An Introduction To Signal Processing For Non Engineers
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An Introduction to Signal Processing for Non-engineers
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
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.
Introduction to Digital Signal Processing
Introduction to Digital Signal Processing covers the basic theory and practice of digital signal processing (DSP) at an introductory level. As with all volumes in the Essential Electronics Series, this book retains the unique formula of minimal mathematics and straightforward explanations. The author has included examples throughout of the standard software design package, MATLAB and screen dumps are used widely throughout to illustrate the text. Ideal for students on degree and diploma level courses in electric and electronic engineering, 'Introduction to Digital Signal Processing' contains numerous worked examples throughout as well as further problems with solutions to enable students to work both independently and in conjunction with their course. - Assumes only minimum knowledge of mathematics and electronics - Concise and written in a straightforward and accessible style - Packed with worked examples, exercises and self-assesment questions