Z
Zhifeng Zhang
Researcher at New York University
Publications - 5
Citations - 10069
Zhifeng Zhang is an academic researcher from New York University. The author has contributed to research in topics: Time–frequency analysis & Matching pursuit. The author has an hindex of 4, co-authored 5 publications receiving 9505 citations.
Papers
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Journal ArticleDOI
Matching pursuits with time-frequency dictionaries
Stéphane Mallat,Zhifeng Zhang +1 more
TL;DR: The authors introduce an algorithm, called matching pursuit, that decomposes any signal into a linear expansion of waveforms that are selected from a redundant dictionary of functions, chosen in order to best match the signal structures.
Journal ArticleDOI
Adaptive time-frequency decompositions
TL;DR: An algorithm is derived that isolates the coherent structures of a signal and describes an application to pattern extraction from noisy signals, using a greedy algorithm called a matching pursuit, which computes a suboptimal expansion.
Journal ArticleDOI
Adaptive covariance estimation of locally stationary processes
TL;DR: In this paper, the covariance operator of a locally stationary process has approximate eigenvectors that are local cosine functions, and an adaptive covariance estimation is calculated by searching first for a "best" locally cosine basis which approximates the covariances by a band or a diagonal matrix.
Proceedings ArticleDOI
Adaptive time-frequency decompositions with matching pursuit
TL;DR: An algorithm that isolates the coherent structures of a signal and an application to pattern extraction from noisy signals is described, which derives a signal energy distribution in the time-frequency plane, which does not include interference terms, unlike Wigner and Cohen class distributions.
Patent
Method and apparatus for encoding and decoding signals with structures
Stephane G. Mallat,Zhifeng Zhang +1 more
TL;DR: In this article, a non-linear iterative procedure is proposed to decompose signals into elementary components that are extracted from a dictionary of waveforms. But the method is not suitable for the analysis of complex signals.