Discrete-Time Signal Processing

Oppenheim, A. V., & Schafer, R. W. (2009). Discrete-Time Signal Processing. Prentice Hall.

Type

Book

Intellectual base

Textbook

Year

2009

Link

https://www.pearson.com/en-us/subject-catalog/p/discrete-time-signal-processing/P200000003348

Cited from

engineering_design, mathematics

Cited by

7 citations across 7 artifacts.

Each citation links to the sentence it supports in the citing article.

Primes

• Aliasing
  • In audio signal processing it is canonical: a tone above half the sampling rate folds into the audible band — a 45 kHz component sampled at 44 kHz appears as a clean 1 kHz tone — which is why analog-to-digital converters place an anti-aliasing low-pass filter before the sampler.

    This sourceStandard reference for aliasing, frequency folding, the anti-aliasing filter, and the worked sinusoid-undersampling case (a high tone folding to a low one).

• Discretization-Induced Artifact
  • Signal processing: quantization noise and aliasing — a step-pattern noise floor from analog-to-digital conversion, and apparent frequency components that are aliasing products of the sampling grid rather than of the original signal.

Domain-specific

• Lag windowing
  • Fourier transformation produces a smoother spectrum whose bandwidth is determined by the lag window.
• Nonrecursive (FIR) Filter

  • This sourceStandard authority for LTI convolution, FIR/IIR systems, z transforms, structures, and linear phase.

• Phase response
  • The entry records a descriptive analytical identity; practical use requires the governing domain's evidence, standards, and safety obligations.
• Twiddle factor
  • The entry records a descriptive analytical identity; practical use requires the governing domain's evidence, standards, and safety obligations.

Mechanisms

• Finite Impulse Response Filter
  • Its failure mode is the price of a sharp, finite cutoff: truncating an ideal filter to a finite tap set produces ringing overshoot near sharp transitions, the Gibbs phenomenon.

    This sourceExplains that truncating an ideal infinite-duration response to a finite FIR design produces oscillatory overshoot near sharp cutoffs—the Gibbs phenomenon.

Verification

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Links previously used in the corpus

Before the registry existed this work was also linked 2 other ways.

• https://www.pearson.com/en-us/subject-catalog/p/discrete-time-signal-processing/P200000003226 ×2
• https://www.pearson.com/subject-catalog/p/discrete-time-signal-processing/P200000003226/9780137549771 ×1

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