Random Signals and Noise
eBook - PDF

Random Signals and Noise

A Mathematical Introduction

  1. 216 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Random Signals and Noise

A Mathematical Introduction

About this book

Understanding the nature of random signals and noise is critically important for detecting signals and for reducing and minimizing the effects of noise in applications such as communications and control systems. Outlining a variety of techniques and explaining when and how to use them, Random Signals and Noise: A Mathematical Introduction focuses on applications and practical problem solving rather than probability theory.A Firm Foundation
Before launching into the particulars of random signals and noise, the author outlines the elements of probability that are used throughout the book and includes an appendix on the relevant aspects of linear algebra. He offers a careful treatment of Lagrange multipliers and the Fourier transform, as well as the basics of stochastic processes, estimation, matched filtering, the Wiener-Khinchin theorem and its applications, the Schottky and Nyquist formulas, and physical sources of noise.Practical Tools for Modern Problems
Along with these traditional topics, the book includes a chapter devoted to spread spectrum techniques. It also demonstrates the use of MATLAB® for solving complicated problems in a short amount of time while still building a sound knowledge of the underlying principles.A self-contained primer for solving real problems, Random Signals and Noise presents a complete set of tools and offers guidance on their effective application.

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Yes, you can access Random Signals and Noise by Shlomo Engelberg in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Electrical Engineering & Telecommunications. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Front Cover
  2. Biographical Information
  3. Contents
  4. List of Figures
  5. List of Tables
  6. Preface
  7. Chapter 1. Elementary Probability Theory
  8. Chapter 2. An Introduction to Stochastic Processes
  9. Chapter 3. The Weak Law of Large Numbers
  10. Chapter 4. The Central Limit Theorem
  11. Chapter 5. Extrema and the Method of Lagrange Multipliers
  12. Chapter 6. The Matched Filter for Stationary Noise
  13. Chapter 7. Fourier Series and Transforms
  14. Chapter 8. The Wiener-Khinchin Theorem and Applications
  15. Chapter 9. Spread Spectrum
  16. Chapter 10. More about the Autocorrelation and the PSD
  17. Chapter 11. Wiener Filters
  18. A: A Brief Overview of Linear Algebra
  19. Bibliography
  20. Index
  21. Back Cover