filter.h"
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/**
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* \ingroup dsp
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* \addtogroup dsp
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* @{
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*/
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@ -53,7 +53,8 @@ public:
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/**
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* @brief Initialize biquadbank.
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*
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* @param filters Filters for each filter in the bank
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* @param filters Filters for each filter in the bank. First axis isis the
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* coefficient index, second axis is the filter index.
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* @param gains Gain values. Given as pointer, if not given (nulltpr), gains
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* are initialized with unity gain.
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*/
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@ -9,7 +9,7 @@
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using std::cerr;
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using std::endl;
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using std::runtime_error;
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using rte = std::runtime_error;
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using std::unique_ptr;
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SLM::SLM(const d fs, const d Lref, const us downsampling_fac, const d tau,
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@ -40,13 +40,13 @@ SLM::SLM(const d fs, const d Lref, const us downsampling_fac, const d tau,
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getPool();
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if (Lref <= 0) {
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throw runtime_error("Invalid reference level");
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throw rte("Invalid reference level");
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}
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if (tau <= 0) {
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throw runtime_error("Invalid time constant for Single pole lowpass filter");
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throw rte("Invalid time constant for Single pole lowpass filter");
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}
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if (fs <= 0) {
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throw runtime_error("Invalid sampling frequency");
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throw rte("Invalid sampling frequency");
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}
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}
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SLM::~SLM() {}
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@ -66,6 +66,21 @@ std::vector<unique_ptr<Filter>> createBandPass(const dmat &coefs) {
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}
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return bf;
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}
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us SLM::suggestedDownSamplingFac(const d fs,const d tau) {
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if(tau<0) throw rte("Invalid time weightin time constant");
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if(fs<=0) throw rte("Invalid sampling frequency");
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// A reasonable 'framerate' for the sound level meter, based on the
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// filtering time constant.
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if (tau > 0) {
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d fs_slm = 10 / tau;
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if(fs_slm < 30) {
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fs_slm = 30;
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}
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return std::max((us) 1, static_cast<us>(fs / fs_slm));
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} else {
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return 1;
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}
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}
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SLM SLM::fromBiquads(const d fs, const d Lref, const us downsampling_fac,
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const d tau, const vd &pre_filter_coefs,
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@ -98,7 +98,8 @@ public:
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* @param downsampling_fac Every 1/downsampling_fac value is returned from
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* compute()
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* @param tau Time consant of level meter
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* @param bandpass_coefs Biquad filter coeffiecients for bandpass filter
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* @param bandpass_coefs Biquad filter coefficients for bandpass filter. First axis isis the coefficient index, second axis is the filter index.
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*
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* @return Sound Level Meter object
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*/
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@ -149,6 +150,20 @@ public:
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*/
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vd Lmax() const { return 10 * arma::log10(Pmax / Lrefsq); };
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/**
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* @brief Comput a 'suggested' downsampling factor, i.e. a lower frame rate
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* at which sound level meter values are returned from the computation. This
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* is possible since the signal power is low-pas filtered with a single pole
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* low pass filter. It can remove computational burden, especially for
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* plotting, to have a value > 10.
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*
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* @param fs Sampling frequency of signal [Hz]
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* @param tw Time weighting of SLM low pass filter
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*
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* @return Suggested downsampling factor, no unit. [-]
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*/
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static us suggestedDownSamplingFac(const d fs,const d tw);
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private:
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vd run_single(vd input, const us filter_no);
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};
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@ -460,7 +460,15 @@ class OctaveBankDesigner(FilterBankDesigner):
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class ThirdOctaveBankDesigner(FilterBankDesigner):
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def __init__(self, fs):
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def __init__(self, fs: float):
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"""
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Initialize ThirdOctaveBankDesigner, a filter bank designer for
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one-third octave bands
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Args:
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fs: Sampling frequency in [Hz]
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"""
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super().__init__(fs)
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self.xs = list(range(-16, 14))
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# Text corresponding to the nominal frequency
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@ -84,7 +84,6 @@ class Qty:
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@unique
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class SIQtys(Enum):
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N = Qty(name='Number',
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@ -113,26 +112,20 @@ class SIQtys(Enum):
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cpp_enum = DaqChannel.Qty.Voltage
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)
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@staticmethod
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def fillComboBox(cb):
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"""
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Fill to a combobox
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Args:
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cb: QComboBox to fill
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"""
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cb.clear()
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for ty in SIQtys:
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cb.addItem(f'{ty.value.unit_name}')
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cb.setCurrentIndex(0)
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@staticmethod
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def default():
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return SIQtys.N.value
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@staticmethod
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def getCurrent(cb):
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return list(SIQtys)[cb.currentIndex()]
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def fromCppEnum(enum):
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"""
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Convert enumeration index from - say - a measurement file back into
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physical quantity information.
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"""
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for qty in SIQtys:
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if qty.value.cpp_enum.value == enum:
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return qty.value
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raise RuntimeError(f'Qty corresponding to enum {enum} not found')
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@dataclass
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@ -16,9 +16,13 @@ is assumed to be acoustic data.
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'sensitivity': (Optionally) the stored sensitivity of the record channels.
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This can be a single value, or a list of sensitivities for
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each channel. Both representations are allowed.
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For measurement files of LASP < v1.0
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'qtys' : (Optionally): list of quantities that is recorded for each channel',
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if this array is not found. Quantities are defaulted to 'Number / Full scale'
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For measurement files of LASP >= 1.0
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- Datasets:
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'audio': 3-dimensional array of blocks of audio data. The first axis is the
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@ -46,7 +50,7 @@ from .lasp_config import LASP_NUMPY_FLOAT_TYPE
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from scipy.io import wavfile
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import os, time, wave, logging
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from .lasp_common import SIQtys, Qty, getFreq
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from .lasp_cpp import Window, DaqChannel
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from .lasp_cpp import Window, DaqChannel, LASP_VERSION_MAJOR
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def getSampWidth(dtype):
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@ -208,6 +212,13 @@ class Measurement:
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self.N = (self.nblocks * self.blocksize)
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self.T = self.N / self.samplerate
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try:
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self.version_major = f.attrs['LASP_VERSION_MAJOR']
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self.version_minor = f.attrs['LASP_VERSION_MINOR']
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except KeyError:
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self.version_major = 0
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self.version_minor = 1
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# Due to a previous bug, the channel names were not stored
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# consistently, i.e. as 'channel_names' and later camelcase.
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try:
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@ -239,6 +250,7 @@ class Measurement:
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self._time = f.attrs['time']
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self._qtys = None
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try:
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qtys_json = f.attrs['qtys']
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# Load quantity data
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@ -246,9 +258,20 @@ class Measurement:
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except KeyError:
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# If quantity data is not available, this is an 'old'
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# measurement file.
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logging.debug(f'Physical quantity data not available in measurement file. Assuming {SIQtys.default}')
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self._qtys = [SIQtys.default() for i in range(self.nchannels)]
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pass
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try:
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qtys_enum_idx = f.attrs['qtys_enum_idx']
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self._qtys = [SIQtys.fromCppEnum(idx) for idx in qtys_enum_idx]
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except KeyError:
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pass
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if self._qtys is None:
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self._qtys = [SIQtys.default() for i in range(self.nchannels)]
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logging.debug(f'Physical quantity data not available in measurement file. Assuming {SIQtys.default}')
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logging.debug(f'Physical quantity data not available in measurement file. Assuming {SIQtys.default}')
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def setAttribute(self, atrname, value):
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"""
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Set an attribute in the measurement file, and keep a local copy in
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@ -276,14 +299,15 @@ class Measurement:
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@property
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def channelConfig(self):
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chcfg = [DaqChannel(channel_enabled=True,
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channel_name=chname,
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sensitivity=sens,)
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for chname, sens in zip(
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self.channelNames,
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self.sensitivity)]
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for i, qty in enumerate(self.qtys):
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chcfg[i].qty = qty
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chcfg = []
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for chname, sens, qty in zip(self.channelNames, self.sensitivity,
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self.qtys):
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ch = DaqChannel()
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ch.enabled = True
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ch.name = chname
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ch.sensitivity = sens
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ch.qty = qty.cpp_enum
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chcfg.append(ch)
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return chcfg
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@channelConfig.setter
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@ -292,9 +316,9 @@ class Measurement:
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sens = []
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qtys = []
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for ch in chcfg:
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chname.append(ch.channel_name)
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chname.append(ch.name)
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sens.append(ch.sensitivity)
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qtys.append(ch.qty)
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qtys.append(SIQtys.fromCppEnum(ch.qty))
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self.channelNames = chname
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self.sensitivity = sens
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@ -9,7 +9,8 @@ import os
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import time
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import h5py
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import numpy as np
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from .lasp_cpp import InDataHandler, StreamMgr
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from .lasp_cpp import (InDataHandler, StreamMgr, LASP_VERSION_MAJOR,
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LASP_VERSION_MINOR)
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from .lasp_atomic import Atomic
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@ -119,12 +120,16 @@ class Recording:
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f = self.f
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f.attrs['LASP_VERSION_MAJOR'] = LASP_VERSION_MAJOR
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f.attrs['LASP_VERSION_MINOR'] = LASP_VERSION_MINOR
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# Set the bunch of attributes
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f.attrs['samplerate'] = daq.samplerate()
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f.attrs['nchannels'] = daq.neninchannels()
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f.attrs['blocksize'] = blocksize
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f.attrs['sensitivity'] = [ch.sensitivity for ch in in_ch]
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f.attrs['channelNames'] = [ch.name for ch in in_ch]
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# f.attrs['
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# Add the start delay here, as firstFrames() is called right after the
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# constructor is called.
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@ -4,7 +4,7 @@
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Sound level meter implementation
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@author: J.A. de Jong - ASCEE
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"""
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from .lasp_cpp import SLM as cppSLM
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from .lasp_cpp import cppSLM
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import numpy as np
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from .lasp_common import (TimeWeighting, FreqWeighting, P_REF)
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from .filter import SPLFilterDesigner
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@ -33,8 +33,8 @@ class SLM:
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def __init__(self,
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fs,
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fbdesigner=None,
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tw=TimeWeighting.fast,
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fw=FreqWeighting.A,
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tw: TimeWeighting =TimeWeighting.fast,
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fw: FreqWeighting =FreqWeighting.A,
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xmin = None,
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xmax = None,
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include_overall=True,
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@ -50,7 +50,7 @@ class SLM:
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fs: Sampling frequency [Hz]
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tw: Time Weighting to apply
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fw: Frequency weighting to apply
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xmin: Filter designator of lowest band
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xmin: Filter designator of lowest band.
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xmax: Filter designator of highest band
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include_overall: If true, a non-functioning filter is added which
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is used to compute the overall level.
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@ -96,36 +96,42 @@ class SLM:
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assert fbdesigner.fs == fs
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sos_firstx = fbdesigner.createSOSFilter(self.xs[0]).flatten()
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self.nom_txt.append(fbdesigner.nominal_txt(self.xs[0]))
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sos = np.empty((nfilters, sos_firstx.size), dtype=float, order='C')
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sos[0, :] = sos_firstx
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sos = np.empty((sos_firstx.size, nfilters), dtype=float, order='C')
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sos[:, 0] = sos_firstx
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for i, x in enumerate(self.xs[1:]):
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sos[i+1, :] = fbdesigner.createSOSFilter(x).flatten()
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sos[:, i+1] = fbdesigner.createSOSFilter(x).flatten()
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self.nom_txt.append(fbdesigner.nominal_txt(x))
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if include_overall:
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# Create a unit impulse response filter, every third index equals
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# 1, so b0 = 1 and a0 is 1 (by definition)
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# a0 = 1, b0 = 1, rest is zero
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sos[-1,:] = sos_overall
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sos[:,-1] = sos_overall
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self.nom_txt.append('overall')
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else:
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# No filterbank, means we do only compute the overall values. This
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# means that in case of include_overall, it creates two overall
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# channels. That would be confusing, so we do not allow it.
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sos = sos_overall[np.newaxis,:]
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sos = sos_overall[:,np.newaxis]
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self.nom_txt.append('overall')
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self.slm = cppSLM(fs, prefilter, sos,
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fs, tw[0], level_ref_value)
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# Downsampling factor, determine from single pole low pass filter time
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# constant, such that aliasing is ~ allowed at 20 dB lower value
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# and
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dsfac = cppSLM.suggestedDownSamplingFac(fs, tw[0])
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dsfac = self.slm.downsampling_fac
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if dsfac > 0:
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# Not unfiltered data
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self.fs_slm = fs / self.slm.downsampling_fac
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if prefilter is not None:
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self.slm = cppSLM.fromBiquads(fs, level_ref_value, dsfac,
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tw[0],
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prefilter, sos)
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else:
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self.fs_slm = fs
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self.slm = cppSLM.fromBiquads(fs, level_ref_value, dsfac,
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tw[0],
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sos)
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self.fs_slm = fs / dsfac
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# Initialize counter to 0
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self.N = 0
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@ -189,7 +195,6 @@ class SLM:
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output['mid'] = self.fbdesigner.fm(list(self.xs))
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logging.debug(list(self.xs))
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logging.debug(output['mid'])
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# Indiced at 0, as pyxSLM always returns 2D arrays.
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if self.include_overall and self.fbdesigner is not None:
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output['overall'] = dat[-1,0]
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@ -69,6 +69,8 @@ void init_daqconfiguration(py::module &m) {
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.value("UserDefined", DaqChannel::Qty::UserDefined);
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daqchannel.def_readwrite("qty", &DaqChannel::qty);
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daqchannel.def("__eq__", [](const DaqChannel& a, const DaqChannel& b) { return a==b;});
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/// DaqConfiguration
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daqconfig.def(py::init<>());
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daqconfig.def(py::init<const DeviceInfo &>());
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@ -69,15 +69,16 @@ void init_dsp(py::module &m) {
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/// AvPowerSpectra
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py::class_<AvPowerSpectra> aps(m, "AvPowerSpectra");
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aps.def(py::init<const us, const Window::WindowType, const d, const int>(),
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py::arg("nfft"), py::arg("WindowType"), py::arg("overlap_percentage"),
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py::arg("time_constant"));
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py::arg("nfft") = 2048, py::arg("windowType") =Window::WindowType::Hann, py::arg("overlap_percentage") = 50.0,
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py::arg("time_constant") = -1);
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aps.def("compute", [](AvPowerSpectra &aps, const dmat &timedata) {
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std::optional<arma::cx_cube> res = aps.compute(timedata);
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return res.value_or(arma::cx_cube(0,0,0));
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}
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);
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py::class_<SLM> slm(m, "SLM");
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py::class_<SLM> slm(m, "cppSLM");
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slm.def_static(
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"fromBiquads",
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@ -94,5 +95,6 @@ void init_dsp(py::module &m) {
|
||||
slm.def("Lpeak", &SLM::Lpeak);
|
||||
slm.def("Leq", &SLM::Leq);
|
||||
slm.def("Lmax", &SLM::Lmax);
|
||||
slm.def_static("suggestedDownSamplingFac", &SLM::suggestedDownSamplingFac);
|
||||
}
|
||||
/** @} */
|
||||
|
||||
@ -2,6 +2,7 @@
|
||||
#include <pybind11/numpy.h>
|
||||
#include <pybind11/pybind11.h>
|
||||
#include <pybind11/stl.h>
|
||||
#include <functional>
|
||||
#include <stdint.h>
|
||||
|
||||
using std::cerr;
|
||||
@ -31,4 +32,11 @@ void init_streammgr(py::module &m) {
|
||||
smgr.def("isStreamRunningOK", &StreamMgr::isStreamRunningOK);
|
||||
smgr.def("isStreamRunning", &StreamMgr::isStreamRunning);
|
||||
smgr.def("getDaq", &StreamMgr::getDaq, py::return_value_policy::reference);
|
||||
smgr.def("rescanDAQDevices", [](StreamMgr& smgr, bool background) {
|
||||
// A pure C++ callback is the second argument to rescanDAQDevices, which
|
||||
// cannot be wrapped to Pybind11. Only the one without callback is
|
||||
// forwarded here to Python code.
|
||||
smgr.rescanDAQDevices(background);
|
||||
},
|
||||
py::arg("background")=false);
|
||||
}
|
||||
|
||||
@ -1,6 +1,6 @@
|
||||
#!/usr/bin/python3
|
||||
import numpy as np
|
||||
from lasp import SLM
|
||||
from lasp import cppSLM
|
||||
from lasp.filter import SPLFilterDesigner
|
||||
import matplotlib.pyplot as plt
|
||||
|
||||
@ -11,7 +11,7 @@ def test_cppslm1():
|
||||
fs = 48000
|
||||
omg = 2*np.pi*1000
|
||||
|
||||
slm = SLM.fromBiquads(fs, 2e-5, 1, 0.125, [1.,0,0,1,0,0])
|
||||
slm = cppSLM.fromBiquads(fs, 2e-5, 1, 0.125, [1.,0,0,1,0,0])
|
||||
|
||||
t = np.linspace(0, 10, 10*fs, endpoint=False)
|
||||
|
||||
@ -40,7 +40,7 @@ def test_cppslm2():
|
||||
omg = 2*np.pi*1000
|
||||
|
||||
filt = SPLFilterDesigner(fs).A_Sos_design()
|
||||
slm = SLM.fromBiquads(fs, 2e-5, 0, 0.125, filt.flatten(), [1.,0,0,1,0,0])
|
||||
slm = cppSLM.fromBiquads(fs, 2e-5, 0, 0.125, filt.flatten(), [1.,0,0,1,0,0])
|
||||
|
||||
t = np.linspace(0, 10, 10*fs, endpoint=False)
|
||||
|
||||
@ -60,16 +60,33 @@ def test_cppslm2():
|
||||
# (Fast, Slow etc)
|
||||
assert np.isclose(out[-1,0], level, atol=1e-2)
|
||||
|
||||
def test_cppslm3():
|
||||
fs = 48000
|
||||
omg = 2*np.pi*1000
|
||||
|
||||
filt = SPLFilterDesigner(fs).A_Sos_design()
|
||||
slm = cppSLM.fromBiquads(fs, 2e-5, 0, 0.125, filt.flatten(), [1.,0,0,1,0,0])
|
||||
t = np.linspace(0, 10, 10*fs, endpoint=False)
|
||||
|
||||
in_ = 10*np.sin(omg*t) * np.sqrt(2)+np.random.randn()
|
||||
# Compute overall RMS
|
||||
rms = np.sqrt(np.sum(in_**2)/in_.size)
|
||||
# Compute overall level
|
||||
level = 20*np.log10(rms/2e-5)
|
||||
|
||||
|
||||
# Output of SLM
|
||||
out = slm.run(in_)
|
||||
|
||||
Lpeak = 20*np.log10(np.max(np.abs(in_)/2e-5))
|
||||
Lpeak
|
||||
slm.Lpeak()
|
||||
assert np.isclose(out[-1,0], slm.Leq()[0][0], atol=1e-2)
|
||||
assert np.isclose(Lpeak, slm.Lpeak()[0][0], atol=1e0)
|
||||
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
test_cppslm1()
|
||||
test_cppslm2()
|
||||
|
||||
# plt.plot(t,out[:,0])
|
||||
# plt.close('all')
|
||||
# from scipy.signal import sosfreqz
|
||||
# omg, H = sosfreqz(filt)
|
||||
# freq = omg / (2*np.pi)*fs
|
||||
# plt.figure()
|
||||
# plt.semilogx(freq[1:],20*np.log10(np.abs(H[1:])))
|
||||
test_cppslm3()
|
||||
|
||||
Loading…
Reference in New Issue
Block a user