matlab

two matlab code for reading sgy format data set in matlab you must then plot it

最小方差无失真响应，波束形成，增强信号。(Minimum Variance Distortionless Response ,Digital Beamforming,Siginal Enhancement)

完整的OFDM系统仿真程序，包括调制解调假如循环前缀IFFT和FFT以及信道描述等(Complete OFDM system simulation program, including the modem if the cyclic prefix and FFT and IFFT channel description)

经典的三代相干体算法C1/C2/C3,用于地震资料解释中，进行不连续性监测。(compute coherency in seismic interpretation)

这是用matlab编写人脸检测软件，是用的adaboost算法，参考价值还是很高的(using Matlab is prepared Face detection software is used adaboost algorithm, reference value or high)

说明：  MATLAB 图论中经常涉及的球最小生成树的prim和kruskal算法(prim+and+kruskal)

rt logic floue mppt po psoo and mp

语音信号处理中，高通滤波器的设计，实现效果比较好的(Speech signal processing, high-pass filter design, to achieve better results)

A fast customizable function for locating and measuring the peaks in noisy time-series signals. Adjustable parameters allow discrimination of "real" signal peaks from noise and background. Determines the position, height, and width of each peak by least-squares curve-fitting.(A fast customizable function for locating and measuring the peaks in noisy time-series si gnals. Adjustable parameters allow discrimin ation of the "real" signal peaks from noise and back ground. Determines the position, height, and width of each peak by least-squares curve-f itting.)

S4VM 对传统的S3VM 进行了改进。传统的S3VM 基于低密度假设，它试图找到一个低密度的分界线， 也就是更倾向于决策边界穿过特征空间的低密度区域。S4VM 和S3VM 的不同点在于，S3VM 试图把注意力 集中在一个最优的低密度分界线上，而S4VM 则同时关注多个可能的低密度分界线。之所以这样做，是因为 给定一些有标记的点和大量未标记的点，可能存在着不止一个“间隔”较大的低密度分界线（如图2 ），基于 有限的标记样本，很难决定哪个是最好的。虽然这些低密度分界线都与有限的标记样本吻合，但它们之间差 异很大，因此如果选择错了，会有一个很大的损失，导致性能下降。所以S4VM 试图考虑所有可能的低密度 分界线。 (Over the past decade, many improved versions are proposed to solve every different specific problem of semi-supervised support vector machines, for example: to the inefficiency issue, meanS3VM is introduced to performance degenerate problem, S4VM is proposed)