Difference between revisions of "Signal Processing"

From Ioannis Kourouklides
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** Nyquist rate
** Nyquist rate
** Signal Reconstruction
** Signal Reconstruction
** Analog-to-Digital Conversion
** Digital-to-Analog Conversion
** [[Compressed Sensing|Sparse Sampling / Compressed Sensing]]
** [[Compressed Sensing|Sparse Sampling / Compressed Sensing]]
** Adaptive Sampling / [[Machine Learning|Active Learning]]
** Adaptive Sampling / [[Machine Learning|Active Learning]]

Revision as of 01:23, 27 May 2018


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)
  • 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)
  • Transformations
    • Fourier Transform
    • Laplace Transform
    • Z-Transform
  • Harmonic Analysis
  • 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

Online Courses

Video Lectures

Lecture Notes


  • 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.


See also

Other Resources