signal reconstruction
Real Time Implementation of Multilevel Perfect Signal Reconstruction Filter Bank
... filter reconstruction levels and three kinds of signal for multi-level perfect reconstruction filter bank were implemented in ...perfect signal reconstruction. Perfect ...
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SPARSE SIGNAL RECONSTRUCTION FROM COMPRESSED SENSING MEASUREMENTS BASED ON DETECTION THEORY
... sparse signal reconstruction from the well-known Compressed Sensing measurement is considered in this ...measured signal is assumed to be corrupted with additive white Gaussian noise with zero mean ...
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Fast and Robust Compressive Signal Reconstruction Via Approximate Message Passing and Denoising
... The rapid development of information technology in recent decades has led to an increasing demand for data acquisition systems, such as audio recorders and imaging devices. Moreover, large amounts of data must be stored ...
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Chaotic signal reconstruction with application to noise radar system
... the signal reconstruction ...tic signal reconstruction for long sequence may not reach the ideal effect only using the initial condition estimation ...chaotic signal is short, even if ...
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Sub-Nyquist signal-reconstruction-free operational modal analysis and damage detection in the presence of noise
... Motivated by a need to reduce energy consumption in wireless sensors for vibration-based structural health monitoring (SHM) associated with data acquisition and transmission, this paper puts forth a novel approach for ...
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Optimal Signal Reconstruction Using the Empirical Mode Decomposition
... a signal and is completely self-adaptive, it does not have any implication on reconstruction ...for signal reconstruction, a more flexible scheme is ...for signal reconstruction ...
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A clean signal reconstruction approach for coherently combining multiple radars
... high signal-to-noise ratio (SNR) while maintaining a moderate antenna ...clean signal reconstruction approach for CP ...a reconstruction-elimination-reconstruction ...
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Effects of Papoulis-Gerchberg Iterative Scheme with Real Orthogonal Transform for Signal Reconstruction
... to signal reconstruction ...band-limited signal practically is difficult to be ...the reconstruction and a faster convergence rate can be obtained if the proposed preprocess concept is ...
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A Complete Readout Chain of the ATLAS Tile Calorimeter for the HL-LHC: from FATALIC Front-End Electronics to Signal Reconstruction
... complete signal processing, including amplification, shaping and ...Filtering signal reconstruction method adapted to fully exploit the FATALIC three-range ...the signal reconstruction ...
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Improved algorithm based on modulated wideband converter for multiband signal reconstruction
... The idea of this paper is to change the inner product into the correlation coefficient, so that we can measure the matching degree between atoms and the residual better. In order to check the performance of the change- ...
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Matching Pursuit for Sparse Signal Reconstruction Based on Dual Thresholds
... image signal is not sparse strictly in sym6 wavelet ...Peak signal to noise ratio (PSNR) is used to measure the accuracy of reconstruction ...the reconstruction results of ...accurate ...
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Decoupled 2D direction of arrival estimation based on sparse signal reconstruction
... Direction-of-arrival (DOA) estimation has been playing a significant role in many applications such as radar and wireless communication, and it has been well studied in literature [1,2]. Conventional DOA estimation ...
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BLOCK SUBSPACE PURSUIT FOR BLOCK-SPARSE SIGNAL RECONSTRUCTION
... Abstract– Subspace Pursuit (SP) is an efficient algorithm for sparse signal reconstruction. When the interested signal is block sparse, i.e., the nonzero elements occur in clusters, block sparse ...
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Recursive dictionary learning approach exploiting between-channel correlations for EEG signal reconstruction
... accurate signal reconstruction, in this paper compressed sensing is used to compress and reconstruct the EEG ...EEG signal is not sparse in time domain, so it is necessary to find an appropriate ...
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Feature Extraction and Signal Reconstruction of Air and Bone Conduction Voices by Independent Component Analysis
... and signal reconstruction of air and bone con- duction voices in the time domain by applying the in- dependent component analysis ...the signal reconstruction by using several of those basis ...
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Signal Reconstruction from Nonuniformly Spaced Samples Using Evolutionary Slepian Transform-Based POCS
... the reconstruction of signals from nonuniformly spaced samples using a projection onto convex sets (POCSs) implemented with the evolutionary time-frequency ...a signal satisfying the finite time support and ...
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Sparse Array Antenna Signal Reconstruction using Compressive Sensing for Direction of Arrival Estimation
... the reconstruction performance, even beyond the point as described in (19) since this high coherence eventually results in higher computation load and numerical ...
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SISAR imaging - radio holography signal reconstruction based on receiver-transmitter motion
... processing followed by HT and second order main lobe fitting was introduced. However these methods were designed for a simplified scenario in which transmitter and receiver where stationary. In this work it is shown ...
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An Effective Wideband Spectrum Sensing Method Based on Sparse Signal Reconstruction for Cognitive Radio Networks
... of signal amplitude vector x through overcomplete representation of the received ...the signal energy as a function of hypothesized channel occupancy state, which ideally contains dominant peaks at the ...
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Referenced compressed sensing for accurate and fast spatio-temporal signal reconstruction
... iterative reconstruction algorithms, for example, improving the reconstruction time by a factor ranging from 9 to ...poor reconstruction quality and its high computa- tional ...
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