
Signals, Systems and Digital Signal Processing
Theory and Problems for Feedback and Control SystemsBy Sujin BaekLength13h 17m
About this audiobook
A unified, problem-solving guide that connects continuous and discrete signal processing with feedback and control systems, featuring fully solved problems and consistent notation.
Audiobook details
GenreTechnology, Science and Nature
Length13 hrs 17 mins
Narrated byListen with 1,000+ voices
FormateBook with Audio
Publish dateSep 27, 2026
LanguageEnglish
Table of contents
1Foreword
2Preface
3About This Book
4Chapter 1: Signals and Their Classification
51.1 Signals, Systems and the Language of This Book
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61.2 Continuous-Time and Discrete-Time Signals
71.3 Periodicity, Even and Odd Symmetry
81.4 Singularity Functions: Impulse, Step and Ramp
91.5 Time Shifting, Scaling and Reflection
101.6 Energy, Power and Average Value
11Chapter 2: Linear Time-Invariant Systems
122.1 System Properties: Linearity, Time Invariance, Memory, Causality, Stability
132.2 The Impulse Response and the Convolution Integral
142.3 Graphical Convolution and the Flip-and-Slide Method
152.4 The Convolution Sum
162.5 System Interconnection and Step Response
17Chapter 3: Differential and Difference Equations
183.1 Continuous-Time Differential Equations and the Natural Response
193.2 Particular Solutions and the Total Response
203.3 Zero-Input and Zero-State Decomposition
213.4 Difference Equations and Their Solution
223.5 Stability from Root Location
23Chapter 4: Fourier Series
244.1 Trigonometric and Exponential Forms
254.2 Symmetry Properties and Coefficient Shortcuts
264.3 Amplitude and Phase Spectra, and Parseval’s Relation
274.4 The Gibbs Phenomenon and Convergence
284.5 Steady-State Response to Periodic Inputs
29Chapter 5: The Fourier Transform
305.1 Definition, Convergence and Standard Transforms
315.2 Properties: Linearity, Shifting, Scaling, Duality, Modulation
325.3 Convolution and Parseval in the Frequency Domain
335.4 Frequency Response, Magnitude and Phase
345.5 Ideal and Practical Filters, and Amplitude Modulation
35Chapter 6: The Laplace Transform
366.1 Definition, Region of Convergence and Standard Pairs
376.2 Properties and the Initial and Final Value Theorems
386.3 Inversion by Partial Fractions
396.4 Transfer Functions, Poles and Zeros
406.5 Circuit Analysis with the Laplace Transform
41Chapter 7: Sampling and Reconstruction
427.1 The Sampling Theorem and Spectral Replication
437.2 Aliasing and Folding
447.3 Reconstruction: Ideal Interpolation and the Zero-Order Hold
457.4 Quantisation, Quantisation Noise and Converter Budgets
46Chapter 8: The z-Transform
478.1 Definition, Region of Convergence and Standard Pairs
488.2 Properties and the System Function
498.3 Inversion by Partial Fractions, Long Division and Residues
508.4 Stability, Causality and Pole Location