Dicar6003_4x4_140127_gurcistan

模式识别中的最近邻算法用matlab实现，简单易懂，并做了实验，用图像表示聚类结果。(The nearest neighbor algorithm for pattern recognition with matlab implementation, simple to understand, and do the experiment, with images that clustering results.)

这是一个关于异步电机无速度传感器的仿真模型，采用参考模型自适应(sensorless control of the IM based on the MRAC)

说明：  极其经典的小波包分解程序，奇异点检测，附图说明(Most classical wavelet packet decomposition process, singular point detection, photo description)

图像对齐（inage registration）工具箱，非常完整，包括帮助文件等。非常难得的，强烈推荐！(Image Alignment (Inage registration) Toolbox, a very complete, including help files. Very rare, strongly recommended!)

for removal used to remove the fog and get clear image

独立成分分析程序，实现独立成分分析的函数，可以再matlab中直接调用(Independent component analysis, independent component analysis functions directly call can matlab)

Transmission matrix code

压缩采样算法代码——亲测有效，供大家测试(Compression sampling algorithm code - pro-test valid)

这是一个有关于模式识别中的isodata算法的matlab源码。 大家可以看看。有详细注释(on the isodata pattern recognition algorithm Matlab source. We can look at. Detailed Notes)

截断奇异值分解，可用于反问题中减小矩阵的条件数(TSVD，used in inverse problem for decreace the conduction number of matrix)