Results 31 to 40 of about 19,816 (300)

Blended Matching Pursuit

open access: yesCoRR, 2019
Matching pursuit algorithms are an important class of algorithms in signal processing and machine learning. We present a blended matching pursuit algorithm, combining coordinate descent-like steps with stronger gradient descent steps, for minimizing a smooth convex function over a linear space spanned by a set of atoms.
Cyrille W. Combettes, Sebastian Pokutta
openaire   +3 more sources

Iterative thresholding for sparse approximations [PDF]

open access: yes, 2008
Sparse signal expansions represent or approximate a signal using a small number of elements from a large collection of elementary waveforms. Finding the optimal sparse expansion is known to be NP hard in general and non-optimal strategies such as ...
Blumensath, T.   +3 more
core   +1 more source

Matching pursuits video coding: dictionaries and fast implementation [PDF]

open access: yes, 2000
Matching pursuits over a basis of separable Gabor functions has been demonstrated to outperform DCT methods for displaced frame difference coding for video compression.
Czerepinski, PJ   +3 more
core   +1 more source

Direction of arrival estimation with off-grid target based on sparse reconstruction in impulsive noise

open access: yesJournal of Low Frequency Noise, Vibration and Active Control, 2021
This paper proposes a direction of arrival estimation based on sparse signal reconstruction in the presence of alpha noise by the off-grid orthogonal matching pursuit algorithm.
LongKai Liang   +3 more
doaj   +1 more source

Audio Matching Pursuit Algorithm Based on Atomic Preselection [PDF]

open access: yesJisuanji gongcheng, 2016
The Matching Pursuit(MP) is a sparse expression greedy algorithm which is applied to signal processing.Its computation complexity is high due to traversalmatching in atom selection,and the matching process has to know the complete signal needed to be ...
HU Xia,YANG Yuhong,JIANG Lin
doaj   +1 more source

Modernization of adaptive matching pursuit method to analyze geophysical signals of pulse nature

open access: yesE3S Web of Conferences, 2018
The paper is devoted to the development and comparison of different numerical methods which increase the adaptive property and improve the accuracy of matching pursuit algorithm in connection to geoacoustic and electromagnetic signals.
Lukovenkova Ol’ga   +3 more
doaj   +1 more source

A Novel Tempogram Generating Algorithm Based on Matching Pursuit

open access: yesApplied Sciences, 2018
Tempogram is one of the most useful representations for tempo, which has many applications, such as music tempo estimation, music structure analysis, music classification, and beat tracking.
Wenming Gui   +5 more
doaj   +1 more source

Block Multipath Matching Pursuit

open access: yes, 2023
In this paper, we propose a new reconstruction algorithm called Block Multipath Matching pursuit (BMMP), which is an extension of multipath matching pursuit (MMP) in block compressed sensing. Then the reconstruction condition of BMMP based on restricted isometric property (RIP) is established. In addition, we also provides a guarantee of reconstruction
Jie Zhou, Pingping Zhang
openaire   +1 more source

Consistency in quantized matching pursuit [PDF]

open access: yes1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings, 2002
This paper explores the effects of coefficient quantization in applying the matching pursuit algorithm to source coding of vectors in R/sup N/. By considering the issue of consistency, we find that even though matching pursuit is designed to produce a linear combination to estimate a given source vector, optimal reconstruction in the presence of ...
Vivek K. Goyal, Martin Vetterli
openaire   +1 more source

Matching Pursuit and Sparse Coding for Auditory Representation

open access: yesIEEE Access, 2021
Previous studies have revealed that by mimicking the neural activity patterns of the auditory periphery to obtain perceptual features of speech signals, the resultant auditory representation is beneficial to speech-coding and pattern-analysis ...
Dung Kim Tran, Masashi Unoki
doaj   +1 more source

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