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33 156 (0,079s)

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Introduction to sparse representation of signals and compressed sensing

The textbook is devoted to the introduction to the sparse representation of signals and their special application called Compressed sensing. Low-rank approximations of certain types of signals is also mentioned....

BB - Aplikovaná statistika, operační výzkum

  • 2014
  • O
Result

Sparse and low-rank representations of signals with applications

The habilitation thesis discusses the sparse and low-rank representations of signals. The first part is devoted to the theory, which is then applied in solving two particular problems....

BI - Akustika a kmity

  • 2014
  • O
Result

Blind Compensation of Memoryless Nonlinear Distortions in Sparse Signals

This paper focuses on blind compensation of memoryless nonlinear distortions in sparse signals. A nonlinear distortion tends to decrease the sparsity. We propose, such that the compensated signal is as sparse as po...

JC - Počítačový hardware a software

  • 2013
  • D
Result

Granger causality for compressively sensed sparse signals

Compressed sensing is a scheme that allows for sparse signals to be acquired, for some sparse signals, such as for sparse temporal data, it may be difficult then verify this theorem on a number of bivariat...

Applied mathematics

  • 2023
  • Jimp
  • Link
Result

Introduction to sparse signal representations

The article is an introduction to the sparse signal representation, that could be understood as an underdetermined system of linear equations, where exists a solution for finding sparse solutions are also presented. Another...

JA - Elektronika a optoelektronika, elektrotechnika

  • 2011
  • Jx
Result

Software for sparse dequantization of signals

Software is devoted to dequantization of one-dimensional signals. Sparsity of the signal in a proper representing system is utilized. The system is possible to choose in the software. Other parameters are the input signal a...

JA - Elektronika a optoelektronika, elektrotechnika

  • 2015
  • R
  • Link
Result

Methods of Completing Missing Samples in Audio Signal

for this purpose are described. However, sparse representations of signals as a new innovative methods. The topic of sparse solutions of underdetermined linear systems is described in a theoretical way. Further, the compar...

JA - Elektronika a optoelektronika, elektrotechnika

  • 2013
  • O
Result

On the Limitation of Convex Optimization for Sparse Signal Segmentation

We show that convex optimization methods have fundamental properties that complicate performing signal segmentation based on sparsity assumptions. We review the recently introduced overcomplete sparse segmentation model, we perform ...

Electrical and electronic engineering

  • 2016
  • D
  • Link
Result

Fast convolutional sparse coding using matrix inversion lemma

Convolutional sparse coding is an interesting alternative to standard sparse coding in modeling shift-invariant signals, giving impressive results for example convolutional sparse coding computationally feasible ev...

JD - Využití počítačů, robotika a její aplikace

  • 2016
  • Jx
  • Link
Result

Sparse signal representations: compressed sensing

The article deals with the introduction to compressed sensing. The text directly follows the previous article of the same authors. The article includes the theoretical aspects as well as several numerical experiments....

JA - Elektronika a optoelektronika, elektrotechnika

  • 2011
  • Jx
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