Comparison of the Gabor and short-time Fourier transforms for signal detection and feature extraction in noisy environments

Louis Auslander; C. Buffalano; Richard S. Orr; Richard Tolimieri

doi:10.1117/12.23480

1 November 1990 Comparison of the Gabor and short-time Fourier transforms for signal detection and feature extraction in noisy environments

Louis Auslander, C. Buffalano, Richard S. Orr, Richard Tolimieri

Author Affiliations +

Proceedings Volume 1348, Advanced Signal Processing Algorithms, Architectures, and Implementations; (1990) https://doi.org/10.1117/12.23480
Event: 34th Annual International Technical Symposium on Optical and Optoelectronic Applied Science and Engineering, 1990, San Diego, CA, United States

Abstract

Effective signal detection and feature extraction in noisy environments generally depend on exploiting some knowledge of the signal. The short-time Fourier transform and the Gabor transform are two methods that exploit signal envelope information. This paper compares the two transforms and makes the case that the Gabor representation can often be more compact, and may require substantially less computation and storage in some applications. There is a sense in which the Gabor achieves a preferential trade of SNR for resolution, and because of this, one can also expect better signal recognition and feature reconstructions from the Gabor transform in the presence of noise.

Citation Download Citation

Louis Auslander, C. Buffalano, Richard S. Orr, and Richard Tolimieri "Comparison of the Gabor and short-time Fourier transforms for signal detection and feature extraction in noisy environments", Proc. SPIE 1348, Advanced Signal Processing Algorithms, Architectures, and Implementations, (1 November 1990); https://doi.org/10.1117/12.23480

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