Results 271 to 280 of about 18,243 (295)

Compressive sampling experiments

2014 6th European Embedded Design in Education and Research Conference (EDERC), 2014
Compressive sampling theory describes methods to reconstruct signals sampled at sub-Nyquist rates. The theory assumes that the signals are sparse in the frequency domain or in the time domain and requires a random sampling process. This paper describes compressive sampling experiments using a 6 Msps ADC (THS1206) and a C6000 DSP.
Carsten Roppel, Martin Danz
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Compressive Sampling with Coefficients Random Permutations for Image Compression

2011 International Conference on Multimedia and Signal Processing, 2011
The different image block has different sparsity or compressibility in transform domain; in general, the blocks in smooth region have stronger sparsity while those in texture or edge region have weaker sparsity. Based on this observation, a novel block DCT based sampling scheme with coefficients random permutations for image compressive sensing has ...
Zhirong Gao, Chengyi Xiong, Cheng Zhou, Hanxin Wang   +3 more
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Variational methods for compressive sampling

SPIE Proceedings, 2007
ABSTRACT We consider two natural extensions of the standard 1 minimization framework for compressive sampling. Thetwo methods, one based on penalizing second-order derivatives and one based on the redundant wavelet transform,can also be viewed as variational methods which extend the basic total-variation recovery program. A numericalexample illustrates
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Compressive quantization versus compressive sampling in image digitization

2012 IEEE Aerospace Conference, 2012
Digital image compression reduces the bandwidth, time, and energy needed for transmission of images and signals, as well as memory needed for their storage. However, it cannot solve the digitization problems. Recently proposed compressive sampling (or sensing) solves these problems by reducing the average number of projections required for representing
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Knowledge Distillation by Compressive Sampling

2023 57th Asilomar Conference on Signals, Systems, and Computers, 2023
Shreyas Chaudhari, José M. F. Moura
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Compressive sensing: from "compressing while sampling" to "compressing and securing while sampling".

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2010
In a traditional signal processing system sampling is carried out at a frequency which is at least twice the highest frequency component found in the signal. This is in order to guarantee that complete signal recovery is later on possible. The sampled signal can subsequently be subjected to further processing leading to, for example, encryption and ...
A.M. Abdulghani, E. Rodriguez-Villegas
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A hybrid sequential sampling strategy for sparse polynomial chaos expansion based on compressive sampling and Bayesian experimental design

Computer Methods in Applied Mechanics and Engineering, 2021
Bei-Yang Zhang, Yi-Qing Ni
exaly  

Sparse representations and compressive sampling approaches in engineering mechanics: A review of theoretical concepts and diverse applications

Probabilistic Engineering Mechanics, 2020
Ioannis A Kougioumtzoglou, Ioannis Petromichelakis, Apostolos F Psaros   +2 more
exaly  

A novel compressive sampling method for ECG wearable measurement systems

Measurement: Journal of the International Measurement Confederation, 2021
Francesco Picariello, Grazia Iadarola, Eulalia Balestrieri   +2 more
exaly  

Data-driven determination of sample number and efficient sampling locations for geotechnical site investigation of a cross-section using Voronoi diagram and Bayesian compressive sampling

Computers and Geotechnics, 2021
Yu Wang, Peiping Li
exaly