All filter stuff with wrappers. Added some convenience functions. Added tests
This commit is contained in:
parent
6ef60fd1e0
commit
3f58b19442
2
.gitignore
vendored
2
.gitignore
vendored
@ -1,2 +1,4 @@
|
|||||||
/target
|
/target
|
||||||
/Cargo.lock
|
/Cargo.lock
|
||||||
|
__pycache__
|
||||||
|
python/lasprs/_lasprs*
|
||||||
|
18
Cargo.toml
18
Cargo.toml
@ -3,7 +3,7 @@ name = "lasprs"
|
|||||||
version = "0.1.0"
|
version = "0.1.0"
|
||||||
edition = "2021"
|
edition = "2021"
|
||||||
authors = ["J.A. de Jong <j.a.dejong@ascee.nl>"]
|
authors = ["J.A. de Jong <j.a.dejong@ascee.nl>"]
|
||||||
description = "Library for Acoustic Signal Processing (Rust edition)"
|
description = "Library for Acoustic Signal Processing (Rust edition, with optional Python bindings via pyo3)"
|
||||||
readme = "README.md"
|
readme = "README.md"
|
||||||
repository = "https://code.ascee.nl/ascee/lasprs"
|
repository = "https://code.ascee.nl/ascee/lasprs"
|
||||||
license = "MIT OR Apache-2.0"
|
license = "MIT OR Apache-2.0"
|
||||||
@ -12,14 +12,26 @@ categories = [
|
|||||||
"multimedia::audio",
|
"multimedia::audio",
|
||||||
"scientific::dsp",
|
"scientific::dsp",
|
||||||
"scientific::engineering"]
|
"scientific::engineering"]
|
||||||
|
[lib]
|
||||||
|
name = "lasprs"
|
||||||
|
crate-type = ["cdylib", "lib"]
|
||||||
|
|
||||||
[dependencies]
|
[dependencies]
|
||||||
anyhow = "1.0.75"
|
anyhow = "1.0.75"
|
||||||
ndarray = "0.15.6"
|
pyo3 = { version = "0.20", features=["anyhow", "extension-module"]}
|
||||||
|
|
||||||
|
# Optional future feature for ndarray: blas
|
||||||
|
ndarray = { version = "0.15.3", features = ["rayon"] }
|
||||||
num = "0.4.1"
|
num = "0.4.1"
|
||||||
rayon = "1.8.0"
|
rayon = "1.8.0"
|
||||||
|
numpy = { version = "0.20" }
|
||||||
|
# blas-src = { version = "0.8", features = ["openblas"] }
|
||||||
|
# openblas-src = { version = "0.10", features = ["cblas", "system"] }
|
||||||
|
|
||||||
[features]
|
[features]
|
||||||
default = ["f64"]
|
# default = ["f64"]
|
||||||
|
# Use this for debugging extension
|
||||||
|
default = ["f64", "extension-module", "pyo3/extension-module"]
|
||||||
f64 = []
|
f64 = []
|
||||||
f32 = []
|
f32 = []
|
||||||
|
extension-module = ["pyo3/extension-module"]
|
||||||
|
19
pyproject.toml
Normal file
19
pyproject.toml
Normal file
@ -0,0 +1,19 @@
|
|||||||
|
[build-system]
|
||||||
|
requires = ["maturin>=1.0,<2.0"]
|
||||||
|
build-backend = "maturin"
|
||||||
|
|
||||||
|
[project]
|
||||||
|
name = "lasprs"
|
||||||
|
requires-python = ">=3.7"
|
||||||
|
classifiers = [
|
||||||
|
"Programming Language :: Rust",
|
||||||
|
"Programming Language :: Python :: Implementation :: CPython",
|
||||||
|
"Programming Language :: Python :: Implementation :: PyPy",
|
||||||
|
]
|
||||||
|
|
||||||
|
dependencies = ["numpy"]
|
||||||
|
|
||||||
|
[tool.maturin]
|
||||||
|
features = ["pyo3/extension-module", "extension-module"]
|
||||||
|
python-source = "python"
|
||||||
|
module-name = "lasprs._lasprs"
|
1
python/lasprs/__init__.py
Normal file
1
python/lasprs/__init__.py
Normal file
@ -0,0 +1 @@
|
|||||||
|
|
4
python/lasprs/filter/__init__.py
Normal file
4
python/lasprs/filter/__init__.py
Normal file
@ -0,0 +1,4 @@
|
|||||||
|
from .._lasprs import filter as _filter
|
||||||
|
Biquad = _filter.Biquad
|
||||||
|
SeriesBiquad = _filter.SeriesBiquad
|
||||||
|
BiquadBank = _filter.BiquadBank
|
@ -12,7 +12,7 @@ pub const pi: Flt = std::f64::consts::PI;
|
|||||||
use num::complex::*;
|
use num::complex::*;
|
||||||
pub type Cflt = Complex<Flt>;
|
pub type Cflt = Complex<Flt>;
|
||||||
|
|
||||||
use ndarray::{Array1, Array2};
|
use numpy::ndarray::{Array1, Array2};
|
||||||
pub type Vd = Vec<Flt>;
|
pub type Vd = Vec<Flt>;
|
||||||
pub type Vc = Vec<Cflt>;
|
pub type Vc = Vec<Cflt>;
|
||||||
|
|
||||||
|
193
src/filter.rs
193
src/filter.rs
@ -1,9 +1,15 @@
|
|||||||
//! # Filter implemententations for biquads, series of biquads and banks of series of biquads.
|
//! # Filter implemententations for biquads, series of biquads and banks of series of biquads.
|
||||||
//!
|
//!
|
||||||
//! Contains `Biquad`, SeriesBiquad, and FilterBank
|
//! Contains [Biquad], [SeriesBiquad], and [BiquadBank]. These are all constructs that work on
|
||||||
|
//! blocks of input data, and apply filters on it. Todo: implement FIR filter.
|
||||||
#![allow(non_snake_case)]
|
#![allow(non_snake_case)]
|
||||||
use super::config::*;
|
use super::config::*;
|
||||||
use anyhow::{bail, Result};
|
use anyhow::{bail, Result};
|
||||||
|
use numpy::ndarray::{ArrayD, ArrayViewD, ArrayViewMutD};
|
||||||
|
use numpy::{IntoPyArray, PyArray1, PyArrayDyn, PyArrayLike1, PyReadonlyArrayDyn};
|
||||||
|
use pyo3::exceptions::PyValueError;
|
||||||
|
use pyo3::prelude::*;
|
||||||
|
use pyo3::{pymodule, types::PyModule, PyResult};
|
||||||
use rayon::prelude::*;
|
use rayon::prelude::*;
|
||||||
|
|
||||||
pub trait Filter: Send {
|
pub trait Filter: Send {
|
||||||
@ -27,6 +33,7 @@ impl Clone for Box<dyn Filter> {
|
|||||||
}
|
}
|
||||||
|
|
||||||
/// # A biquad is a second order recursive filter structure.
|
/// # A biquad is a second order recursive filter structure.
|
||||||
|
#[cfg_attr(feature = "extension-module", pyclass)]
|
||||||
#[derive(Clone, Copy, Debug)]
|
#[derive(Clone, Copy, Debug)]
|
||||||
pub struct Biquad {
|
pub struct Biquad {
|
||||||
// State parameters
|
// State parameters
|
||||||
@ -41,6 +48,37 @@ pub struct Biquad {
|
|||||||
a1: Flt,
|
a1: Flt,
|
||||||
a2: Flt,
|
a2: Flt,
|
||||||
}
|
}
|
||||||
|
#[cfg(feature = "extension-module")]
|
||||||
|
#[cfg_attr(feature = "extension-module", pymethods)]
|
||||||
|
impl Biquad {
|
||||||
|
#[new]
|
||||||
|
/// Create new biquad filter. See [Biquad::new()]
|
||||||
|
///
|
||||||
|
pub fn new_py<'py>(coefs: PyReadonlyArrayDyn<Flt>) -> PyResult<Self> {
|
||||||
|
Ok(Biquad::new(&coefs.as_slice()?)?)
|
||||||
|
}
|
||||||
|
#[pyo3(name = "unit")]
|
||||||
|
#[staticmethod]
|
||||||
|
/// See: [Biquad::unit()]
|
||||||
|
pub fn unit_py() -> Biquad {
|
||||||
|
Biquad::unit()
|
||||||
|
}
|
||||||
|
#[pyo3(name = "firstOrderHighPass")]
|
||||||
|
#[staticmethod]
|
||||||
|
/// See: [Biquad::firstOrderHighPass()]
|
||||||
|
pub fn firstOrderHighPass_py(fs: Flt, cuton_Hz: Flt) -> PyResult<Biquad> {
|
||||||
|
Ok(Biquad::firstOrderHighPass(fs, cuton_Hz)?)
|
||||||
|
}
|
||||||
|
#[pyo3(name = "filter")]
|
||||||
|
/// See: [Biquad::filter()]
|
||||||
|
pub fn filter_py<'py>(
|
||||||
|
&mut self,
|
||||||
|
py: Python<'py>,
|
||||||
|
input: PyArrayLike1<Flt>,
|
||||||
|
) -> PyResult<&'py PyArray1<Flt>> {
|
||||||
|
Ok(self.filter(input.as_slice()?).into_pyarray(py))
|
||||||
|
}
|
||||||
|
}
|
||||||
impl Biquad {
|
impl Biquad {
|
||||||
/// Create new biquad filter from given filter coeficients
|
/// Create new biquad filter from given filter coeficients
|
||||||
///
|
///
|
||||||
@ -60,13 +98,12 @@ impl Biquad {
|
|||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
/// Unit impulse response biquad. Input = output
|
/// Create unit impulse response biquad filter. Input = output
|
||||||
fn unit() -> Biquad {
|
fn unit() -> Biquad {
|
||||||
let filter_coefs = &[1., 0., 0., 1., 0., 0.];
|
let filter_coefs = &[1., 0., 0., 1., 0., 0.];
|
||||||
Biquad::new(filter_coefs).unwrap()
|
Biquad::new(filter_coefs).unwrap()
|
||||||
}
|
}
|
||||||
|
|
||||||
|
|
||||||
/// Initialize biquad as first order high pass filter.
|
/// Initialize biquad as first order high pass filter.
|
||||||
///
|
///
|
||||||
///
|
///
|
||||||
@ -110,34 +147,67 @@ impl Biquad {
|
|||||||
self.w1 = w0;
|
self.w1 = w0;
|
||||||
inout[sample] = yn;
|
inout[sample] = yn;
|
||||||
}
|
}
|
||||||
println!("{:?}", inout);
|
// println!("{:?}", inout);
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
impl Filter for Biquad {
|
impl Filter for Biquad {
|
||||||
fn filter(&mut self, input: &[Flt]) -> Vec<Flt> {
|
fn filter(&mut self, input: &[Flt]) -> Vec<Flt> {
|
||||||
let mut out = input.to_vec();
|
let mut out = input.to_vec();
|
||||||
self.filter_inout(&mut out);
|
self.filter_inout(&mut out);
|
||||||
println!("{:?}", out);
|
// println!("{:?}", out);
|
||||||
out
|
out
|
||||||
}
|
}
|
||||||
fn reset(&mut self) {
|
fn reset(&mut self) {
|
||||||
self.w1 = 0.;
|
self.w1 = 0.;
|
||||||
self.w2 = 0.;
|
self.w2 = 0.;
|
||||||
}
|
}
|
||||||
fn clone_dyn(&self)-> Box<dyn Filter> { Box::new(self.clone()) }
|
fn clone_dyn(&self) -> Box<dyn Filter> {
|
||||||
|
Box::new(self.clone())
|
||||||
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
/// Series of biquads that filter sequentially on an input signal
|
/// Series of biquads that filter sequentially on an input signal
|
||||||
|
///
|
||||||
/// # Examples
|
/// # Examples
|
||||||
///
|
///
|
||||||
/// ```
|
/// See [tests]
|
||||||
/// // Create filter coefficients for a single biquad that does output = input.
|
|
||||||
/// ```
|
/// ```
|
||||||
#[derive(Clone, Debug)]
|
#[derive(Clone, Debug)]
|
||||||
|
#[cfg_attr(feature = "extension-module", pyclass)]
|
||||||
pub struct SeriesBiquad {
|
pub struct SeriesBiquad {
|
||||||
biqs: Vec<Biquad>,
|
biqs: Vec<Biquad>,
|
||||||
}
|
}
|
||||||
|
|
||||||
|
#[cfg(feature = "extension-module")]
|
||||||
|
#[cfg_attr(feature = "extension-module", pymethods)]
|
||||||
|
impl SeriesBiquad {
|
||||||
|
#[new]
|
||||||
|
/// Create new series filter set. See [SeriesBiquad::new()]
|
||||||
|
///
|
||||||
|
pub fn new_py<'py>(coefs: PyReadonlyArrayDyn<Flt>) -> PyResult<Self> {
|
||||||
|
Ok(SeriesBiquad::new(&coefs.as_slice()?)?)
|
||||||
|
}
|
||||||
|
#[pyo3(name = "unit")]
|
||||||
|
#[staticmethod]
|
||||||
|
/// See: [Biquad::unit()]
|
||||||
|
pub fn unit_py() -> SeriesBiquad {
|
||||||
|
SeriesBiquad::unit()
|
||||||
|
}
|
||||||
|
#[pyo3(name = "filter")]
|
||||||
|
/// See: [SeriesBiquad::filter()]
|
||||||
|
pub fn filter_py<'py>(
|
||||||
|
&mut self,
|
||||||
|
py: Python<'py>,
|
||||||
|
input: PyArrayLike1<Flt>,
|
||||||
|
) -> PyResult<&'py PyArray1<Flt>> {
|
||||||
|
Ok(self.filter(input.as_slice()?).into_pyarray(py))
|
||||||
|
}
|
||||||
|
#[pyo3(name = "reset")]
|
||||||
|
/// See: [SeriesBiquad::reset()]
|
||||||
|
pub fn reset_py(&mut self) {
|
||||||
|
self.reset();
|
||||||
|
}
|
||||||
|
}
|
||||||
impl SeriesBiquad {
|
impl SeriesBiquad {
|
||||||
/// Create a new series biquad, having an arbitrary number of biquads.
|
/// Create a new series biquad, having an arbitrary number of biquads.
|
||||||
///
|
///
|
||||||
@ -174,7 +244,9 @@ impl SeriesBiquad {
|
|||||||
let filter_coefs = &[1., 0., 0., 1., 0., 0.];
|
let filter_coefs = &[1., 0., 0., 1., 0., 0.];
|
||||||
SeriesBiquad::new(filter_coefs).unwrap()
|
SeriesBiquad::new(filter_coefs).unwrap()
|
||||||
}
|
}
|
||||||
fn clone_dyn(&self)-> Box<dyn Filter> { Box::new(self.clone()) }
|
fn clone_dyn(&self) -> Box<dyn Filter> {
|
||||||
|
Box::new(self.clone())
|
||||||
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
impl Filter for SeriesBiquad {
|
impl Filter for SeriesBiquad {
|
||||||
@ -191,9 +263,12 @@ impl Filter for SeriesBiquad {
|
|||||||
fn reset(&mut self) {
|
fn reset(&mut self) {
|
||||||
self.biqs.iter_mut().for_each(|f| f.reset());
|
self.biqs.iter_mut().for_each(|f| f.reset());
|
||||||
}
|
}
|
||||||
fn clone_dyn(&self)-> Box<dyn Filter> { Box::new(self.clone()) }
|
fn clone_dyn(&self) -> Box<dyn Filter> {
|
||||||
|
Box::new(self.clone())
|
||||||
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
|
#[cfg_attr(feature = "extension-module", pyclass)]
|
||||||
#[derive(Clone)]
|
#[derive(Clone)]
|
||||||
/// Multiple biquad filter that operate in parallel on a signal, and can apply a gain value to each
|
/// Multiple biquad filter that operate in parallel on a signal, and can apply a gain value to each
|
||||||
/// of the returned values. The BiquadBank can be used to decompose a signal by running it through
|
/// of the returned values. The BiquadBank can be used to decompose a signal by running it through
|
||||||
@ -202,28 +277,115 @@ impl Filter for SeriesBiquad {
|
|||||||
///
|
///
|
||||||
/// # Detailed description
|
/// # Detailed description
|
||||||
///
|
///
|
||||||
|
/// Below is an example of the signal flow is for the case of three SeriesBiquad filters, `h1`,
|
||||||
|
/// `h2` and `h3`:
|
||||||
///
|
///
|
||||||
|
/// ```markdown
|
||||||
///
|
///
|
||||||
|
/// analysis() gain application sum()
|
||||||
|
///
|
||||||
|
/// +------+ +-----+ +------------+
|
||||||
|
/// +-----+ h1 |---+ g1 +-------------+ | |
|
||||||
|
/// | +------+ +-----+ ++ | +------ |
|
||||||
|
/// | +-----| ++ |
|
||||||
|
/// Input | +------+ +-----+ | ++ | Output of filter()
|
||||||
|
///--------|>--+-----+ h2 |---+ g2 |--------------------| +-+ +----------------|>
|
||||||
|
/// | ---+---+ +-----+ | +-+ |
|
||||||
|
/// | +-----| ++ |
|
||||||
|
/// | +------+ +-----+ ++ | ++ |
|
||||||
|
/// +-----+ h3 |---+ g3 |-------------+ | +------ |
|
||||||
|
/// +------+ +-----+ | |
|
||||||
|
/// | +------------+
|
||||||
|
/// |
|
||||||
|
/// | Output of analysis() method (optional)
|
||||||
|
/// +-------------|>
|
||||||
|
/// ```
|
||||||
pub struct BiquadBank {
|
pub struct BiquadBank {
|
||||||
biqs: Vec<Box<dyn Filter>>,
|
biqs: Vec<Box<dyn Filter>>,
|
||||||
gains: Vec<Flt>,
|
gains: Vec<Flt>,
|
||||||
}
|
}
|
||||||
|
|
||||||
|
#[cfg(feature = "extension-module")]
|
||||||
|
#[cfg_attr(feature = "extension-module", pymethods)]
|
||||||
|
/// Methods to wrap it in Python
|
||||||
impl BiquadBank {
|
impl BiquadBank {
|
||||||
|
#[new]
|
||||||
|
/// Create new biquadbank filter set. See [BiquadBank::new()]
|
||||||
|
///
|
||||||
|
pub fn new_py<'py>(coefs: PyReadonlyArrayDyn<Flt>) -> PyResult<Self> {
|
||||||
|
let mut filts = vec![];
|
||||||
|
for col in coefs.as_array().columns() {
|
||||||
|
match col.as_slice() {
|
||||||
|
Some(colslice) => {
|
||||||
|
let new_ser = SeriesBiquad::new(colslice)?;
|
||||||
|
filts.push(new_ser.clone_dyn());
|
||||||
|
}
|
||||||
|
None => {
|
||||||
|
return Err(PyValueError::new_err("Error generating column"));
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
Ok(BiquadBank::new(filts))
|
||||||
|
}
|
||||||
|
#[pyo3(name = "filter")]
|
||||||
|
/// See: [BiquadBank::filter()]
|
||||||
|
pub fn filter_py<'py>(
|
||||||
|
&mut self,
|
||||||
|
py: Python<'py>,
|
||||||
|
input: PyArrayLike1<Flt>,
|
||||||
|
) -> PyResult<&'py PyArray1<Flt>> {
|
||||||
|
Ok(self.filter(input.as_slice()?).into_pyarray(py))
|
||||||
|
}
|
||||||
|
#[pyo3(name = "reset")]
|
||||||
|
/// See: [BiquadBank::reset()]
|
||||||
|
pub fn reset_py(&mut self) {
|
||||||
|
self.reset();
|
||||||
|
}
|
||||||
|
|
||||||
|
#[pyo3(name = "set_gains")]
|
||||||
|
/// See: [BiquadBank::set_gains()]
|
||||||
|
pub fn set_gains_py<'py>(&mut self, py: Python<'py>, gains: PyArrayLike1<Flt>) -> PyResult<()> {
|
||||||
|
if gains.len() != self.len() {
|
||||||
|
return Err(PyValueError::new_err("Invalid number of provided gains"));
|
||||||
|
}
|
||||||
|
self.set_gains(gains.as_slice()?);
|
||||||
|
Ok(())
|
||||||
|
}
|
||||||
|
#[pyo3(name = "set_gains_dB")]
|
||||||
|
/// See: [BiquadBank::set_gains_dB()]
|
||||||
|
pub fn set_gains_dB_py<'py>(&mut self, py: Python<'py>, gains_dB: PyArrayLike1<Flt>) -> PyResult<()> {
|
||||||
|
if gains_dB.len() != self.len() {
|
||||||
|
return Err(PyValueError::new_err("Invalid number of provided gains"));
|
||||||
|
}
|
||||||
|
self.set_gains_dB(gains_dB.as_slice()?);
|
||||||
|
Ok(())
|
||||||
|
|
||||||
|
}
|
||||||
|
#[pyo3(name = "len")]
|
||||||
|
/// See: [BiquadBank::len()]
|
||||||
|
pub fn len_py(&self) -> usize {
|
||||||
|
self.len()
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
impl BiquadBank {
|
||||||
/// Create new biquad bank. Initialized from given vector of series biquads.
|
/// Create new biquad bank. Initialized from given vector of series biquads.
|
||||||
// #[new]
|
|
||||||
pub fn new(biqs: Vec<Box<dyn Filter>>) -> BiquadBank {
|
pub fn new(biqs: Vec<Box<dyn Filter>>) -> BiquadBank {
|
||||||
let gains = vec![1.0; biqs.len()];
|
let gains = vec![1.0; biqs.len()];
|
||||||
BiquadBank { biqs, gains }
|
BiquadBank { biqs, gains }
|
||||||
}
|
}
|
||||||
|
/// Return the number of parallel filters installed.
|
||||||
|
pub fn len(&self) -> usize {
|
||||||
|
self.biqs.len()
|
||||||
|
}
|
||||||
|
|
||||||
/// Set the gains for each of the biquad. The gains are not used in the analyisis phase, but in
|
/// Set the gains for each of the biquad. The gains are not used in the analyisis phase, but in
|
||||||
/// the reconstruction phase, so when BiquadBank::filter() is run on an input signal.
|
/// the reconstruction phase, so when BiquadBank::filter() is run on an input signal.
|
||||||
///
|
///
|
||||||
/// # Panics
|
/// # Panics
|
||||||
///
|
///
|
||||||
/// When gains_dB.len() != to the number of filters.
|
/// When gains_dB.len() != to the number of filters.
|
||||||
pub fn set_gains_dB(&mut self, gains_dB: Vd) {
|
pub fn set_gains_dB(&mut self, gains_dB: &[Flt]) {
|
||||||
if gains_dB.len() != self.gains.len() {
|
if gains_dB.len() != self.gains.len() {
|
||||||
panic!("Invalid gains size!");
|
panic!("Invalid gains size!");
|
||||||
}
|
}
|
||||||
@ -232,6 +394,8 @@ impl BiquadBank {
|
|||||||
.zip(gains_dB)
|
.zip(gains_dB)
|
||||||
.for_each(|(g, gdB)| *g = Flt::powf(10., gdB / 20.));
|
.for_each(|(g, gdB)| *g = Flt::powf(10., gdB / 20.));
|
||||||
}
|
}
|
||||||
|
/// Set linear gain values for each biquad. Same comments hold as for
|
||||||
|
/// [BiquadBank::set_gains_dB()].
|
||||||
pub fn set_gains(&mut self, gains: &[Flt]) {
|
pub fn set_gains(&mut self, gains: &[Flt]) {
|
||||||
if gains.len() != self.gains.len() {
|
if gains.len() != self.gains.len() {
|
||||||
panic!("Invalid gains size!");
|
panic!("Invalid gains size!");
|
||||||
@ -273,8 +437,9 @@ impl Filter for BiquadBank {
|
|||||||
fn reset(&mut self) {
|
fn reset(&mut self) {
|
||||||
self.biqs.iter_mut().for_each(|b| b.reset());
|
self.biqs.iter_mut().for_each(|b| b.reset());
|
||||||
}
|
}
|
||||||
fn clone_dyn(&self)-> Box<dyn Filter> { Box::new(self.clone()) }
|
fn clone_dyn(&self) -> Box<dyn Filter> {
|
||||||
|
Box::new(self.clone())
|
||||||
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
#[cfg(test)]
|
#[cfg(test)]
|
||||||
|
43
src/lib.rs
43
src/lib.rs
@ -1,9 +1,40 @@
|
|||||||
//! # Library for acoustic signal processing
|
//! # Library for acoustic signal processing
|
||||||
|
//!
|
||||||
|
//! This crate contains structures and functions to perform acoustic measurements, interact with
|
||||||
|
//! data acquisition devices and apply common acoustic analysis operations on them.
|
||||||
|
|
||||||
#![warn(missing_docs)]
|
#![warn(missing_docs)]
|
||||||
#![allow(non_snake_case)]
|
#![allow(non_snake_case)]
|
||||||
#![allow(non_upper_case_globals)]
|
#![allow(non_upper_case_globals)]
|
||||||
#![allow(unused_imports)]
|
#![allow(unused_imports)]
|
||||||
mod config;
|
|
||||||
pub mod filter;
|
mod config;
|
||||||
|
pub mod filter;
|
||||||
|
|
||||||
|
extern crate pyo3;
|
||||||
|
#[cfg(feature = "extension-module")]
|
||||||
|
use pyo3::prelude::*;
|
||||||
|
|
||||||
|
/// A Python module implemented in Rust.
|
||||||
|
#[cfg(feature = "extension-module")]
|
||||||
|
#[pymodule]
|
||||||
|
#[pyo3(name="_lasprs")]
|
||||||
|
fn lasprs(py: Python, m: &PyModule) -> PyResult<()> {
|
||||||
|
|
||||||
|
pyo3_add_submodule_filter(py, &m)?;
|
||||||
|
Ok(())
|
||||||
|
}
|
||||||
|
|
||||||
|
/// Add filter submodule to extension
|
||||||
|
#[cfg(feature = "extension-module")]
|
||||||
|
fn pyo3_add_submodule_filter(py: Python, m: &PyModule) -> PyResult<()> {
|
||||||
|
// Add filter submodule
|
||||||
|
let filter_module = PyModule::new(py, "filter")?;
|
||||||
|
filter_module.add_class::<filter::Biquad>()?;
|
||||||
|
filter_module.add_class::<filter::SeriesBiquad>()?;
|
||||||
|
filter_module.add_class::<filter::BiquadBank>()?;
|
||||||
|
m.add_submodule(filter_module)?;
|
||||||
|
|
||||||
|
Ok(())
|
||||||
|
}
|
||||||
|
|
||||||
|
62
test/test_filter.py
Executable file
62
test/test_filter.py
Executable file
@ -0,0 +1,62 @@
|
|||||||
|
#!/usr/bin/env python3
|
||||||
|
import numpy as np
|
||||||
|
from lasprs.filter import Biquad, SeriesBiquad, BiquadBank
|
||||||
|
|
||||||
|
|
||||||
|
def test_biquad1():
|
||||||
|
"""
|
||||||
|
Test if manual unit biquad matches response for manual input biquad.
|
||||||
|
"""
|
||||||
|
input_ = np.array([1.0, 0, 0, 0, 0, 0, 0])
|
||||||
|
|
||||||
|
b = Biquad(np.array([1., 0, 0, 1, 0, 0]))
|
||||||
|
b2 = Biquad.unit()
|
||||||
|
out1 = b.filter(input_)
|
||||||
|
out2 = b2.filter(input_)
|
||||||
|
|
||||||
|
expected_output = input_
|
||||||
|
assert(np.linalg.norm(out1 - out2) == 0.)
|
||||||
|
assert(np.linalg.norm(out1 - expected_output) == 0.)
|
||||||
|
|
||||||
|
def test_seriesbiquad():
|
||||||
|
"""
|
||||||
|
Test if manual unit biquad matches response for manual input biquad.
|
||||||
|
"""
|
||||||
|
input_ = np.array([1.0, 0, 0, 0, 0, 0, 0])
|
||||||
|
|
||||||
|
f1 = [1., 0, 0, 1, 0, 0]
|
||||||
|
f2 = [1., 0, 0, 1, 0, 0]
|
||||||
|
f = f1+f2
|
||||||
|
|
||||||
|
# Two biquads in series
|
||||||
|
b = SeriesBiquad(np.array(f))
|
||||||
|
|
||||||
|
# Single one
|
||||||
|
b2 = SeriesBiquad.unit()
|
||||||
|
|
||||||
|
out1 = b.filter(input_)
|
||||||
|
out2 = b2.filter(input_)
|
||||||
|
|
||||||
|
expected_output = input_
|
||||||
|
assert(np.linalg.norm(out1 - out2) == 0.)
|
||||||
|
assert(np.linalg.norm(out1 - expected_output) == 0.)
|
||||||
|
|
||||||
|
def test_biquadbank():
|
||||||
|
"""
|
||||||
|
See if two filters
|
||||||
|
"""
|
||||||
|
input_ = np.array([1.0, 0, 0, 0, 0, 0, 0])
|
||||||
|
f1 = [1., 0, 0, 1, 0, 0]
|
||||||
|
f2 = [1., 0, 0, 1, 0, 0]
|
||||||
|
filters = np.array([f1, f2]).T
|
||||||
|
bank = BiquadBank(filters)
|
||||||
|
bank.set_gains([0.5, 0.5])
|
||||||
|
filtered = bank.filter(input_)
|
||||||
|
assert(bank.len() == 2)
|
||||||
|
assert(np.linalg.norm(input_ - filtered) == 0)
|
||||||
|
|
||||||
|
|
||||||
|
if __name__ == '__main__':
|
||||||
|
test_biquad1()
|
||||||
|
test_seriesbiquad()
|
||||||
|
test_biquadbank()
|
@ -1,5 +1,11 @@
|
|||||||
#!/bin/bash
|
#!/bin/bash
|
||||||
|
|
||||||
|
# Required is cargo-watch and http:
|
||||||
#
|
#
|
||||||
testargs=""
|
# ```bash
|
||||||
testargs=-- --nocapture
|
# $ cargo install cargo-watch cargo-docserver`
|
||||||
cargo watch -s "cargo rustdoc --lib && cargo test ${testargs} && http target/doc"
|
# ```
|
||||||
|
#
|
||||||
|
cargo watch -s "cargo rustdoc --lib && cargo test ${testargs} && cargo docserver"
|
||||||
|
|
||||||
|
# Then open: ${browser} http://localhost:4000
|
||||||
|
Loading…
Reference in New Issue
Block a user