Hopping discrete cosine transform

Vitaly Kober; Jose A. Gonzalez-Fraga; Anastasia Kober

doi:10.1117/12.2677172

4 October 2023 Hopping discrete cosine transform

Vitaly Kober, Jose A. Gonzalez-Fraga, Anastasia Kober

Proceedings Volume 12674, Applications of Digital Image Processing XLVI; 126741K (2023) https://doi.org/10.1117/12.2677172
Event: SPIE Optical Engineering + Applications, 2023, San Diego, California, United States

Conference Poster

Abstract

The paper deals with the design of a fast algorithm for computing the hopping discrete cosine transform in equidistant signal windows using a recursive relationship between transform spectra. Discrete cosine transform is widely used in digital signal processing such as image coding, spectral analysis, feature extraction, and filtering. Short-time transform is suitable for adaptive processing and time-frequency analysis of quasi-stationary data. Hopping transform refers to a transform computed on the signal of a fixed-size window that slides over the signal with an integer hop step. Hopping discrete transform can be employed for time-frequency analysis and adaptive processing quasi-stationary data such as speech, biomedical, radar and communication signals. The performance of the algorithm with respect to computational costs and execution time is compared with that of conventional sliding and fast algorithms.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Vitaly Kober, Jose A. Gonzalez-Fraga, and Anastasia Kober "Hopping discrete cosine transform", Proc. SPIE 12674, Applications of Digital Image Processing XLVI, 126741K (4 October 2023); https://doi.org/10.1117/12.2677172

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