Search - block cs

[SCM] sd_spi

Description: spi 翻译资料 7.2 SPI总线 SD卡信道由指令和数据位（起始位和结束位）组成，SPI信道由字节定向。每一个指令或数据块由8位的字节和CS标志构成。类似SD卡协议, SPI通讯由指令、响应和数据组成。全部的主机与SD卡之间的通信由主机控制。主机执行每一跟CS标志为低的总线-spi Translation 7.2 SPI bus data channel from the SD card command and data bit (start bit and end bit) component, SPI channel directed by byte. Every command or data block from 8-bit bytes and CS constitute signs. SD card similar to the agreement, SPI communications from command, response and data components. All of the host and the communications between the SD card by the host control. Each host implementation with CS low marks for bus
Platform: | Size: 1820672 | Author: 姓名 | Hits:

[Software Engineering] CS-07-602

Description: raid 6 的分块原理，和冗余校验，很好的防止节点失效-raid 6 sub-block principle, and the redundancy check, very good to prevent the node failure
Platform: | Size: 555008 | Author: nzj | Hits:

[Documents] BCS

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
Platform: | Size: 239616 | Author: romman | Hits:

[Software Engineering] Image_reconstruction_model_using_block_compressed_

Description: 以块×块的方式获取图像,解决了现有的CS方法中可压缩采样算子所需存储较大的问题-Way to block × block access to images, the CS method to solve the existing sampling operator for compressible large memory requirements and issues
Platform: | Size: 662528 | Author: 黄二 | Hits:

[matlab] CS_recovery_algorithms_OMP_SP_IHT

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.
Platform: | Size: 442368 | Author: 霍承富 | Hits:

[matlab] l1_cs

Description: 对lena.map先分块处理，然后做cs变换，观测矩阵用随机高斯矩阵，重构算法用l1算法-On lena.map first block processed, and then do cs transform, random Gaussian matrix with the observation matrix, reconstruction algorithm algorithm using l1
Platform: | Size: 163840 | Author: liuyaxin | Hits:

[matlab] block-cs

Description: 压缩包内是有关于分布压缩传感的源程序，希望对大家有参考价值-Compressed package is about the distribution of compressed sensing of the source, I hope to be valuable
Platform: | Size: 575488 | Author: momo73051 | Hits:

[SCM] adc0832

Description: 8051单片机光敏电阻遮挡试验。 sbit CS=P1^6 //定义数模转换器硬件对应引脚 sbit CLK=P1^3 sbit DO=P1^4 sbit DI=P1^5 sbit LED=P1^2 sbit SPK=P3^0 -8051 the photoresistor block test. the sbit the CS = P1 ^ 6 //defines DAC hardware corresponds to pin the sbit the CLK = P1 ^ 3 the sbit DO = P1 ^ 4 the sbit the DI = P1 ^ 5 the sbit LED = P1, ^ 2 the sbit SPK = P3 ^ 0
Platform: | Size: 1024 | Author: chenchao | Hits:

[Other] CompressSensing_Application_4Ref

Description: 压缩感知技术的三篇应用文献，有关稀疏阵列的MIMO雷达信号处理，医学影像处理等，附两篇国外最近两年的Block CS, Sequential CS文献。-Compressed perception of the three applications of the technology literature, the sparse array MIMO radar signal processing, medical image processing, and attached two foreign recent two-year Block CS, the literature of Sequential CS.
Platform: | Size: 3424256 | Author: 高昕 | Hits:

[Special Effects] CS_Primary_tutorial

Description: CS压缩传感的初级教学代码，使用OMP重构，已注释，包括1维信号，2维图像的重构，分别使用dct和小波稀疏，列扫描和分块法进行omp重构-CS compressed sensing primary teaching code using OMP remodeling, already commented, including a 1-dimensional signals, 2-dimensional image reconstruction, respectively, using the DCT and wavelet sparse column scanning and sub-block method omp Reconstruction
Platform: | Size: 52224 | Author: wf | Hits:

[Compress-Decompress algrithms] CS

Description: 一个压缩感知的matlab程序实例，帮助新手上路。-Image block ；compressed sensing
Platform: | Size: 1024 | Author: monicamlg | Hits:

[Special Effects] CS-OMP

Description: 实现图像的分块压缩感知重建，DCT变换，OMP重构算法-Image block compressed sensing reconstruction, DCT transform OMP reconstruction algorithm
Platform: | Size: 62464 | Author: wanglili | Hits:

[Compress-Decompress algrithms] BCS_SPL

Description: 用于块的压缩感知,多种方法用于压缩感知理论-using in the block of CS
Platform: | Size: 1035264 | Author: lily | Hits:

[Compress-Decompress algrithms] cs

Description: 基于压缩感知思想的图像分块压缩与重构方法考虑到大多数图像信号信息分布有差异, 编码端, 在对图像分块的基础上, 融合熵估计和边缘检测方法计算各图像块的信息含量, 再从两个不同的角度进行分类采样: 依据信息量多少将图像块分为平滑、过渡和纹理3 类, 使用不同的采样率采样依据信息量的分布特征, 采用不同的采样率分配策略进行采样. 在解码端, 根据不同类型的图像块构造不同的线性算子进行重构, 再运用改进的迭代阈值算法去除块效应和噪声. 实验证明, 算法在提升图像重构质量的同时缩短了重构时间,并且对纹理边缘多的图像的重构效果较其他方法理想.-Considering that most information of the image signal difference distribution, the encoding side, in the right image sub-blocks based on the integration entropy estimation And edge detection method for calculating the information content of each image block, and two different angles classification sampling: The number of image blocks based on the amount of information into a smooth, transition and texture three classes, using different sampling rates based on the amount of information distribution characteristics, using different sampling sampling rate allocation strategy. in the decoding side, depending on the type of image blocks to construct different linear operator reconstructed, re-use change Iterative thresholding algorithm into blockiness and noise removal experiments show image reconstruction algorithm to enhance the quality while reducing reconfiguration time, and much of the texture edge image reconstruction results are satisfactory compared to other methods.
Platform: | Size: 10092544 | Author: Dr_wong | Hits:

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