Topic
Time–frequency analysis
About: Time–frequency analysis is a research topic. Over the lifetime, 5407 publications have been published within this topic receiving 104346 citations.
Papers published on a yearly basis
Papers
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TL;DR: In this paper, a conjugate-pair decomposition (CPD) method was proposed to identify nonlinear dynamical systems using a few recent data points sampled at a low-frequency for sliding-window point-by-point adaptive time-frequency analysis.
28 citations
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TL;DR: A novel method for the suppression of cross terms in the time-frequency domain using a fractional Fourier transform-based technique and the Wigner distributions of pure auto-terms are superimposed to yield a high readability representation.
Abstract: A novel method for the suppression of cross terms in the time-frequency domain is introduced. First, interference is identified using a fractional Fourier transform-based technique. Then, auto-terms are detected, synthesized, and subtracted from the original signal. The process is repeated until all signal components are extracted. Finally, the Wigner distributions of pure auto-terms are superimposed to yield a high readability representation
28 citations
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09 May 2005
TL;DR: This paper presents several implementations of digital channelised receivers on field-programmable gate array (FPGA) platforms for electronic warfare (EW) applications based on the fast Fourier transform (FFT), designed to maximise speed processing and throughput, and to optimise area.
Abstract: This paper presents several implementations of digital channelised receivers on field-programmable gate array (FPGA) platforms for electronic warfare (EW) applications. All implementations are based on the fast Fourier transform (FFT) but they are intended for different applications. We have studied in detail and implemented different parallel architectures for the FFT algorithm in order to maximise speed processing and throughput, and to optimise area. On the other hand, monobit implementations of the FFT have been carried out in order to get real time in broadband digital receivers. Finally, in order to improve the detection of non-stationary signals, time-frequency analysis based on the short time Fourier transform (STFT) has also been implemented.
28 citations
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TL;DR: In this paper, a new scheme based on the fractional Fourier transform (FrFT) in time frequency domain was proposed to mitigate noise in seismic data, where the residual noises after frequency filtering are with the same frequencies with the filtered seismic signals.
28 citations
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10 Jun 1996TL;DR: In this article, an application of Wavelet Transform, which is a newly developed time-frequency technique of signal processing, is demonstrated in analyzing compressor rotating stall signals, and it is concluded that wavelet transform has a great advantage in detecting rotating stall inceptions, which are usually very weak and embedded in relatively stronger noises.
Abstract: In this paper, an application of Wavelet Transform, which is a newly developed time-frequency technique of signal processing, is demonstrated in analyzing compressor rotating stall signals. In contrast to conventional signal processing methods, e.g. Fourier Transform, Wavelet Transform is very suitable for analyzing transient processes as rotating stall inception in compressors. In this study, some typical rotating stall signals are processed via Morlet’s wavelet. It is concluded that Wavelet Transform has a great advantage in detecting rotating stall inceptions, which are usually very weak and embedded in relatively stronger noises. In the diagrams resulted from the transform, every emergence of precursor as well as full stall signals of a certain frequency is illustrated versus time.Copyright © 1996 by ASME
28 citations