# [PDF] Top 20 Compressive sensing for sparse approximations: constructions, algorithms, and analysis

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### Compressive sensing for sparse approximations: constructions, algorithms, and analysis

... Motivations **Compressive** **sensing**, also referred to as compressed **sensing** or **compressive** sampling, is an emerging area in signal processing and information theory which has attracted a lot of ... See full document

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### Performance Analysis Of Compressive Sensing Algorithms For Image Processing

... way, **compressive** **sensing** promises to recover the high-dimensional signals exactly or accurately, by using a much smaller number of non-adaptive linear samplings or ...often **sparse** or compressible ... See full document

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### Robust compressive sensing of sparse signals: A review

... the **algorithms** can be largely ...the **sensing** matrix is very large and can only be accessed one row per ...the **sensing** matrix at each iteration of the ... See full document

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### Robust compressive sensing of sparse signals: a review

... the **sensing** matrix but only need functions that implement the matrix-vector multiplication by and T at each ...the **algorithms** can be largely ...the **sensing** matrix is very large and can only be ... See full document

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### Bayesian Compressive Sensing for Cluster Structured Sparse Signals

... structured **sparse** signals with length N and blocks K = 2 (or K = ...generated **sparse** signal θ on **sensing** matrix ...the **algorithms** are optimally set to ˆ S = S, ˆ K = K and the size of clusters ... See full document

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### One-Bit Compressive Sensing of Dictionary-Sparse Signals

... One-bit **compressive** **sensing** has extended the scope of **sparse** recovery by showing that **sparse** signals can be accurately reconstructed even when their linear measurements are subject to the ... See full document

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### Compressive Sensing and Combinatorial algorithms for image compression

... 59 6.1. Experimental results for solution A As was exposed previously, CS does not provide any advantage when the signal is not **sparse**. Then, it is necessary to establish a threshold to decide when CS is used or ... See full document

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### RZA NLMF algorithm based adaptive sparse sensing for realizing compressive sensing

... reconstruction **algorithms** have been proposed to find the suboptimal **sparse** ...a **sparse** signal. Many nonlinear **sparse** **sensing** (NSS) **algorithms** and their variants have been ... See full document

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### A Compressive Sensing Based Approach to Sparse Wideband Array Design

... genetic **algorithms**, simulated annealing or other similar optimization ...of **compressive** **sensing** and a formulation based on a modified l 1 norm is ... See full document

5

### Compressive Sensing for Cluster Structured Sparse Signals: Variational Bayes Approach

... structured **sparse** signals, of which significant coefficients appear in clustered ...of **sparse** pattern is often exploited in many concrete applications, such as multi-band signals, gene expression levels, ... See full document

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### Reconstruction for block-based compressive sensing of image with reweighted double sparse constraint

... For the prior knowledge has a crucial influence on the performance of the image reconstruction algorithm, design- ing an effective regularization term is beneficial to make full use of image prior information and further ... See full document

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### Direct Application of Excitation Matrix as Sparse Transform for Analysis of Wide Angle EM Scattering Problems by Compressive Sensing

... Abstract—When **compressive** **sensing** (CS) was employed to solve electromagnetic scattering problems over wide incident angles, the selection of **sparse** transform strongly aﬀects the eﬃciency of the CS ... See full document

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### Analysis of Music Signal Compression with Compressive Sensing

... the **sparse** representation and its effective ...the **sparse** representation as it has due advantage the large amount of data turns to be non ...estimation **algorithms** have ... See full document

5

### Sparse Array Antenna Signal Reconstruction using Compressive Sensing for Direction of Arrival Estimation

... 4.1.5 **Analysis** and discussion: recovery without noise For on grid single target cases, CS with the MFOCUSS algorithm is perfectly capable to estimate the DOA of a target ... See full document

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### Comparative Study on Sparse and Recovery Algorithms for Antenna Measurement by Compressed Sensing

... and **Compressive** Sampling Matching Pursuit (COSAMP) reconstruction **algorithms**, which improve the measurement eﬃciency and possess greater advantages and more development potential than traditional antenna ... See full document

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### Performance of compressive sensing algorithms over time varying frequency selective channel

... called **sparse** multi-path ...channels, **Compressive** **Sensing** (CS) based channel estimation method provides better estimation of **sparse** channel than the conventional estimation methods which are ... See full document

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### Dimension reduction algorithms for near-optimal low-dimensional embeddings and compressive sensing

... Secondly, motivated by compressive sensing of images, we examine linear embeddings of datasets containing points that are sparse in the pixel basis, with the goal o[r] ... See full document

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### Nonlocal tensor sparse representation and low-rank regularization for hyperspectral image compressive sensing reconstruction

... Convergence **Analysis** Lastly, we have conducted experiments to show the convergence of our method using the Toy and Indian Pines dataset as examples under different sampling rates and different ... See full document

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### Hybridizing sparse component analysis with genetic algorithms for microarray analysis

... GAs are stochastic global search and optimization methods inspired by natural biological evolution. The core of a GA is a population of potential solutions, named individuals, to a given optimization problem as well as a ... See full document

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### Compressive sensing in dynamic scenes

... from **compressive** measurements from the Bayesian ...other **algorithms** that were discussed here all provide a point-estimate of the **sparse** state x, Bayesian **Compressive** **Sensing** provides an ... See full document

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