Digital Signal Processing

Signal Processing Jupyter Notebooks

• Sound Analysis with the Fourier Transform. A set of IPython Notebooks by Caleb Madrigal to explain what the Fourier Transform is and how to use it for basic audio processing applications.

• An introduction to Compressed Sensing, part of Python for Signal Processing: an entire book (and blog) on the subject by Jose Unpingco.

• Kalman and Bayesian Filters in Python. A textbook and accompanying filtering library on the topic of Kalman filtering and other related Bayesian filtering techniques.

• Classify human movements using Dynamic Time Warping & K Nearest Neighbors: Signals from a smart phone gyroscope and accelerometer are used to classify if the person is running, walking, sitting standing etc. This IPython notebook contains a python implementation of DTW and KNN algorithms along with explanations and a practical application.

• Digital Signal Processing A collection of notebooks that accompanies a masters course on the topic.

• An introduction to openCV An introduction course into using openCV for computer vision in python

• Signal: Filtering, STFT, and Laplace Transform Filtering signal with a butterworth low-pass filter and plotting the STFT of it with a Hanning window and then plotting the Laplace transform.

Tools

• noise.sh Music as Excel

• AudioMass - Audio Editor

• dsp.audio code editor

• Audio DSP Playground

• Harmonics

Filter Design Tools

• Filter Design Tool web based

• RF Tools - LC Filter Design Tool web based

• Filter Design and Analysis web based

• TFilter - Free online FIR filter design web based

• FIIIR! web based

• FIR Filter Designer web based

• List of FIR Filter tools

Tutorial

• DSPRelated.com - All About Digital Signal Processing

• Kalman and Bayesian Filter in Python License: CC-BY

• Digital Signal Processing Lecture License: CC-BY

• A Compact Primer on Digital Signal Processing Web License: Eclipse Public License

• Voice recording and processing for talks, streaming and conferencing. The Reference.

• How to Record Great Sounding / High Quality Audio at Home—Nick Janetakis

• Filter playground - Boris Smus

• Micromodeler - Launch Applications

• Music Information Retrieval in Python

• Fundamental of Music Processing - Slides

• MUMT 307 Week #1

• GNU Octave: Audio Processing

• Digital Sound & Music–Linking Science, Art, and Practice Through Digital Sound

• Practical FIR Filter Design: Part 1 - Design with Octave or Matlab - Technical Articles

• DSP Course JF Engin 100-300

• gnebbia/OctaveMultimediaProcessing: Octave Multimedia content processing examples

• E4896 Music Signal Processing - outline

• DSP First

• Interactive DSP Laboratory

  • IIR and FIR Filters Lab

• EE445S Real-Time DSP Laboratory - Lectures and Labs

• willfehlmusic/Python_Sketchpads: Tutorial Python projects covering a number of topics. These are tutorials to make, certain concepts of interest, absolutely clear to the user.

• Virtual Labs

• Lab 0 - Introduction to Module Set - Purdue Digital Signal Processing Labs (ECE 438) - OpenStax CNX

• Making sounds using SDL and visualizing them on a simulated oscilloscope. - NICK TASIOS

Audio Programming

• Pure Data—Pd Community Site Pure Data (or just Pd) is an open source visual programming language for multimedia.

• elk.audio Audio Operating Systems

• VCV Rack - The Eurorack Simulator for Windows/Mac/Linux

• Sassy by sol_hsa Sassy is an audio spreadsheet. Or, as it stands, it's THE audio spreadsheet.

• JUCE - JUCE The leading framework for multi-platform audio applications

• Tone.js

DSP Notes

• Introduction to Filters: FIR versus IIR

• Highres spectrograms with the DFT Shift Theorem - GLSL & Sound

• Difference between IIR and FIR filters: a practical design guide - ASN Home

• A Narrow Bandpass Filter in Octave or Matlab - Paul Lovell An Efficient Lowpass Filter in Octave - Paul Lovell

• Signal Analysis I: What is a Wave? An Introduction to Fouriers Theorem Digital Filter Design: Why is Linear Phase Important?

• Étude in C minor

• Digital Audio Basics: Audio Sample Rate and Bit Depth

• WASM SYNTH, or, how music taught me the beauty of math

DSP Tools

• olilarkin/awesome-musicdsp: A curated list of my favourite music DSP and audio programming resources

• Fragment - Real-time audiovisual live coding environment

• CCWT

DSP Books

• DSP Illustration

• The Scientist and Engineer's Guide to Digital Signal Processing by Steven W. Smith, Ph.D.

• SP4Comm: Signal Processing for Communication

• Free DSP Books

• Wireless Communications: Signal Processing Perspectives-Poor and Wornell

• Think DSP License: CC-BY-NC

• SPECTRAL AUDIO SIGNAL PROCESSING

• INTRODUCTION TO DIGITAL FILTERS

• Preface for Digital Signal Processing: A User's Guide - DSPA - OpenStax CNX

• Preface for Digital Signal Processing: A User's Guide - Introduction to DSP - OpenStax CNX

• Book Series Overview

• Digital Filter Design

• Circles Sines and Signals - Introduction License : Eclipse Public

DSP Lectures

• Digital Signal Processing Lecture License: CC-BY

DSP Interactive

• Fourier Transform

• Premier on Digital Signal Processing, Github, License: Eclipse Public License

Software Defined Radio

• PySDR: A Guide to SDR and DSP using Python by Dr. Marc Lichtman GitHub License: -

• Software-Defined Radio for Engineers Material Supports GitHub

Music Retrieval Course

• Music Information Retrieval License: MIT

Speech Recognition

• Libre ASR: An On-Premises, Streaming Speech Recognition System

Signal Processing Notes

• Exploring Sound : Why does an A note on a piano sound different from an A note on a violin?

• Everything you need to know about surround sound in headphones - SoundGuys

• HeSuVi download - SourceForge.net

• Headphone 7.1 Surround Comparison (GSX vs SBX vs Atmos vs CMSS vs DH vs DTSH:X vs Sonic vs HRTF) - YouTube

Signal Processing

• Free Online Audio Tests, Test Tones and Tone Generators

• Spectro

• img-encode - Convert an image to sound spectrum (image to sound)

Free Books on Signal Processing

DSP: THEORY

1. The Scientist and Engineer's Guide to Digital Signal Processing- Steven W. Smith

2. Introduction to Signal Processing -Sophocles J. Orfanidis

3. Astronomical Image and Data Analysis -JL Starck and F Murtagh

4. The theory of linear prediction- Vaidyanathan, P. P.

5. Introduction to Statistical Signal Processing - R.M. Gray

6. Mixed Signal and DSP Design Techniques - edited by Walt Kester

7. Modern Signal Processing - Edited by Edited by Daniel N. Rockmore and Dennis M. Healy

8. Advances in Signal Transforms: Theory and Applications - Edited by: J. Astola, and L. Yaroslavsky

9. Advances in Nonlinear Signal and Image Processing -Edited by: Stephen Marshall and Giovanni L. Sicuranza

10. The Data Conversion Handbook - Walt Kester

11. Mathematics Of The Discrete Fourier Transform (DFT) - Julius O. Smith III

12. Principles of Sigma-Delta Modulation for A/D Converters - Sangil Park

13. Using the ADSP-2100 Family Vol. 1 & Vol. 2 -Analog Devices Inc.

14. A Technical Tutorial on Digital Signal Synthesis-Analog Devices Inc.

DSP: COMMUNICATIONS

1. Signal Processing for Communications -Paolo Prandoni and Martin Vetterli

2. Signals, Samples and Stuff: A DSP Tutorial: Part 1, Part 2, Part 3, Part 4 - Doug Smith

3. FAQs on Digital Signal Processing-

4. Wireless Communications: Signal Processing Perspectives-Poor and Wornell

5. Signal Processing with Fractals: A Wavelet-Based Approach-G. W. Wornell

6. Wireless Communications: Signal Processing Perspectives-Poor and Wornell

7. Stochastic Processes, Detection and Estimation-A. S. Willsky and G. W. Wornell

DSP: IMAGE PROCESSING

1. Fundamentals of Image Processing - Young, Gerbrands and Vliet

2. Advances in Nonlinear Signal and Image Processing -Edited by: Stephen Marshall and Giovanni L. Sicuranza

3. Image Processing and Data Analysis: The Multiscale Approach -JL Starck, F Murtagh and A Bijaoui

4. Principles of Computerized Tomographic Imaging - Kak and Slaney

5. IMAGE ESTIMATION BY EXAMPLE: Geophysical Soundings Image Construction - Jon Claerbout and Sergey Fomel

6. BASIC EARTH IMAGING- Jon Claerbout

7. EARTH SOUNDINGS ANALYSIS: Processing versus Inversion - Jon Claerbout

8. IMAGING THE EARTH'S INTERIOR- Jon Claerbout

9. FUNDAMENTALS OF GEOPHYSICAL DATA PROCESSING - Jon Claerbout

10. Genetic and Evolutionary Computation for Image Processing and Analysis -Stefano Cagnoni, Evelyne Lutton, and Gustavo Olague

11. Advances in Nonlinear Signal and Image Processing -Edited by: Stephen Marshall and Giovanni L. Sicuranza

12. Image Processing in C: Analyzing and Enhancing Digital ImagesDwayne Phillips

DSP: AUDIO

1. Introduction to Sound Processing -Davide Rocchesso

2. Introduction To Digital Filters, With Audio Applications -Julius Smith

3. Mathematics of the Discrete Fourier Transform (DFT), With Audio Applications -Julius Smith

4. Physical Audio Signal Processing For Virtual Musical Instruments and Audio Effects -Julius Smith

5. High-Fidelity Multichannel Audio Coding - Dai Tracy Yang, Chris Kyriakakis, and C.-C. Jay Kuo

6. Physical Audio Signal Processing-Julius O. Smith III

7. Spectral Audio Signal Processing -Julius O. Smith III

DSP: SPECTRAL ANALYSIS

1. Bayesian Spectrum Analysis and Parameter Estimation -G. Larry Bretthorst

2. Chebyshev and Fourier Spectral Methods - John Boyd

3. The Temporal and Spectral Characteristics of Ultrawideband Signals -William Kissick

DSP: MISCELLANEOUS TOPICS

1. Biomedical Digital Signal Processing -Willis J. Tompkins

2. Stochastic Optimal Control: The Discrete-Time Case -Bertsekas

3. Signal Processing with Fractals: A Wavelet-Based Approach - Gregory Wornell

4. Nonlinear Systems Theory: The Volterra/Wiener Approach -Wilson Rugh

5. Detection of Abrupt Changes - Theory and Application -Basseville and Nikiforov

6. An Introduction to Signal Processing in Chemical Analysiy - T. OHaver

7. Multimedia Fingerprinting Forensics for Traitor Tracing -K. J. Ray Liu, Wade Trappe, Z. Jane Wang, Min Wu, and Hong Zhao

8. Genomic Signal Processing and Statistics -Edited by:Dougherty, Shmulevich, Chen, and Wang

DSP: IMPLEMENTATION

1. Computer Aids for VLSI Design -Steven Rubin

2. Application-Specific Integrated Circuits - Michael Smith

3. The VHDL Cookbook -Peter Ashenden

4. Controlling Noise and Radiation in Mixed-Signal and Digital Systems - Nicholas Gray

Free Books on Signal Processing II

1. Introduction to Digital Signal Processing- Paolo Prandoni

2. Efficient Digital Fiilters -Matthew Donadio

3. Discrete-Time Signal Processing - MIT

4. Modern Signal Processing- Edited by Daniel N. Rockmore and Dennis M. Healy, Jr.

5. Signals and Systems - MIT

Signal Processing

• Self-Paced Online Courses Signal Processing with Matlab