多速率信号处理教程_Jupyter Notebook_下载.zip

# Multirate Signal Processing Notebooks and Tutorials <p align="center"> <img src="./images/msp_header.png"> </p> #### Prof. Dr. -Ing. Gerald Schuller <br> Jupyter Notebooks and Videos: Renato Profeta [Applied Media Systems Group](https://www.tu-ilmenau.de/en/applied-media-systems-group/) <br> [Technische Universität Ilmenau](https://www.tu-ilmenau.de/) # Content - 01 Introduction: [](https://nbviewer.jupyter.org/github/GuitarsAI/MRSP_Notebooks/blob/master/MSP_Intro.ipynb)[](https://mybinder.org/v2/gh/GuitarsAI/MRSP_Notebooks/master?filepath=MSP_Intro.ipynb)[](https://colab.research.google.com/github/GuitarsAI/MRSP_Notebooks/blob/master/MSP_Intro.ipynb)[](https://youtu.be/rkQN6WVi8ak) - What is Multirate Signal Processing? Where is it used? - Python Example of a Discrete Time Signal - Python Example for a Live Plot of a Microphone Signal - Javascript Example for a Live Plot of a Microphone Signal - Nyquist Theorem - Simple Sample Rate Conversion Example - Basic Building Blocks of Multirate Signal Processing - Critical Sampling - Analysis Filter Bank - Synthesis Filter Bank - 02 Multiresolution: [](https://nbviewer.jupyter.org/github/GuitarsAI/MRSP_Notebooks/blob/master/MSP_Multiresolution.ipynb)[](https://mybinder.org/v2/gh/GuitarsAI/MRSP_Notebooks/master?filepath=MSP_Multiresolution.ipynb)[](https://colab.research.google.com/github/GuitarsAI/MRSP_Notebooks/blob/master/MSP_Multiresolution.ipynb)[](https://youtu.be/O4m8fZHgl0c) - Uniform Filter Banks - Python Example: Live Spectrogram and Aliasing - Non-Uniform Frequency Decomposition - Frequency Domain and Notation - Common Types of Frequency Transforms: - Discrete Time Fourier Transform (DTFT) - Discrete Fourier Transform (DFT) - Discrete Cosine Transform (DCT) - z-Transform - Short-Time Fourier Transform (STFT) - 03 Frequency Response: [](https://nbviewer.jupyter.org/github/GuitarsAI/MRSP_Notebooks/blob/master/MSP_FrequencyResponse.ipynb)[](https://mybinder.org/v2/gh/GuitarsAI/MRSP_Notebooks/master?filepath=MSP_FrequencyResponse.ipynb)[](https://colab.research.google.com/github/GuitarsAI/MRSP_Notebooks/blob/master/MSP_FrequencyResponse.ipynb)[](https://youtu.be/7XWrH9IV-EA) - Frequency Response - Example: Obtaining the Frequency Response of a "Black Box" system using Noise - Example: Obtaining the Frequency Response of a "Black Box" system using Sweeping Sinusoid - Frequency Response: z-Transform and the DTFT - Example: Low Pass Filter as Moving Average - Discrete Convolution as Matrix Multiplication (Sylvester Matrix) - Plotting Poles and Zeros in the Complex Plane - Complex Conjugate Symmetry - dB Revision - dB for Voltage and Power - Cascading Filters - 04 Filters: [](https://nbviewer.jupyter.org/github/GuitarsAI/MRSP_Notebooks/blob/master/MSP_Filters.ipynb)[](https://mybinder.org/v2/gh/GuitarsAI/MRSP_Notebooks/master?filepath=MSP_Filters.ipynb)[](https://colab.research.google.com/github/GuitarsAI/MRSP_Notebooks/blob/master/MSP_Filters.ipynb)[](https://youtu.be/BhyxN_INkNw) - Ideal Low Pass Filter - Frequency Response - Impulse Response - Delay (Shift Operator) - 05 Filters and Windows: [](https://nbviewer.jupyter.org/github/GuitarsAI/MRSP_Notebooks/blob/master/MRSP_FiltersAndWindows.ipynb)[](https://mybinder.org/v2/gh/GuitarsAI/MRSP_Notebooks/master?filepath=MRSP_FiltersAndWindows.ipynb)[](https://colab.research.google.com/github/GuitarsAI/MRSP_Notebooks/blob/master/MRSP_FiltersAndWindows.ipynb)[](https://youtu.be/CmwHW7PBNf8) - Ideal Low Pass Filter - Quadratic Error - Parseval Theorem - Rectangular Window - Approximation of an Ideal Low Pass Filter using a Rectangular Window and Delay - 06a Windows: [](https://nbviewer.jupyter.org/github/GuitarsAI/MRSP_Notebooks/blob/master/MRSP_Windows.ipynb)[](https://mybinder.org/v2/gh/GuitarsAI/MRSP_Notebooks/master?filepath=MRSP_Windows.ipynb)[](https://colab.research.google.com/github/GuitarsAI/MRSP_Notebooks/blob/master/MRSP_Windows.ipynb)[](https://youtu.be/Dwkdlb5xYkM) - Rectangular Window - Raised Cosine Window - Kaiser Window - Vorbis Specification - 06b Filter Design with the Window Method: [](https://nbviewer.jupyter.org/github/GuitarsAI/MRSP_Notebooks/blob/master/MRSP_Filter_Design_Windows.ipynb)[](https://mybinder.org/v2/gh/GuitarsAI/MRSP_Notebooks/master?filepath=MRSP_Filter_Design_Windows.ipynb)[](https://colab.research.google.com/github/GuitarsAI/MRSP_Notebooks/blob/master/MRSP_Filter_Design_Windows.ipynb)[](https://youtu.be/hxWyLvSwh7k) - Design Method - Design using Modulation - 07 Sampling: [](https://nbviewer.jupyter.org/github/GuitarsAI/MRSP_Notebooks/blob/master/MRSP_Sampling.ipynb)[](https://mybinder.org/v2/gh/GuitarsAI/MRSP_Notebooks/master?filepath=MRSP_Sampling.ipynb)[](https://colab.research.google.com/github/GuitarsAI/MRSP_Notebooks/blob/master/MRSP_Sampling.ipynb)[](https://youtu.be/PEaW9xG5cJM) - Sampling a Discrete Time Signal - Real-Time Python Example - Downsampling - Upsampling - 08 Effects in the z-Domain: [](https://nbviewer.jupyter.org/github/GuitarsAI/MRSP_Notebooks/blob/master/MRSP_zDomain.ipynb)[](https://mybinder.org/v2/gh/GuitarsAI/MRSP_Notebooks/master?filepath=MRSP_zDomain.ipynb)[](https://colab.research.google.com/github/GuitarsAI/MRSP_Notebooks/blob/master/MRSP_zDomain.ipynb)[![Youtube](https://badge