Compressed sensing (CS)
Impulse Radio UWB Signal Detection Based on Compressed Sensing
... the compressed sensing (CS) based impulse radio UWB (IR-UWB) signal detection and propose an IR-UWB signal detec- tion algorithm based on compressive sampling matching pursuit ...
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New trend of compressed sensing technique directed toward internet of things
... rising compressed sensing (CS) trend will scale back the amount of sampling rates that can match with the degree of knowledge gathered, which suggests that the redundant knowledge is rarely ...and ...
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Adaptive Compressed Sensing of Speech Signals
... Compressed sensing (CS) is an emerging signal acquisition theory that directly collects signals in a compressed form if they are sparse on some certain ...
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Energy efficient sensing in wireless sensor networks using compressed sensing
... on compressed sensing has shown that random projections can guarantee the recovery of a near-optimal approximation of compressible data, with very little degradation of ...require sensing and ...
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The optimally designed autoencoder network for compressed sensing
... Compressed sensing (CS) is a signal processing framework, which reconstructs a signal from a small set of random measurements obtained by measurement ...the compressed sampling process and have high ...
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Compressed Sensing of ECG Signal for Wireless System
... In the previous imaging systems the signals are uniformly sampled at high rate and then most of the sampling data are not used because to do compression. Then why we take the little part of the signal and don’t used the ...
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Splines in Compressed Sensing
... called Compressed Sensing (CS) was formulated which ensures reasonable approximation even with sensing fewer measurements lesser than Nyquist ...than sensing all the information and the ...
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MRI Image Compression using Compressed Sensing
... be compressed for faster image acquisition. Compressed sensing is an image processing technique where the number of samples required for reconstruction is much lesser than in the traditional ...
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Phased Array Calibration by Binary Compressed Sensing
... During the calibration process, the extracted antenna correction coefficients are evaluated for all the array channels and for each specified angular direction. The number of measurements is minimized by using a ...
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Exploration of ISAR Imaging Based on Compressed Sensing
... different, compressed sensing (CS) theory of [1] does not directly measure the signal itself, but by using the constructed observation matrix Φ, the sparse or compressible high-dimensional signal is ...
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Multi target simultaneous ISAR imaging based on compressed sensing
... Conventional range-Doppler (RD) inverse synthetic aperture radar (ISAR) imaging method utilizes coherent integration of consecutive pulses to achieve high cross-range resolution. It requires the radar to keep track of ...
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Single snapshot DOA estimation by using Compressed Sensing
... example, in sonar processing, due to physical constraints, e.g., sound speed, only a very small number of snap- shots or, in the worst case, a single snapshot is available for DOA estimation [13,14]. Another application ...
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Scrambling-based speech encryption via compressed sensing
... Conventional speech scramblers have three disadvantages, including heavy communication overhead, signal features underexploitation, and low attack resistance. In this study, we propose a scrambling-based speech ...
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A Fast Explicit FETD Method Based on Compressed Sensing
... Abstract—Linear equations must be solved at each time step as the explicit finite element time-domain (FETD) method is used to solve time dependent Maxwell curl equations, which leads to a huge amount of computational ...
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Adaptive Ratio for the Compressed Sensing of Multi view Videos
... The compressed sensing (CS), developed in recent years, shows that the sparse signal can be sampled with the sub-Nyquist sampling frequency and reconstructed the original by the nonlinear optimization ...
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Development of a Neutron Spectroscopic System Utilizing Compressed Sensing Measurements
... Compressed sensing (CS) is a recent technique designed to acquire signals in a multiplexed ...of compressed sensing associated with these ...
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Sparse massive MIMO OFDM channel estimation based on compressed sensing over frequency offset environment
... This paper discusses sparse massive MIMO-OFDM channel estimation based on compressed sensing over frequency offset environment. First, we propose a new OFDM frame structure, which the major benefit is low ...
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Cognitive computation of compressed sensing for watermark signal measurement
... challenge, compressed sensing theory (CS) is proposed recently as it helps to achieve centripetal sensing and compression of sparse ...multi-stage compressed sensing ...of ...
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Compressed sensing based channel estimation for ACO OFDM visible light communications in 5G systems
... In VLC systems, due to interference from ambient light sources, estimating the channel for correct signal recovery is of utmost importance. Among studies on ACO-OFDM VLC systems, there have been proposals for channel ...
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On the error in phase transition computations for compressed sensing
... Abstract—Evaluating the statistical dimension is a common tool to determine the asymptotic phase transition in compressed sensing problems with Gaussian ensemble. Unfortunately, the exact evaluation of the ...
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