Hurst2

matlab实现huffman编码 1. norm2huff.m (encoder function) 2. huff2norm.m (decoder function) 3. frequency.m (private function) 4. huffcodes2bin.m (binary rapresentation of huffman codes) 5. huffman_bench1.m (benchmark) 6. huffman_demo1.m (demo file) 7. huffman_demo2.m (demo file) 8. huffman_test1.m (test file) 9. huffman_test2.m (test file) 10. huffman_docs.zip (documentation) 11. Disclamer.txt (this is the disclamer)(huffman coding matlab realize 1. norm2huff.m (encoder function) 2. huff2norm.m (decoder function) 3. frequency.m (private function) 4. huffcodes2bin.m (binary rapresentation of huffman codes) 5. huffman_bench1.m (benchmark ) 6. huffman_demo1.m (demo file) 7. huffman_demo2.m (demo file) 8. huffman_test1.m (test file) 9. huffman_test2.m (test file) 10. huffman_docs.zip (documentation) 11. Disclamer.txt (this is the disclamer))

matlab界面(GUI)制作,学习matlab的就有福气了(matlab interface (GUI) making, learning matlab on a lucky)

比较NLMS、基于分块的LMS和基于符号的LMS三种算法，并且实现信道均衡(More NLMS, based on the LMS and block LMS three algorithms based on symbols, and to achieve channel equalization)

说明：  OPTI open resource from their website

matlab simulink的九阶均衡器的MDL文件(9tap_equalizer.mdl)

Hu7不变矩 (hu7 moment invariant )

sphere collision in a square domain

LSI就是这样一种维数约减方法。它可以通过对“文档向量矩阵”进行解奇异值分解（SVD: Singular Value Decomposition）运算，自动计算得到一个比原始空间小得多的有效语义空间(LSI is such a dimensionality reduction method. It can be through the "document vector matrix" for the singular value decomposition (SVD: Singular Value Decomposition) operation, automatically calculated an effective semantic space is much smaller than the original space)

用VC调用Matlab的文章，文章详细介绍了几种方法，并给出了示例(VC call Matlab with the article, the article details several ways, and gives examples of)

说明：  这个是一款非常有意思的MRI 的例子程序 主要是用来告诉你如何进行最简单的三维重建(This is a very interesting example of MRI procedures are primarily intended to show you how simple three-dimensional reconstruction)