Signal Processing



This page contains resources about  Signal Processing in general.

More specific information is included in each subfield.

Subfields and Concepts
See Category:Signal Processing for some of its subfields.
 * Signal = Information and (additive/multiplicative) noise
 * Noise
 * Additive vs Multiplicative noise
 * White, Pink, Red/Brownian, Grey noise
 * Gaussian vs Non-Gaussian noise
 * Additive White Gaussian noise (AWGN)
 * Energy (in Signal Processing)
 * Energy (in Physics) and Characteristic Impedance
 * Energy-Based Model (EBM)
 * Statistical Signal Processing / Adaptive Signal Processing
 * Bayesian Signal Processing
 * Digital Signal Processing
 * Digital Image Processing
 * State Space Analysis
 * Linear Systems
 * Discrete-time Systems
 * Continuous-time Systems
 * Linear Time-Invariant (LTI) Systems
 * Time-Variant Systems
 * Sampling
 * Sampling Theorem (by Whittaker–Nyquist–Kotelnikov–Shannon)
 * Nyquist rate
 * Signal Reconstruction
 * Sparse Sampling / Compressed Sensing
 * Adaptive Sampling / Active Learning
 * Aliasing
 * Transformations
 * Fourier Transform
 * Laplace Transform
 * Z-Transform
 * Applications
 * Electric Circuit Analysis
 * Filter Analysis and Design
 * Finite Impulse Response (FIR) filter
 * Infinite Impulse Response (IIR) filter
 * Communication Systems
 * Feedback Systems / Control Systems

Video Lectures

 * Signals and Systems by Alan V. Oppenheim
 * Signals and Systems by Dennis Freeman
 * Signal and Systems by K S Venkatesh
 * Signals and Systems by Suhash Chandra Dutta Roy
 * ECE 2610: Introduction to Signals and Systems by Mark Wickert

Lecture Notes

 * EE102: Introduction to Signals & Systems by Stephen Boyd
 * Signals and Systems - NPTEL
 * ELEC 301 - Introduction to Signals and Systems by Richard Baraniuk
 * Signals and Systems by Tania Stathaki
 * Signals and Linear Systems by Peter Y. K. Cheung
 * Signals and Systems by Rafaello D'Andrea
 * Introduction to Communication, Control, and Signal Processing by Alan V. Oppenheim and George Verghese

Books

 * Oppenheim, A. V., & Verghese, G. C. (2015). Signals, systems and inference. Pearson.
 * Haykin, S. S. (2013). Digital communications. John Wiley & Sons.
 * Proakis, J. G., & Salehi, M. (2013). Fundamentals of communication systems. Pearson.
 * Couch, L. W., Kulkarni, M., & Acharya, U. S. (2012). Digital and analog communication systems. 8th Ed. Prentice Hall.
 * Haykin, S. & Moher M. (2009). Communication systems. 5th Ed. International Student Version. John Wiley & Sons.
 * Lathi, B. P. (2011). Modern digital and analog communication systems. 4th Ed. Oxford University Press.
 * Haykin, S. S., Moher, M., & Song, T. (2007). An introduction to analog and digital communications. 2nd Ed. John Wiley & Sons.
 * Lathi, B. P. (2004). Linear Systems and Signals. 2nd Ed. Oxford University Press.
 * Haykin, S., & Van Veen, B. (2002). Signals and systems. 2nd Ed. John Wiley & Sons.
 * Proakis, J. G., Salehi, M., Zhou, N., & Li, X. (2001). Communication systems engineering. 2nd Ed. Prentice Hall.
 * Lathi, B. P. (2000). Signal Processing and Linear Systems. Oxford University Press.
 * Oppenheim, A. V., & Willsky, A. S. (1997). Signals and Systems. Prentice Hall.

Software

 * Signal Processing Toolbox - MATLAB
 * Python for Signal Processing  using IPython
 * Signal Processing (SciPy.Signal) - Python
 * Information Theory and Signal Processing Library (libit) - C

Other Resources

 * Signal Processing - Google Scholar Metrics (Top Publications)
 * Signal Analysis/Processing Software - a list of software packages
 * MATLAB Vs Python for Signal Processing - a discussion why MATLAB is essential for this field
 * Signals and Systems by Wikibooks
 * Signal Processing by Wikibooks