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.

Tutorial

• 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

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

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](https://sourceforge.net/projects/hesuvi/)

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

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 Images- Dwayne 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