Randomness and Elements of Decision Theory Applied to Signals

By Monica Borda, Raul Malutan, Romulus Terebes

Introduction in Matlab.- Random variables.- Probability distributions.- Joint random variables.- Random processes.- Binary pseudo-noise sequence generator.- Markov processes.- Noise in telecommunication systems.- Decision systems in noisy transmission channels.- Audio signals denoising using Independent Component Analysis.- Texture classification based on statistical models.- Histogram equalization.- PCM and DPCM.- NN and kNN supervised classification algorithms.- Supervised deep learning classification algorithms.- Texture feature extraction and classification using the Local Binary Patterns operator.

• Format: Hardcover
• Language: English
• ISBN: 3030903133
• ISBN13: 9783030903138
• Release Date: December 2021
• Publisher: Springer
• Length: 242 Pages
• Weight: 1.20 lbs.
• Dimensions: 0.6" x 6.1" x 9.2"