Random Signal Analysis in Engineering Systems

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  • Author : John Komo
  • Publisher : Elsevier
  • Pages : 316 pages
  • ISBN : 0323156274
  • Rating : /5 from reviews
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Download or Read online Random Signal Analysis in Engineering Systems full in PDF, ePub and kindle. this book written by John Komo and published by Elsevier which was released on 01 January 1987 with total page 316 pages. We cannot guarantee that Random Signal Analysis in Engineering Systems book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. Random Signal Analysis in Engineering Systems

Random Signals Estimation and Identification

Random Signals Estimation and Identification
  • Author : Nirode Mohanty
  • Publisher : Springer Science & Business Media
  • Release : 06 December 2012
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The techniques used for the extraction of information from received or ob served signals are applicable in many diverse areas such as radar, sonar, communications, geophysics, remote sensing, acoustics, meteorology, med ical imaging systems, and electronics warfare. The received signal is usually disturbed by thermal, electrical, atmospheric, channel, or intentional inter ferences. The received signal cannot be predicted deterministically, so that statistical methods are needed to describe the signal. In general, therefore, any received signal is analyzed as a random

Random Signals and Processes Primer with MATLAB

Random Signals and Processes Primer with MATLAB
  • Author : Gordana Jovanovic Dolecek
  • Publisher : Springer Science & Business Media
  • Release : 21 August 2012
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This book provides anyone needing a primer on random signals and processes with a highly accessible introduction to these topics. It assumes a minimal amount of mathematical background and focuses on concepts, related terms and interesting applications to a variety of fields. All of this is motivated by numerous examples implemented with MATLAB, as well as a variety of exercises at the end of each chapter.

Random Signal Analysis

Random Signal Analysis
  • Author : Jie Yang,Congfeng Liu
  • Publisher : Walter de Gruyter GmbH & Co KG
  • Release : 10 September 2018
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A fundamental introduction to the delopment of random signal processing with an emphasis on analysis. Linear transformation, nonlinear transformation, spectral analysis of stationary and narrow band random process are discussed in detail. With abundant exercises, this book is an essential reference for graduate students, scientists and practitioners in electronical engineering and signal processing.

Random Signal Analysis

Random Signal Analysis
  • Author : Ali Abedi
  • Publisher : Unknown
  • Release : 16 December 2012
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This book introduces the fundamental concepts of random signal analysis based on probability theory and random processes. It presents the mathematical and engineering tools to analyze and interpret random events occurring in natural phenomena, games, sciences, and engineering. Specifically, practical examples from electrical and computer systems are studied in depth. This book is designed to motivate and inspire students to learn concepts of random signal analysis and pursue follow up courses in communications and signal processing areas.

Pseudo Random Signal Processing

Pseudo Random Signal Processing
  • Author : Hans-Jurgen Zepernick,Adolf Finger
  • Publisher : John Wiley & Sons
  • Release : 17 July 2013
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In recent years, pseudo random signal processing has proven to be a critical enabler of modern communication, information, security and measurement systems. The signal’s pseudo random, noise-like properties make it vitally important as a tool for protecting against interference, alleviating multipath propagation and allowing the potential of sharing bandwidth with other users. Taking a practical approach to the topic, this text provides a comprehensive and systematic guide to understanding and using pseudo random signals. Covering theoretical principles, design methodologies

A First Course in Statistics for Signal Analysis

A First Course in Statistics for Signal Analysis
  • Author : Wojbor A. Woyczyński
  • Publisher : Springer Nature
  • Release : 04 October 2019
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This self-contained and user-friendly textbook is designed for a first, one-semester course in statistical signal analysis for a broad audience of students in engineering and the physical sciences. The emphasis throughout is on fundamental concepts and relationships in the statistical theory of stationary random signals, which are explained in a concise, yet rigorous presentation. With abundant practice exercises and thorough explanations, A First Course in Statistics for Signal Analysis is an excellent tool for both teaching students and training laboratory

Random Signals

Random Signals
  • Author : K. Sam Shanmugan,Arthur M. Breipohl
  • Publisher : John Wiley & Sons Incorporated
  • Release : 20 May 1988
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This treatise develops the theory of random processes and its application to the study of systems and the analysis of random data. It covers the fundamentals of random process models, the applications of probabilistic models and statistical estimation.

Digital Signal Processing

Digital Signal Processing
  • Author : Zahir M. Hussain,Amin Z. Sadik,Peter O’Shea
  • Publisher : Springer Science & Business Media
  • Release : 17 February 2011
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In three parts, this book contributes to the advancement of engineering education and that serves as a general reference on digital signal processing. Part I presents the basics of analog and digital signals and systems in the time and frequency domain. It covers the core topics: convolution, transforms, filters, and random signal analysis. It also treats important applications including signal detection in noise, radar range estimation for airborne targets, binary communication systems, channel estimation, banking and financial applications, and audio

Random Processes with Applications to Circuits and Communications

Random Processes with Applications to Circuits and Communications
  • Author : Bernard C. Levy
  • Publisher : Springer Nature
  • Release : 14 September 2019
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This textbook is based on 20 years of teaching a graduate-level course in random processes to a constituency extending beyond signal processing, communications, control, and networking, and including in particular circuits, RF and optics graduate students. In order to accommodate today’s circuits students’ needs to understand noise modeling, while covering classical material on Brownian motion, Poisson processes, and power spectral densities, the author has inserted discussions of thermal noise, shot noise, quantization noise and oscillator phase noise. At the same

Introduction to Applied Statistical Signal Analysis

Introduction to Applied Statistical Signal Analysis
  • Author : Richard Shiavi
  • Publisher : Unknown
  • Release : 16 June 1999
GET THIS BOOK Introduction to Applied Statistical Signal Analysis

This book provides a balanced perspective of the concept, mathematical bases, requirements for estimation, and detailed quantitative examples of the implementation of the techniques for classical signal analysis. The presentation integrates theory and implementation, practical examples, homework exercises which range from pencil and paper format to computer-based format problems, to instructional notebooks. The notebooks provide a mode of learning that is interactive and suited for self-pacing and independent learning. * "real-world" applications * real data available for exercises and projects * notebooks for

Random Processes in Linear Systems

Random Processes in Linear Systems
  • Author : Michael B. Pursley
  • Publisher : Unknown
  • Release : 16 June 2021
GET THIS BOOK Random Processes in Linear Systems

This book provides an introduction to random processes, and includes content in digital communications and signal processing. Chapter topics cover Probability and Random Variables—Review and Notation, an introduction to Random Processes, Linear Filtering of Random Processes, and Frequency-Domain Analysis of Random Processes in Linear Systems. For practicing engineers.