gausindire

On-Line Digit Recognition using Off-Line Features

solution for Travel salesman problem to matlab genetic algorithm

说明：  资料为基于BP基于BP神经网络的人脸识别源码（matlab），是课程设计做的一个课题，效果还不错，配备有测试显示界面，比较直观！(The data is the source code of face recognition based on BP neural network (matlab), which is a subject of curriculum design. The effect is good, equipped with test display interface, which is more intuitive!)

关于matlab边缘检测算法，在vc++6.0环境中使用，很好用的，共同学习(Edge detection algorithm on matlab in vc++ 6.0 environment, a good use, learning together)

ESQ measure: ------------- Usage of the PESQ objective measure is as follows: [pesq_mos]=pesqESQ measure------------- Usage of the PESQ objective measure is as follows: [pesq_mos]=pesq(cleanfile.wav,enhanced.wav) where cleanfile.wav contains the clean speech file and enhanced.wav contains the enhanced file. ------------------------- Loizou, P. (2007) "Speech enhancement: Theory and Practice", CRC Press. Any questions, please email: loizou@utdallas.edu.(ESQ measure------------- Usage of the PESQ objective measure is as follows: [pesq_mos]=pesq(cleanfile.wav,enhanced.wav) where cleanfile.wav contains the clean speech file and enhanced.wav contains the enhanced file. ------------------------- Loizou, P. (2007) "Speech enhancement: Theory and Practice", CRC Press. Any questions, please email: loizou@utdallas.edu)

用于心电信号检测，包括RR波形检测，ＱＲＳ检测，能量检测模的最大值最小值(ECG for detection, including the RR wave detection, QRS detection, energy detection module Maximum Minimum)

matlab关于图像处理的命令集，是pdf格式的，对刚刚学习MATLAB的人很有帮助

实现快速c均值聚类，能快速有效的对图像实现聚类分割，效果不错。(Rapid c-means clustering, can quickly and effectively split the image clustering, good results.)

白噪声和瑞利信道下对OFDM的仿真实现，不错，推荐给大家。(White noise and Rayleigh channel simulation of the OFDM to achieve)

k-d树的matlab程序，包含了KDTREE, KDTREEIDX and KDRANGEQUERY functions。提供了两个Demo scripts(kdtree_demo.m & kdrange_demo.m),很实用( This distribution contains the KDTREE, KDTREEIDX and KDRANGEQUERY functions. Included are the source code files in kdtree/src, as well as precompiled mex files for the following systems: - Mac OS X (Matlab 6.5) - Redhat Linux (Matlab 6.5) - Windows (Matlab 6.1) Two demo scripts are provided (kdtree_demo.m & kdrange_demo.m). The new features added June 2004: + You can now use N dimensional data points, where N>3. + Use KDTREEIND to return the index value to the closest point, instead of the closest point values. + KDRANGEQUERY can now return these index values as well. Written by/send comments or suggestions to : Guy Shechter guy at jhu dot edu June 2004 )