The book discusses receiving signals that most electrical engineers detect and study. The vast majority of signals could never be detected due to random additive signals, known as noise, that distorts them or completely overshadows them. Such examples include an audio signal of the pilot communicating with the ground over the engine noise or a bioengineer listening for a fetus heartbeat over the mothers. The text presents the methods for extracting the desired signals from the noise. Each new development includes examples and exercises that use MATLAB to provide the answer in graphic forms for the reader's comprehension and understanding.
Abbreviations
Chapter 1 Continuous and Discrete Signals
Chapter 2 Fourier Analysis of Continuous and Discrete Signals
Chapter 3 The z-Transform, Difference Equations, and Discrete Systems
Chapter 4 Finite Impulse Response (FIR) Digital Filter Design
Chapter 5 Random Variables, Sequences, and Probability Functions
Chapter 6 Linear Systems with Random Inputs, Filtering, and Power Spectral Density
Chapter 7 Least Squares-Optimum Filtering
Chapter 8 Nonparametric (Classical) Spectra Estimation
Chapter 9 Parametric and Other Methods for Spectra Estimation
Chapter 10 Newtons and Steepest Descent Methods
Chapter 11 The Least Mean Square (LMS) Algorithm
Chapter 12 Variants of Least Mean Square Algorithm
Chapter 13 Nonlinear Filtering
Appendix 1: Suggestions and Explanations for MAlƒ&
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