Last edited by Baramar
Tuesday, October 6, 2020 | History

6 edition of Discrete random signal processing and filtering primer with MATLAB found in the catalog.

Discrete random signal processing and filtering primer with MATLAB

Alexander D. Poularikas

Discrete random signal processing and filtering primer with MATLAB

by Alexander D. Poularikas

  • 127 Want to read
  • 3 Currently reading

Published by Taylor & Francis in Boca Raton, FL .
Written in English

    Subjects:
  • MATLAB,
  • Electric filters,
  • Signal processing

  • Edition Notes

    Includes bibliographical references and index.

    StatementAlexander D. Poularikas.
    Classifications
    LC ClassificationsTK7872.F5 P682 2008
    The Physical Object
    Paginationp. cm.
    ID Numbers
    Open LibraryOL16960381M
    ISBN 109781420089332
    LC Control Number2008029481

    The filter design is an FIR lowpass filter with order equal to 20 and a cutoff frequency of Hz. Use a Kaiser window with length one sample greater than the filter order and β = kaiser for details on the Kaiser window.. Use fir1 to design the 1 requires normalized frequencies in the interval [0,1], where 1 corresponds to π rad/sample.. To use fir1, you must convert all. Adaptive Filtering Primer with MATLAB by Alexander D. Poularikas, Zayed M. Ramadan MATLAB Books Because of the wide use of adaptive filtering in digital signal processing and, because most of the modern electronic devices include som.

    You will be creating a random band-pass signal. What you are supposed to see for such a signal if you plot the time sequence, is a varying sinusoid of frequency $ \pi$ (midpoint of the pass band). Amplitude and phase will vary randomly, depending on the signal bandwidth. In your case, $ \pi$ bandwidth is quite large compared to the carrier frequency of $ \pi$, so the result should. Signals and Systems Primer with MATLAB® equally emphasizes the fundamentals of both analog and digital signals and systems. To ensure insight into the basic concepts and methods, the text presents a variety of examples that illustrate a wide range of applications, from microelectromechanical to worldwide communication systems. It also provides MATLAB functions and procedures for practice and 4/5(1).

    Adaptive Filtering Primer with MATLAB, Taylor & Francis, Boca Raton, FL, Signals and Systems Primer with MATLAB, Taylor & Francis, Boca Raton, FL, Discrete Random Signal Processing and Filtering Primer with MATLAB, Taylor & Francis, . Digital Signal Processing with Examples in MATLAB Signals and Systems Primer with MATLAB® (deterministic and random), etc. The above discussion points to the fact that electrical engineering students must possess a wide variety of knowledge in many fields. The engineers.


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Discrete random signal processing and filtering primer with MATLAB by Alexander D. Poularikas Download PDF EPUB FB2

Written for practicing engineers seeking to strengthen their practical grasp of random signal processing, Discrete Random Signal Processing and Filtering Primer with MATLAB provides the opportunity to doubly enhance their by: 3.

Written for practicing engineers seeking to strengthen their practical grasp of random signal processing, Discrete Random Signal Processing and Filtering Primer with MATLAB provides the opportunity to doubly enhance their skills.5/5(1). Written for practicing engineers seeking to strengthen their practical grasp of random signal processing, Discrete Random Signal Processing and Filtering Primer with MATLAB provides the opportunity to enhance these skills.

The author, a leading expert in the field of electrical and computer engineering, offers a solid review of recent developments in discrete signal processing.

The book also details the latest progress in the revolutionary MATLAB language. A Practical Self-Tutorial That Transcends Theory The author introduces an incremental discussion of signal processing and filtering, and presents several new methods that can be used for a more dynamic analysis of random digital signals with both linear and non-linear filtering.

About Book: Engineers in all fields will appreciate a practical guide that combines several new effective MATLAB® problem-solving approaches and the very latest in discrete random signal processing and us Useful Examples, Problems, and Solutions – An Extensive and Powerful Review Written for practicing engineers seeking to strengthen their practical grasp of random signal.

With applications across a wide range of areas, including radar, communications, control, medical instrumentation, and seismology, Adaptive Filtering Primer with MATLAB® is an ideal companion for quick reference and a perfect, concise introduction to the by: AND APPLIED SIGNAL PROCESSING SERIES DISCRETE RANDOM SIGNAL PROCESSING and FILTERING PRIMER with MATLAB® Alexander D.

Poularikas CRC Press Taylor &. Francis Group Boca Raton London New York CRC Press is an imprint of the Taylor & Francis Group, an informa business.

Designed for a three-hour semester course, Digital Signal Processing:A Primer with MATLAB® is intended as a textbook for a senior-level undergraduate student in electrical and computer engineering. The prerequisites for a course based on this book are knowledge of standard mathematics, including calculus and complex numbers.

Written for graduate students and practicing engineers, Adaptive Filtering Primer with MATLAB presents an introduction to optimum filtering and linear adaptive filters with finite duration response. Topics covered include discrete-time signal processing, Wiener filters, steepest-descent method, and the least mean-square algorithm.

Adaptive Filtering Primer with MATLAB® clearly explains the fundamentals of adaptive filtering supported by numerous examples and computer simulations. The authors introduce discrete-time signal processing, random variables and stochastic processes, the Wiener filter, properties of the error surface, the steepest descent method, and the least mean square (LMS) Cited by: 1st Edition Published on Febru by CRC Press Because of the wide use of adaptive filtering in digital signal processing and, because most of the mode Adaptive Filtering Primer with MATLAB - 1st Edition - Alexander D.

Discrete Random Signal Processing and Filtering Primer with MATLAB (Electrical Engineering & Applied Signal Processing Series Book 23) by Alexander D. Poularikas Format: Kindle Edition Change5/5. In this book, we have selected the field of random discrete signal processing.

The field of random signal processing is important in diverse fields such as communications, control, radar, sonar, seismology, and bioengineering. The aim of this book is to provide an introduction to the area of discrete random signal processing and filtering of.

Method. Description. addstage. Adds a stage to a cascade or parallel object, where a stage is a separate, modular filter. Refer to e and el. block. block(hd) creates a block of the dfilt object. The block method can specify these properties and values: 'Destination' indicates where to place the block.'Current' places the block in the current Simulink ® model.

$\begingroup$ So you want to filter a fetal ECG from the mother's ECG and the fetal ECG is at a high frequency. I'd transfer the signal to the frequency domain (FFT) using a window filter to get the frequency in different time frames, then look at the resulting frequencies over the different time windows to tell at what frequency to filter.

Book Description. Signals and Systems Primer with MATLAB® equally emphasizes the fundamentals of both analog and digital signals and systems. To ensure insight into the basic concepts and methods, the text presents a variety of examples that illustrate a wide range of applications, from microelectromechanical to worldwide communication systems.

Digital Signal Processing:A Primer with MATLAB ® provides excellent coverage of discrete-time signals and systems. At the beginning of each chapter, an abstract states the chapter objectives. All principles are also presented in a lucid, logical, step-by-step approach.

Get this from a library. Discrete random signal processing and filtering primer with MATLAB. [Alexander D Poularikas]. Discrete random signal processing and filtering primer with MATLAB.

[Alexander D Poularikas] -- Engineers in all fields will appreciate a practical guide that combines several new effective MATLAB® problem-solving approaches and the very latest in discrete random signal processing and.

Signals and Systems Primer with MATLAB (R) equally emphasizes the fundamentals of both analog and digital signals and systems.

To ensure insight into the basic concepts and methods, the text presents a variety of examples that illustrate a wide range of applications, from microelectromechanical to worldwide communication systems.5/5(1). Signals and Systems Primer with MATLAB® equally emphasizes the fundamentals of both analog and digital signals and systems.

To ensure insight into the basic concepts and methods, the text presents a variety of examples that illustrate a wide range of applications, from microelectromechanical to worldwide communication systems.Numerous Useful Examples, Problems, and Solutions – An Extensive and Powerful Review Written for practicing engineers seeking to strengthen their practical grasp of random signal processing, Discrete Random Signal Processing and Filtering Primer with MATLAB provides the opportunity to doubly enhance their skills.

Digital Signal Processing:A Primer with MATLAB ® provides excellent coverage of discrete-time signals and systems. At the beginning of each chapter, an abstract states the chapter objectives. All principles are also presented in a lucid, logical, step-by-step :