Engineering Signal Analysis.

Format:

Book

Author/Creator:

Tiberius, Christian, author.

Mulder, Max, author.

Language:

English

Subjects (All):

Engineering and Technology--Textbooks.

Engineering and Technology.

Physical Description:

1 online resource

Place of Publication:

[Place of publication not identified] TU Delft Open [2026]

Language Note:

In English.

Summary:

Engineering Signal Analysis - Theory, is an introductory textbook on the analysis of signals in time and frequency. It takes an engineer's perspective and discusses how to characterize, analyze and operate on signals. The basic theoretical concepts, Fourier series and transform, are explained in continuous time. It then introduces discrete-time signals, addressing how sampling and finite signal duration affect spectral analysis. It discusses the discrete Fourier transform and its use in spectral estimation. The book concludes with an introduction to linear systems and signal filtering.

Contents:

Preface

Part I: Introduction

Chapter 1: Introduction

Chapter 2: Signal Preliminaries

Part II: Continuous Time

Chapter 3: Real Fourier Series

Chapter 4: Complex Exponential Fourier Series

Chapter 5: Fourier Transform

Chapter 6: Fourier Transform Theorems

Chapter 7: Convolution

Chapter 8: Finite Signal Duration, Leakage And Windowing

Part III: Discrete Time

Chapter 9: Sampling

Chapter 10: Signal Reconstruction

Chapter 11: Discrete-Time Fourier Transform

Chapter 12: Discrete Fourier Transform

Part IV: Spectral Estimation

Chapter 13: Energy And Power Spectral Density

Chapter 14: Spectral Estimation

Chapter 15: Spectrogram

Part V: Linear Systems

Chapter 16: Linear Time-Invariant Systems

Chapter 17: Measuring Signals

Chapter 18: Filters

Appendices

Appendix A: Common Mathematical Formulas

Appendix B: Elementary Functions

Appendix C: Complex Algebra

Appendix D: Quantization

Appendix E: Fourier Transform Pairs

Appendix F: Discrete Convolution

Appendix G: DTFT Addendum

Appendix H: DFT Addendum

Appendix I: Spectral Analysis In Practice: Full Procedure

Appendix J: Confidence Interval Of Periodogram

Appendix K: Correlation

Appendix L: White Noise

Appendix M: Solving First-Order Differential Equation - Example

Bibliography

Notes:

Description based on online resource