Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 591

The DOI matches its Crossref record.

Discrete-time signal processing

Poularikas, Alexander D., Ramadan, Zayed M.·2017·Adaptive Filtering Primer With Matlab®

Abstract

Discrete-time signals are seldom found in nature. Therefore, in almost all cases, the authors will be dealing with the digitization of continuous signals. This process will produce a sequence {x(nT)} from a continuous signal x(t) that is sampled at equal time distance T. Any non-periodic discrete-time signal x(t) with finite energy has a discrete-time Fourier transform, which is found by an approximation of the Fourier transform. The z-transform of a sequence is a transformation of a discrete-time function from its time domain to its frequency domain. It is also a powerful tool to study linear time-invariant discrete systems. A discrete time-invariant system is a physical device or an algorithm that transforms an input signal into another one, called the output signal.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1201/9781315221946-2

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 591

Metadata

Authors
Poularikas, A. D., & Ramadan, Z. M.
Venue
Adaptive Filtering Primer With Matlab®
Publisher
CRC Press
Published
2017-12-19
Pages
1-45
OpenAlex
W2951920181
Cited by
591
References
0
FWCI
83.93
Type
book chapter
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Discrete-time signal processing. https://app.cochat.ai/papers/10.1201/9781315221946-2
The paper
Poularikas, A. D., & Ramadan, Z. M. (2017). Discrete-time signal processing. Adaptive Filtering Primer With Matlab®. https://doi.org/10.1201/9781315221946-2

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.