{ "cells": [ { "cell_type": "markdown", "id": "bcd07c1e-6722-44c7-b162-267f1341c2fe", "metadata": {}, "source": [ "# Frequency weighting plots" ] }, { "cell_type": "code", "execution_count": null, "id": "f0c4d6ef-69b2-4b5c-92fd-d987a11f3cbd", "metadata": {}, "outputs": [], "source": [ "# Prerequisites, uncomment below in case of errors. Also for ipympl, restart Jupyter Lab if it was not installed\n", "\n", "!cd .. && maturin develop -F python-bindings\n", "#!pip install ipympl scipy matplotlib" ] }, { "cell_type": "code", "execution_count": null, "id": "23b45cf6-85bc-4eaa-8f27-77c5b354e772", "metadata": {}, "outputs": [], "source": [ "# If this does not work, install ipympl and reboot Jupyter Lab\n", "%matplotlib widget" ] }, { "cell_type": "code", "execution_count": null, "id": "96090ac9-2033-411d-8e45-0c6b375a268b", "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "from numpy import log10\n", "from lasprs import ZPKModel, FreqWeighting\n", "def level(a):\n", " return 20*np.log10(np.abs(a))" ] }, { "cell_type": "code", "execution_count": null, "id": "52343e3d-63ef-4fc2-ad7e-85ca124efdac", "metadata": {}, "outputs": [], "source": [ "A = ZPKModel.freqWeightingFilter(FreqWeighting.A)\n", "C = ZPKModel.freqWeightingFilter(FreqWeighting.C)" ] }, { "cell_type": "code", "execution_count": null, "id": "7d3cc799-4809-4ea4-8570-89ffbb751a5a", "metadata": {}, "outputs": [], "source": [ "freq = np.logspace(log10(2), log10(2e4), 200)" ] }, { "cell_type": "code", "execution_count": null, "id": "ab22d9cc-03ae-4d58-b730-599b659f9dc0", "metadata": {}, "outputs": [], "source": [ "plt.figure()\n", "plt.title('Frequency response of weighting filters - magnitude')\n", "plt.semilogx(freq, level(A.tf(0, freq)))\n", "plt.semilogx(freq, level(C.tf(0, freq)))\n", "plt.legend(['A-weighting', 'Z-weighting'])\n", "plt.ylabel('Magnitude [dB]')\n", "plt.ylim(-50, 3)\n", "plt.xlabel('Freq. [Hz]')" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.12.3" } }, "nbformat": 4, "nbformat_minor": 5 }