An Introduction to Signal Processing for Non-engineers

An Introduction to Signal Processing for Non-engineers

Author: Afshin Samani

Publisher: CRC Press

Published: 2019

Total Pages: 0

ISBN-13: 9780429263330

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Cover -- Half Title -- Title -- Copyright -- Contents -- Preface -- Acknowledgments -- Author -- Chapter 1 Introduction -- 1.1 Why Do We Need to Introduce the Theories of Signal Processing to Non-Engineers? -- 1.2 What Is a Signal? -- 1.3 What Is Noise? -- Notes -- References -- Chapter 2 The Measurement Pipeline -- 2.1 Sensors -- 2.2 Amplification -- 2.2.1 Common Mode Rejection Ratio -- 2.2.2 How Much Can the Signal Be Amplified? -- 2.2.3 Input Impedance -- 2.3 Analog-to-Digital Conversion -- References -- Chapter 3 Time and Frequency Representation of Continuous Time Signals -- 3.1 Periodic Signals -- 3.2 Fourier Series -- 3.3 Fourier Transform -- 3.4 Duality -- 3.5 Signal Energy -- Note -- References -- Chapter 4 Sampling of Continuous Time Signals -- 4.1 Discrete Time Signals -- 4.2 Sampling in the Frequency Domain -- 4.3 Nyquist Criterion -- 4.4 Practical Considerations -- References -- Chapter 5 Discrete Fourier Transform -- 5.1 Frequency Resolution -- 5.2 Fast Fourier Transform -- 5.3 Aliasing in the Time Domain -- Reference -- Chapter 6 Power Spectrum -- 6.1 Stationarity -- 6.2 Auto-Correlation Function -- 6.3 Spectral Estimation -- 6.3.1 Non-Parametric Methods -- 6.3.2 Parametric Methods -- 6.4 Signal Characteristics Based on the Power Spectrum -- References -- Chapter 7 Systems and Their Properties -- 7.1 System Properties -- 7.1.1 Linearity -- 7.1.2 Time Invariance -- 7.1.3 Causality -- 7.1.4 Stability -- 7.2 Linear Time-Invariant Systems -- 7.3 The System Response and Differential and Difference Equations -- 7.4 Transfer Function and Differential and Difference Equations -- 7.5 The System Response in the Frequency Domain -- 7.6 Stability and the Transfer Function -- 7.7 The Power Spectrum of System Input and Output -- 7.8 The Transfer Function and Parametric Estimation of the Power Spectrum -- Note -- References -- Chapter 8 Filters.


An Introduction to Signal Processing for Non-Engineers

An Introduction to Signal Processing for Non-Engineers

Author: Afshin Samani

Publisher: CRC Press

Published: 2019-10-10

Total Pages: 156

ISBN-13: 0429558384

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This book introduces the basic concepts of signal processing for scientists and students with no engineering background. The book presents the concepts with minimum use of mathematical formulations and more emphasis on visual illustrations. The idea is to present an intuitive approach to understanding the basics of signal processing and exemplify some practical applications of the concepts by which the readers achieve basic knowledge and skills in signal processing. Most of illustrations in the book have been created by computer programming in MATLAB®; thus, the reader will learn the basics of using computers in signal processing applications.


An Introduction to Statistical Signal Processing

An Introduction to Statistical Signal Processing

Author: Robert M. Gray

Publisher: Cambridge University Press

Published: 2004-12-02

Total Pages: 479

ISBN-13: 1139456288

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This book describes the essential tools and techniques of statistical signal processing. At every stage theoretical ideas are linked to specific applications in communications and signal processing using a range of carefully chosen examples. The book begins with a development of basic probability, random objects, expectation, and second order moment theory followed by a wide variety of examples of the most popular random process models and their basic uses and properties. Specific applications to the analysis of random signals and systems for communicating, estimating, detecting, modulating, and other processing of signals are interspersed throughout the book. Hundreds of homework problems are included and the book is ideal for graduate students of electrical engineering and applied mathematics. It is also a useful reference for researchers in signal processing and communications.


The Essential Guide to Digital Signal Processing

The Essential Guide to Digital Signal Processing

Author: Richard G. Lyons

Publisher: Pearson Education

Published: 2014

Total Pages: 206

ISBN-13: 0133804429

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Using everyday examples and simple diagrams, two leading DSP consultants and instructors completely demystify signal processing with this text. Students will discover what digital signals are, how they're generated, and how they're changing life. Students will learn all they need to know about digital signal collection, filtering, analysis, and more, and how DSP works in today's most exciting devices and applications.


Signal Processing for Neuroscientists

Signal Processing for Neuroscientists

Author: Wim van Drongelen

Publisher: Elsevier

Published: 2006-12-18

Total Pages: 319

ISBN-13: 008046775X

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Signal Processing for Neuroscientists introduces analysis techniques primarily aimed at neuroscientists and biomedical engineering students with a reasonable but modest background in mathematics, physics, and computer programming. The focus of this text is on what can be considered the 'golden trio' in the signal processing field: averaging, Fourier analysis, and filtering. Techniques such as convolution, correlation, coherence, and wavelet analysis are considered in the context of time and frequency domain analysis. The whole spectrum of signal analysis is covered, ranging from data acquisition to data processing; and from the mathematical background of the analysis to the practical application of processing algorithms. Overall, the approach to the mathematics is informal with a focus on basic understanding of the methods and their interrelationships rather than detailed proofs or derivations. One of the principle goals is to provide the reader with the background required to understand the principles of commercially available analyses software, and to allow him/her to construct his/her own analysis tools in an environment such as MATLAB®. - Multiple color illustrations are integrated in the text - Includes an introduction to biomedical signals, noise characteristics, and recording techniques - Basics and background for more advanced topics can be found in extensive notes and appendices - A Companion Website hosts the MATLAB scripts and several data files: http://www.elsevierdirect.com/companion.jsp?ISBN=9780123708670


Digital Signal Processing: A Practical Guide for Engineers and Scientists

Digital Signal Processing: A Practical Guide for Engineers and Scientists

Author: Steven Smith

Publisher: Elsevier

Published: 2013-10-22

Total Pages: 666

ISBN-13: 0080477321

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In addition to its thorough coverage of DSP design and programming techniques, Smith also covers the operation and usage of DSP chips. He uses Analog Devices' popular DSP chip family as design examples. - Covers all major DSP topics - Full of insider information and shortcuts - Basic techniques and algorithms explained without complex numbers


Digital Signal Processing

Digital Signal Processing

Author: Li Tan

Publisher: Academic Press

Published: 2013-01-21

Total Pages: 893

ISBN-13: 0124159826

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Digital Signal Processing, Second Edition enables electrical engineers and technicians in the fields of biomedical, computer, and electronics engineering to master the essential fundamentals of DSP principles and practice. Many instructive worked examples are used to illustrate the material, and the use of mathematics is minimized for easier grasp of concepts. As such, this title is also useful to undergraduates in electrical engineering, and as a reference for science students and practicing engineers. The book goes beyond DSP theory, to show implementation of algorithms in hardware and software. Additional topics covered include adaptive filtering with noise reduction and echo cancellations, speech compression, signal sampling, digital filter realizations, filter design, multimedia applications, over-sampling, etc. More advanced topics are also covered, such as adaptive filters, speech compression such as PCM, u-law, ADPCM, and multi-rate DSP and over-sampling ADC. New to this edition: - MATLAB projects dealing with practical applications added throughout the book - New chapter (chapter 13) covering sub-band coding and wavelet transforms, methods that have become popular in the DSP field - New applications included in many chapters, including applications of DFT to seismic signals, electrocardiography data, and vibration signals - All real-time C programs revised for the TMS320C6713 DSK - Covers DSP principles with emphasis on communications and control applications - Chapter objectives, worked examples, and end-of-chapter exercises aid the reader in grasping key concepts and solving related problems - Website with MATLAB programs for simulation and C programs for real-time DSP


An Introduction to Signal Detection and Estimation

An Introduction to Signal Detection and Estimation

Author: H. Vincent Poor

Publisher: Springer Science & Business Media

Published: 2013-06-29

Total Pages: 558

ISBN-13: 1475738633

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The purpose of this book is to introduce the reader to the basic theory of signal detection and estimation. It is assumed that the reader has a working knowledge of applied probabil ity and random processes such as that taught in a typical first-semester graduate engineering course on these subjects. This material is covered, for example, in the book by Wong (1983) in this series. More advanced concepts in these areas are introduced where needed, primarily in Chapters VI and VII, where continuous-time problems are treated. This book is adapted from a one-semester, second-tier graduate course taught at the University of Illinois. However, this material can also be used for a shorter or first-tier course by restricting coverage to Chapters I through V, which for the most part can be read with a background of only the basics of applied probability, including random vectors and conditional expectations. Sufficient background for the latter option is given for exam pIe in the book by Thomas (1986), also in this series.


Linear Operator Theory in Engineering and Science

Linear Operator Theory in Engineering and Science

Author: Arch W. Naylor

Publisher: Springer Science & Business Media

Published: 1982

Total Pages: 648

ISBN-13: 9780387950013

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This book is a unique introduction to the theory of linear operators on Hilbert space. The authors' goal is to present the basic facts of functional analysis in a form suitable for engineers, scientists, and applied mathematicians. Although the Definition-Theorem-Proof format of mathematics is used, careful attention is given to motivation of the material covered and many illustrative examples are presented. First published in 1971, Linear Operator in Engineering and Sciences has since proved to be a popular and very useful textbook.


Introduction to Signal Processing

Introduction to Signal Processing

Author: Sophocles J. Orfanidis

Publisher:

Published: 1996

Total Pages: 824

ISBN-13:

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This book differs from the classical DSP book model pioneered by O/S. Includes chapters on DFT, Z-Transform and Filter Design. The book starts out with what one reviewer calls "fun topics", and DSP applications".