Matching Pursuit and Sparse Coding for Auditory Representation
IEEE 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
Hybrid Precoding Algorithm Based on Discrete Orthogonal Matching Pursuit for Millimeter-Wave Relay Networks [PDF]
Jisuanji gongcheng, 2020 In order to improve the beamforming gain of massive Multiple-Input Multiple-Output(MIMO) relay system and reduce the hardware cost of phase shifters and radio frequency links in hybrid precoding architecture,this paper proposes a hybrid precoding ...
DING Qingfeng, GAO Xinpeng, DENG Yuqian
doaj +1 more source
A Low-complexity Sparse Channel Estimation Algorithm [PDF]
Jisuanji gongcheng, 2016 Traditional Compressed Sensing(CS)based channel estimation methods are difficult to implement due to their high computational complexity.To solve this problem,Generalized Orthogonal Matching Pursuit(GOMP)algorithm is used for channel estimation,which ...
FAN Xinyue,SU Yantao,ZHOU Fei
doaj +1 more source
Sample-Efficient Spatio-Spectral Whitespace Detection Using Least Matching Pursuit
IEEE Access, 2021 Multi-antenna wireless communication improves spectral efficiency by reusing frequencies at different locations in space using beamforming and spatial multiplexing.
Emre Gonultas +3 more
doaj +1 more source
Two-Stage Fast Matching Pursuit Algorithm for Multi-Target Localization
IEEE Access, 2023 For large-scale high-dimensional positioning scenes, the massive number of grid points brings challenges to the multi-target positioning algorithms based on compressed sensing. To cope with the challenges, a fast multi-target localization method based on
Ningfei Dong +5 more
doaj +1 more source
An improved reconstruction algorithm based on compressed sensing for power quality analysis
Cogent Engineering, 2016 The application and analysis of compressive sensing theory in power quality has been received more and more attention. Reconstruction algorithm is one of the most important contents of the compressive sensing theory, and as one of the reconstruction ...
Quandang Ma +3 more
doaj +1 more source
A* Orthogonal Matching Pursuit: Best-First Search for Compressed Sensing Signal Recovery
, 2012 Compressed sensing is a developing field aiming at reconstruction of sparse signals acquired in reduced dimensions, which make the recovery process under-determined.
Blumensath +24 more
core +1 more source
Single channel speech-music separation using matching pursuit and spectral masks [PDF]
, 2011 A single-channel speech music separation algorithm based on matching pursuit (MP) with multiple dictionaries and spectral masks is proposed in this work. A training data for speech and music signals is used to build two sets of magnitude spectral vectors
Erdogan, Hakan +2 more
core +1 more source
Online Orthogonal Matching Pursuit
, 2020 Greedy algorithms for feature selection are widely used for recovering sparse high-dimensional vectors in linear models. In classical procedures, the main emphasis was put on the sample complexity, with little or no consideration of the computation resources required.
Saad, El Mehdi +2 more
openaire +2 more sources
Uniform Uncertainty Principle and signal recovery via Regularized Orthogonal Matching Pursuit [PDF]
, 2007 This paper seeks to bridge the two major algorithmic approaches to sparse signal recovery from an incomplete set of linear measurements -- L_1-minimization methods and iterative methods (Matching Pursuits).
Needell, Deanna, Vershynin, Roman
core +7 more sources