资源列表
rgb-to-hsi
- 本程序在matlab中实现了图像通道从rgb到hsi的转变，为图像滤波提供了基础-The image channel program in matlab transformation from rgb to hsi, provides the basis for image filtering
PostProcessing
- 有限元前处理的一个小程序，包括网格的划分等，比较有用-A finite element pre-processing program, including the division of the grid, the more useful
vectorRecovery
- 关于信息恢复的程序。输入恢复类型、恢复向量导引和测度矩阵即可恢复出原向量。测度矩阵可以通过getmat.m文件生成。-With regard to the information recovery procedures. Enter recovery type, to restore vector guide and measure matrix can be restored to the original vector. The measurement matrix through getm
imageRecovery
- 关于图像恢复的程序。输入恢复类型、待恢复图像的相关文件（程序中具体列出）和图像数量即可恢复出原图像和恢复情况评估。-With regard to the procedures for image restoration. Enter the recovery type, you can restore the image file to be restored (specifically listed in the program) and the number of images of the
good-mian
- 卷积码实现卷积码的软硬判决，不同约束长度的对比。-Convolutional codes soft judgment
matrixRecovery
- 关于不完整及不精确矩阵恢复的程序。输入矩阵的稀疏系数、测度矩阵、残缺矩阵和逼近容忍程度即可大概恢复出原矩阵并给出恢复评估系数。-Incomplete and inaccurate matrix recovery program. Sparse input matrix coefficients measure matrix, incomplete matrix approximation tolerance level you can probably recover the original
CompressedSensing
- 用于快速处理压缩感知的程序。输入原向量及其长度即可得出压缩前向量。（需要使用pdco.m文件。）-For fast processing of compressed sensing program. Enter the original vector and its length can be derived before compression vector. (Need to use pdco.m file.)
IteSoftThresBlock
- 用于处理迭代软门限中出现阻塞的程序。输入原矩阵和向量即可得出阻塞变量位置和解决阻塞后的矩阵。-For processing procedures of a block in the iterative soft threshold. Enter the original matrix and vector can be derived the blocking variable position and resolve the blocking matrix.
MPC_PID
- 模型预测控制与PID算法的Matlab实现-Matlab implementation of MPC and PID algorithm
Modeling-and-Simulation
- 利用matlab7进行系统建模与仿真的例子-Modeling and Simulation using matlab7
2d-kmean-algorithm
- 2D-Kmeans clustering algorithm. It can be used for audio(source localization) and image clutstering(object clustering in an image)-2D-Kmeans clustering algorithm. It can be used for audio(source localization) and image clutstering(object clustering i
integrator123
- a simple integrator block example