Randomness and elements of decision theory applied to signals

Randomness and elements of decision theory applied to signals / Monica Borda, Romulus Terebes, Raul Malutan, Ioana Ilea, Mihaela Cislariu, Andreia Miclea, Stefania Barburiceanu.

This book offers an overview on the main modern important topics in random variables, random processes, and decision theory for solving real-world problems. After an introduction to concepts of statistics and signals, the book introduces many essential applications to signal processing like denoisin...

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Bibliographic Details
Main Authors: Borda, Monica (Author), Terebes, Romulus (Author), Malutan, Raul (Author), Ilea, Ioana (Author), Cislariu, Mihaela (Author), Miclea, Andreia (Author), Barburiceanu, Stefania (Author)
Format: eBook
Language:English
Published: Cham : Springer, [2021]
Subjects:
Decision making.
Random variables.
Signal processing > Mathematics.
decision making.
Decision making
Random variables
Signal processing > Mathematics
Online Access:Click for online access
Table of Contents:
  • 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.

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