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AuthorHlawatsch, F.
AuthorMatz, G.
AuthorBoashash, B.
AuthorOuelha, S.
AuthorStanković, S.
AuthorHassanpour, H.
Available date2021-09-08T06:49:43Z
Publication Date2016
Publication NameTime-Frequency Signal Analysis and Processing: A Comprehensive Reference
ResourceScopus
URIhttp://dx.doi.org/10.1016/B978-0-12-398499-9.00011-X
URIhttp://hdl.handle.net/10576/22893
AbstractThis chapter presents methods and techniques to design time-varying linear systems such as filters with precise time-frequency (t,f) specifications; this capability can then allow one to model and predict accurately the effects of linear systems on nonstationary signals in applications such as signal cleansing and enhancement. This topic is covered in six sections. The design of time-varying filters is required in applications where it is desired to separate, suppress, or reduce undesirable nonstationary signal components. This can be performed with piece-wise harmonic decomposition methods such as the short-time Fourier transform (STFT) and the Gabor transform (Section 11.1). In particular, the use of the Gabor expansion for time-varying filtering is illustrated on an application that involves monitoring machine vibrations; in addition, an alternative method, the inverse STFT is applied to (t,f) filtering with an illustration on a speech signal (Section 11.2). Another illustration of the procedure for designing a time-varying filter is provided in the context of an application involving handsfree telephone speech signals (Section 11.3). Another important application of time-varying filtering procedure, namely signal enhancement, is described using an iterative algorithm based on time-frequency peak filtering (Section 11.4). Then, a method for subspace noise filtering using a time-frequency distribution is described (Section 11.5); and finally a comparison of denoising algorithms for speech enhancement completes the chapter (Section 11.6).
Languageen
PublisherElsevier Inc.
SubjectTime frequency
Time-varying filtering
Gabor transform
Signal enhancement
Noise filtering
Instantaneous frequency
Linear time-frequency filtering
Time-frequency peak-filtering
TitleTime-frequency synthesis and filtering
TypeBook chapter
Pagination637-691
dc.accessType Abstract Only


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