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Description: 压缩传感是一个从2006年左右开始兴起的研究领域，它关注于如何采样信号，也就是信号的采样方式或者压缩方式。通过设计一种特殊的采样方案，可以使得采样频率降低为信号的“信息率”，而不是传统的奈奎斯特采样率，于是，实际的采样率可以大大低于奈奎斯特频率，却只损失很少的信息量，依然保持了充足的信息量足以恢复出采样前的原始信号。这个研究思想挑战了奈奎斯特频率的理论极限，会对整个信号处理领域产生极其深远的影响，同时，信号处理的许多应用领域也会随之发生根本性的发展和变化。
-Compressive sensing (CS) is an emerging fi eld based on the revelation that a small
collection of linear projections of a sparse signal contains enough information for sta-
ble, sub-Nyquist signal acquisition. When a statistical characterization of the signal
is available, Bayesian inference can complement conventional CS methods based on
linear programming or greedy algorithms. We perform approximate Bayesian infer-
ence using belief propagation (BP) decoding, which represents the CS encoding matrix
as a graphical model. Fast encoding and decoding is provided using sparse encoding
matrices, which also improve BP convergence by reducing the presence of loops in
the graph. To decode a length-N signal containing K large coeffi cients, our CS-BP
decoding algorithm uses O(K log(N)) measurements and O(N log2
(N)) computation.
Finally, sparse encoding matrices and the CS-BP decoding algorithm can be modifi ed
to support a variety of signal models and measurement noi
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Author: romman |
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Description: 基于Matlab编写压缩感知重建算法集，包括OMP，CoSaMP，IHT，IRLS，GBP，SP和ROMP.-Matlab codes for CS recovery algorithms, including OMP, CoSaMP, IHT, IRLS, GBP, SP and ROMP.
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Size: 442368 |
Author: 霍承富 |
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Description: 循环码的定义以及由生成多项式求解生成 矩阵和系统生成矩阵的过程，并在Matlab环境下写出了循
环码的编码器和解码器代码，实现了编码和译码功能。分析和讨论了
此码发现错误、纠正错误的能力，并讨论了其与线性分组码、Hamming
码等信道编码的区别与联系。
- Definition of cyclic codes generated by the polynomial generator matrix of the process of seeking system, written in Matlab environment and the cyclic code encoder and decoder code to achieve the encoding and decoding functions. Analysis and discussion of the discovery of this error code, the ability to correct errors, and discussed with the linear block code, Hamming
Codes channel coding and their connection.structures called finite fields and there exist a multitude of decoding algorithms for these codes. Consequently designing BCH codecs is very involved and requires a high level of expertise. This thesis describes the design of the BCH codec synthesis (BCS) system.
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Size: 201728 |
Author: 胡志宏 |
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Description: 分块压缩感知中稀疏表示增加方向性提高重构质量-Block compression to increase directional to improve the reconstruction quality perception in sparse
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Size: 44943360 |
Author: 王俊强 |
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Description: matlab code for image compressive sensing.
block compressive sensing is used.
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Size: 970752 |
Author: neets |
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Description: Block-based random image sampling is coupled with a projectiondriven
compressed-sensing recovery that encourages sparsity in
the domain of directional transforms simultaneously with a smooth
reconstructed image. Both contourlets as well as complex-valued
dual-tree wavelets are considered for their highly directional representation,
while bivariate shrinkage is adapted to their multiscale
decomposition structure to provide the requisite sparsity constraint.
Smoothing is achieved via a Wiener filter incorporated
into iterative projected Landweber compressed-sensing recovery,
yielding fast reconstruction. The proposed approach yields images
with quality that matches or exceeds that produced by a popular,
yet computationally expensive, technique which minimizes total
variation. Additionally, reconstruction quality is substantially
superior to that from several prominent pursuits-based algorithms
that do not include any smoothing
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Size: 5961728 |
Author: quang |
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Description: Block Compressed Sensing of Images Using Directional Transforms
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Size: 1143808 |
Author: 刘金亮 |
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Description: Multiscale Block Compressed Sensing with Smoothed Projected Landweber Reconstruction
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Size: 1468416 |
Author: 刘金亮 |
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Description: 一种适用于图像的压缩感知采样策略和重建算法，采样策略是基于块的图像稀疏采样矩阵，重建算法为smoothed projected Landweber（SPL）迭代算法。-BCS-SPL combines block-based compressed-sensing sampling (BCS) of an image with a smoothed projected-Landweber (SPL) iterative reconstruction. Sampling is driven by random matrices applied on a block-by-block basis, while the reconstruction is a variant of projected Landweber (PL) reconstruction (also known as iterative hard thresholding (IHT)) that incorporates a smoothing operation (Wiener filtering) intended to reducing blocking artifacts. In essence, this filtering operation imposes smoothness in addition to the sparsity inherent to PL.
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Size: 1163264 |
Author: 孔德地 |
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Description: Matlab program for Block Compressive sensing using FOCUSS
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Size: 235520 |
Author: Hebah |
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Description: BCS-SPL将图像的基于块的压缩感测采样（BCS）与平滑的投影Landweber（SPL）迭代重建相结合。采样是通过逐块应用随机矩阵来驱动的，而重建则是预期的Landweber（PL）重建（也称为迭代硬阈值（IHT））的变体，其结合平滑操作（维纳滤波）减少块效应。实质上，除了PL所固有的稀疏性之外，这种滤波操作还能提供平滑性。(BCS-SPL combines block-based compressed-sensing sampling (BCS) of an image with a smoothed projected-Landweber (SPL) iterative reconstruction. Sampling is driven by random matrices applied on a block-by-block basis, while the reconstruction is a variant of projected Landweber (PL) reconstruction (also known as iterative hard thresholding (IHT)) that incorporates a smoothing operation (Wiener filtering) intended to reducing blocking artifacts. In essence, this filtering operation imposes smoothness in addition to the sparsity inherent to PL.)
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Size: 1162240 |
Author: 钟易xxxx |
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