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DSP First 2nd Edition By James McClellan, Ronald Schafer, Mark Yoder

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Pages: 583
File size: 11.87 MB
Format: Digital PDF
Course: Education
Category: eBook[PDF]

About this ebook

The second edition of DSP First by James H. McClellan, Ronald W. Schafer, and Mark A. Yoder introduces fundamental digital signal processing concepts with a strong emphasis on mathematical intuition and MATLAB/LabVIEW implementation. [1, 2]

Compared to the original edition, the 2nd Edition expands significantly with dedicated coverage of continuous and discrete transformations, introducing three entirely new chapters (the Fourier Series, Discrete-Time Fourier Transform, and the Discrete Fourier Transform). [1]

Chapter-by-Chapter Core Topics

According to the official Georgia Tech DSP First resources, the text is structured into the following primary chapters and mathematical appendices:

Chapter 1: Introduction – Covers the basic mathematical representation of signals and systems, and how systems act as processing building blocks.
Chapter 2: Sinusoids – Reviews basic sine and cosine functions, tuning-fork frequency experiments, time-shift vs. phase delay, and the Phasor Addition Theorem.
Chapter 3: Spectrum Representation – Explores the frequency-domain perspective, complex exponentials, and analyzing a signal's constituent frequencies.
Chapter 4: Sampling and Aliasing – Explains continuous-to-discrete conversion, the Nyquist sampling rate, quantization, and fold-over effects (aliasing).
Chapter 5: FIR Filters – Introduces Finite Impulse Response filters, moving average systems, and time-domain convolution.
Chapter 6: Frequency Response of FIR Filters – Bridges time and frequency domains by looking at how FIR filters attenuate or pass specific steady-state sinusoidal frequencies.
Chapter 7: Discrete-Time Fourier Transform (DTFT) – Covers the transformation framework for analyzing discrete, non-periodic signals in the frequency domain.
Chapter 8: Discrete Fourier Transform (DFT) – Details the finite, discrete computation framework (including Fast Fourier Transform / FFT concepts) crucial for actual computational implementations.
Chapter 9: z-Transforms – Introduces the z-domain, poles and zeros, system functions, and stability analysis for discrete systems.
Chapter 10: IIR Filters – Explores Infinite Impulse Response filters, feedback systems, and recursive filter design structures. [1, 2, 3, 4, 5, 6]