project3a

这是做偏最小二乘回归的软件代码,在matlab中可以实现(This is so partial least-squares regression of the software code in matlab can be achieved in)

说明：  很好的扩张滤波算法 精度高 时间短 适合导航运算(The expansion of good short time filtering algorithm for high precision navigation operations)

利用前推回带法计算配电网潮流数据，以一个40节点网络为算例(Push back with the use of the former method to calculate the distribution power flow data, a 40-node network as an example)

AR谱估计算法的matlab仿真，包括Yule-Walker方法、协方差方法、修正协方差方法和burg递推法等(AR spectral estimation algorithm matlab simulation, including the Yule-Walker method, covariance method, modified covariance method and the recursive law burg)

电梯群控系统的仿真，顾客的到达服从泊松流分布，上行还是下行是随机的，层数也是随机的，matlab仿真，有输出数据(Elevator group control system simulation, the customer' s arrival Poisson distribution flow, the upstream or downstream is random, the number of layers is random, matlab simulation, the output data)

用Matlab实现空时分组编码对其MIMO系统性能进行分析得出理想的结果(Using Matlab realize their space-time block coding MIMO system performance analysis of the desired results)

matlab 匈牙利算法，百度搜到的，试了可以用(Hungarian algorithm matlab)

语音特征参数CFCC的提取代码，原创作品。matlab程序，含参考文献及毕业论文，参考价值比较大吧(CFCC speech feature parameter extraction code, original works. matlab procedures, including references and thesis, the reference value is relatively large bar)

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 )

Skin Tone Data Hiding Technique