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Sampling and Reconstruction

Sampling and Reconstruction of Spatial Signals

Sampling and Reconstruction of Spatial Signals

... DISTRIBUTED SAMPLING AND RECONSTRUCTION A spatially distributed system contains a large amount of agents with limited sensing, data process- ing, and communication ...signal sampling and ...

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Applied Sampling and Reconstruction of Signals on the Sphere

Applied Sampling and Reconstruction of Signals on the Sphere

... the reconstruction accu- racy of any band-limited signal on the sphere for band-limits of interest in HRTF analysis for four different configurations of the sampling ...acceptable reconstruction ...

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Sampling and Reconstruction of Spatial Fields using Mobile Sensors

Sampling and Reconstruction of Spatial Fields using Mobile Sensors

... and Reconstruction of Spatial Fields Using Mobile Sensors Jayakrishnan Unnikrishnan, Member, IEEE, and Martin Vetterli, Fellow, IEEE Abstract—Spatial sampling is traditionally studied in a static setting ...

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Randomized nonuniform sampling and reconstruction in fractional Fourier domain

Randomized nonuniform sampling and reconstruction in fractional Fourier domain

... nonuniform sampling and sinc interpolation reconstruction method is proposed in this ...The reconstruction based on the chirp modulated sinc inter- polation uses the sampling instants from ...

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Sampling and Reconstruction of Spherical Signals for Applications in Cosmology, Acoustics and Beyond

Sampling and Reconstruction of Spherical Signals for Applications in Cosmology, Acoustics and Beyond

... accurate reconstruction of the sig- nals on the ...dimensionality sampling scheme [63] and propose a sampling scheme that requires the optimal number of samples for the representation of spin-s ...

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Nonuniform average sampling and reconstruction of signals with finite rate of innovation

Nonuniform average sampling and reconstruction of signals with finite rate of innovation

... the sampling set Γ, the average sampler Ψ = {ψ γ , γ ∈ Γ}, and the space V , which is where the original function f for the average sampling/reconstruction process comes ...the sampling set Γ ...

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Sampling and Reconstruction of Bandlimited Signals with Multi-Channel Time Encoding

Sampling and Reconstruction of Bandlimited Signals with Multi-Channel Time Encoding

... machines, reconstruction from multiple channels has a more intuitive solution, and does not require the knowledge of the shifts between ...this reconstruction and prove that it converges to the correct ...

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Compressive  Sensing  based  Leakage  Sampling   and  Reconstruction:  A  First  Study

Compressive Sensing based Leakage Sampling and Reconstruction: A First Study

... data sampling technology for side-channel leakage sampling and compare it with classical compressive ...a sampling rate much lower than the original one to obtain equivalent sampling ...from ...

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SAMPLING AND RECONSTRUCTION OF SIGNALS IN A REPRODUCING KERNEL SUBSPACE OF L p (R d)

SAMPLING AND RECONSTRUCTION OF SIGNALS IN A REPRODUCING KERNEL SUBSPACE OF L p (R d)

... Introduction Sampling and reconstruction is a cornerstone of signal ...of sampling is the uniform sampling of a bandlimited ...perfect reconstruction of the signal from its uniform ...

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Flexible Analog Front Ends of Reconfigurable Radios Based on Sampling and Reconstruction with Internal Filtering

Flexible Analog Front Ends of Reconfigurable Radios Based on Sampling and Reconstruction with Internal Filtering

... changed. Internal filtering performed by these structures al- lows removal of conventional antialiasing and reconstruc- tion filters or their replacement by wideband low-selectivity filters realizable on a chip. This ...

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Interference-plus-Noise Covariance Matrix Reconstruction via Spatial Power Spectrum Sampling for Robust Adaptive Beamforming

Interference-plus-Noise Covariance Matrix Reconstruction via Spatial Power Spectrum Sampling for Robust Adaptive Beamforming

... Inspired by the sampling and reconstruction idea, in this paper, a novel method named spatial power spectrum sampling SPSS is proposed to reconstruct the INC matrix more efficiently, wit[r] ...

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Green compressive sampling reconstruction in IoT networks

Green compressive sampling reconstruction in IoT networks

... Specifically, we present a suitable decision function to determine which architecture outperforms the other in terms of energy efficiency. The presented decision function depends on a few IoT network features, such as ...

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Sampling and Exact Reconstruction of Pulses with Variable Width

Sampling and Exact Reconstruction of Pulses with Variable Width

... Abstract—Recent sampling results enable the reconstruction of signals composed of streams of fixed-shaped ...low-rate sampling of specular ...

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Nonuniform sampling and maximum entropy reconstruction in multidimensional NMR

Nonuniform sampling and maximum entropy reconstruction in multidimensional NMR

... a sampling burden, because the time required to perform an experiment is proportional to the number of data ...(MaxEnt) reconstruction is a non-Fourier method of ...

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Non-linear Down-sampling and Signal Reconstruction, Without Folding

Non-linear Down-sampling and Signal Reconstruction, Without Folding

... signal reconstruction is also needed before this signal ...rate sampling technique using LEVEL CROSSING SAMPLING SCHEME (LCSS) [4] bit-rate varies with input and ...Non-uniform sampling ...

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Deterministic compressive sampling for high-quality image reconstruction of ultrasound tomography

Deterministic compressive sampling for high-quality image reconstruction of ultrasound tomography

... compressive sampling technique is a promis- ing approach for feasible hardware implementation in prac- tical ...trast reconstruction were implemented to demonstrate the very good performance of this ...the ...

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Shape Reconstruction of Unknown Targets Using Multifrequency Linear Sampling Method

Shape Reconstruction of Unknown Targets Using Multifrequency Linear Sampling Method

... Shape Reconstruction of Unknown Targets Using Multifrequency Linear Sampling Method Mallikarjun Erramshetty * Abstract—This paper aims to estimate the shape of microwave scattering objects using linear ...

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Compressive Sampling Based Interior Reconstruction for Dynamic Carbon Nanotube Micro-CT

Compressive Sampling Based Interior Reconstruction for Dynamic Carbon Nanotube Micro-CT

... the reconstruction times were 59 minutes for 100 ...are sampling of the original ones in continuous domain on the sampling ...the sampling process will serve as a truncation function in ...

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Self-calibrating nonlinear reconstruction algorithms for variable density sampling and parallel reception MRI

Self-calibrating nonlinear reconstruction algorithms for variable density sampling and parallel reception MRI

... image reconstruction for promoting image sparsity in the wavelet ...plausible sampling schemes on the one hand, and the implementation of efficient reconstruction algorithms on the other hand have ...

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Dictionary learning sparse-sampling reconstruction method for in-vivo 3D photoacoustic computed tomography

Dictionary learning sparse-sampling reconstruction method for in-vivo 3D photoacoustic computed tomography

... Sparse sampling is an effective way in PACT to decrease the fabrication costs of the ultrasonic array and to reduce the data acquisition ...sparse sampling using the traditional reconstruction ...

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