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Fourier Analysisâ"A Signal Processing Approach - D. Sundararajan

Fourier Analysisâ"A Signal Processing Approach

By: D. Sundararajan

Paperback | 1 February 2019

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Contents1 Signals 111.1 Basic Signals1.1.1 Unit-impulse Signal . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 111.1.2 Unit-step Signal . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131.1.3 Unit-ramp Signal . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141.1.4 Sinusoids and Complex Exponentials . . . . . . . . . . . . . . . . . . . . . . . 141.2 Classification of Signals . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 191.2.1 Continuous, Discrete, and Digital Signals . . . . . . . . . . . . . . . . . . . . 191.2.2 Periodic and Aperiodic Signals . . . . . . . . . . . . . . . . . . . . . . . . . . 191.2.3 Even- and Odd-symmetric Signals . . . . . . . . . . . . . . . . . . . . . . . . 201.2.4 Energy and Power Signals . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 221.2.5 Deterministic and Random Signals . . . . . . . . . . . . . . . . . . . . . . . . 241.2.6 Causal and Noncausal Signals . . . . . . . . . . . . . . . . . . . . . . . . . . . 241.3 Signal Operations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 241.3.1 Time Shifting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 241.3.2 Time Scaling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 251.4 Complex Numbers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 261.5 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 292 The Discrete Fourier Transform 332.1 The Exponential Function . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 332.2 The Complex Exponential Function . . . . . . . . . . . . . . . . . . . . . . . . . . . 342.2.1 Euler's Formula . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 342.2.2 Real Sinusoid in terms of Complex Exponentials . . . . . . . . . . . . . . . . 352.3 The DFT and the IDFT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 352.3.1 The DFT and the IDFT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 382.3.2 The Criterion of Approximation . . . . . . . . . . . . . . . . . . . . . . . . . 392.3.3 The Matrix form of the DFT and IDFT . . . . . . . . . . . . . . . . . . . . . 412.4 Applications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 462.4.1 Fourier Boundary Descriptor . . . . . . . . . . . . . . . . . . . . . . . . . . . 472.5 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 493 Properties of the DFT 533.1 Linearity . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 533.2 Periodicity . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 533.3 Circular Time Shifting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 543.4 Circular Frequency Shifting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 543.5 Circular Time-reversal . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 553.6 Duality . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 553.7 Transform of Complex Conjuagtes . . . . . . . . . . . . . . . . . . . . . . . . . . . . 563.8 Circular Convolution and Correlation . . . . . . . . . . . . . . . . . . . . . . . . . . 563.8.1 Circular convolution of Time-domain Sequences . . . . . . . . . . . . . . . . . 5673.8.2 Circular Convolution of Frequency-domain Sequences . .
Industry Reviews
"The Fourier analysis is mainly presented from a practical point of view, where the mathematical theory is very simplified. This book is mainly written for broad readership of graduate students and researchers in physics, computer science, and engineering with special interest in signal processing. ... Doubtless, this textbook will stimulate the practical education in the Fourier analysis and its applications in signal processing." (Manfred Tasche, zbMATH 1407.94002, 2019)

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