Abstract
Practical signal processing frequently involves statistical aspects. If you are using a sensor to measure say temperature, or light, or pressure, or anything else, you usually get a signal with noise in it, and then there is a problem of noise removal. The first sections of the chapter focus on probability distributions and related concepts and tools. Then, there is a section on Monte Carlo methods. Then, after a short section on the central limit, there is a long section on Baye’s rule. This is followed by another long section on Markov processes. Finally, the chapter concludes with an introduction to MATLAB tools for distributions.
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Giron-Sierra, J.M. (2017). Statistical Aspects. In: Digital Signal Processing with Matlab Examples, Volume 1. Signals and Communication Technology. Springer, Singapore. https://doi.org/10.1007/978-981-10-2534-1_2
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