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 (in Signal Processing)
  • Sampling Theorem (by Whittaker–Nyquist–Kotelnikov–Shannon)
  • Nyquist rate
  • Signal Reconstruction
  • Analog-to-Digital Conversion
  • Digital-to-Analog Conversion
  • Sparse Sampling / Compressed Sensing
  • Adaptive Sampling / Active Learning
  • Aliasing
• Transformations
  • Fourier Transform
  • Laplace Transform
  • Z-Transform
• Harmonic Analysis
  • Topological groups
  • Pontryagin duality
• Filter Theory / Filter Analysis / Filter Design
  • Low-pass filter (LPF) Vs High-pass filter (HPF)
  • Linear filter Vs Nonlinear filter
  • Finite Impulse Response (FIR) filter Vs Infinite Impulse Response (IIR) filter
  • Time-invariant filer Vs Time-variant filter
  • Causal filter Vs Non-causal filter
  • Analog filter Vs Digital filter
  • Discrete-time (sampled) filter or Continuous-time filter
  • Gabor filter (in Digital Image Processing)
• Applications
  • Electric Circuit Analysis
  • Communication Systems
  • Feedback Systems / Control Systems
  • Financial Engineering / Computational Finance

Online Courses

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
• Bob - Python, C++
• GSPBox - MATLAB
• PyGSP - Python
• Information Theory and Signal Processing Library (libit) - C

See also

• Machine Learning

Other Resources

• Signal Processing - Google Scholar Metrics (Top Publications)
• Signal Processing - Nature
• 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