Search
Search Results
-
Compressive Sensing and Orthogonal Matching Pursuit-Based Approach for Image Compression and Reconstruction
The focus of the paper is to reconstruct the images with a lower number of measurements by utilizing compressive sensing as the core architecture....
-
Parameter Estimation of Frequency Hop** Signals Based on Maximum Likelihood and Orthogonal Matching Pursuit
The existing method for estimating parameters of frequency hop** (FH) signal cannot perform fast and accurate parameter estimation for multiple...
-
Analysis of Non-negative Block Orthogonal Matching Pursuit
Compressed sensing has recently received considerable attention in signal and image processing, applied mathematics, and statistics. In this paper,...
-
A Matching Pursuit Algorithm for Sparse Signal Reconstruction Based on Jaccard Coefficient and Backtracking
With the rapid development of multimedia technology, it is very important to improve the accuracy of sparse signal reconstruction for image or speech...
-
A gearbox fault feature extraction method based on wingsuit flying search algorithm-optimized orthogonal matching pursuit with a compound time-frequency atom dictionary
Gearbox vibration signals are usually disturbed under strong noise. Therefore, the fault feature frequency cannot be extracted accurately and...
-
Remaining useful life prediction of silicone foam using matching pursuit and a particle filter
The silicone foam remaining useful life (RUL) predictions have been developed rapidly. However, few of them refer to the degradation model and...
-
A Novel Weakly Matching Pursuit Recovery Algorithm and Its Application
IntroductionThe existing greedy iterative compressed sensing recovery algorithms are based on least squares to estimate the signal, and most of them...
-
Sparse Signal and Image Reconstruction Algorithm for Adaptive Dual Thresholds Matching Pursuit Based on Variable-step Backtracking Strategy
The traditional greedy algorithm requires the signal sparsity as a known condition, and in most application scenarios, the signal sparsity is...
-
Compressive Spectrum Sensing for Wideband Signals Using Improved Matching Pursuit Algorithms
The upcoming wireless communication technologies increase the demand for spectrum, the dynamic spectrum allocation technique is a promising solution...
-
Preconditioned generalized orthogonal matching pursuit
Recently, compressed sensing (CS) has aroused much attention for that sparse signals can be retrieved from a small set of linear samples. Algorithms...
-
Abnormal Acoustic Event Detection Based on Orthogonal Matching Pursuit in Security Surveillance System
This paper presents a feature extraction approach for surveillance system aimed at achieving the automatic detection and recognition of public...
-
Extreme Compression of the Electrocardiographic Signals Using Matching Persuit
The area of telemedicine, including wireless communication, has an increasingly significant impact on health care. In recent years, an increase in...
-
Reconstruction for Sparse Signal Based on Bidirectional Sparsity Adaptive and Weak Selection of Atoms Matching Pursuit
Under the framework of compressed sensing theory, the greedy algorithm achieves good reconstruction performance with known signal sparsity. However,...
-
Compression Sensing Signal Detection Algorithm Based on Orthogonal Matching Pursuit
At present, most of the detection algorithms used in our country take the iteration process of feature as the research object. This detection method...
-
Batch Dictionary Learning with Augmented Orthogonal Matching Pursuit
Dictionary learning is often incorporated in classification method, which can obtain a new representation under the learned dictionary to achieve...
-
Blind and Semi-blind Anechoic Mixing System Identification Using Multichannel Matching Pursuit
Sparse component analysis techniques have been successfully applied to the separation of speech sources. This paper presents an efficient algorithm...
-
Orthogonal Signal Generation: An Analytical Approach
Nowadays, many signal processing activities are related to the orthogonal properties of specific signals. However, only a few methods offer an...
-
Floating Point Implementation of the Improved QRD and OMP for Compressive Sensing Signal Reconstruction
In this paper, the Floating-Point Core Architecture based QR decomposition is proposed for solving least square problems in the Orthogonal Matching...
-
An Orthogonal Matching Pursuit Algorithm Based on Singular Value Decomposition
A recovery algorithm is one of the most important components in compressive sensing. It is responsible for the recovery of sparse coefficients in...
-
Sparse Signal Reconstruction by Batch Orthogonal Matching Pursuit
A new reconstruction algorithm called BaOMP (Batch Orthogonal Matching Pursuit) for analog-to-information conversion (AIC) system which is used to...