gpc_la

Introduction Icasso is based on running FastICA several times (resampling). Icasso pools all the estimates together and forms clusters bottom-up among them. The basic idea is that a tight cluster of estimates is considered to be a candidate for including a "good" estimate. A centroid of such cluster is considered a more reliable estimates than any estimate from an arbitrary run. (Instead of an average as a centroid, Icasso visualizes and returns a centrotype from each cluster. This is the one of the original estimates that is most similar to other estimates in the same cluster. You can compute the average by using Icasso functions.)

自己编写的彩色图像分水岭分割代码，希望对大家有帮助。(I have written the code for color image watershed segmentation, we want to help.)

signal analysis using fft in matlab.

波束形成就是从传感器阵列重构源信号。（1）、通过增加期望信源的贡献来实现；（2）、通过抑制掉干扰源来实现。经典的波束形成需要观测方向(期望信源的方向)的知识。盲波束形成试图在没有期望信源方向信息的情况下进行信源的恢复(From sensor array beamforming is reconstructing source signal.(1), by increasing the expected source contribution to achieve (2), by suppressing interference sources.Classic beamforming need observation direction (expected source direction).Blind beamforming is trying to not expect source direction information of source of recovery)

images and logfile messages

Application of wiener filter

使用matlab和VC的混合编程来实现图形图像的分割(VC using matlab and Hybrid Programming to achieve graphic image segmentation)

matlab 关于GUI 技术的知识，希望对GUI设计感兴趣的有帮助(the matlab GUI technology knowledge, hope interested in GUI design)

对于高频输出的陀螺数据进行分割处理并合并,实现陀螺漂移零偏计算(For high-frequency output of the gyro data processing is divided and combined to achieve the gyro bias drift calculation)

球形译码程序 从理论上比较详尽地仿真出了CLSD，每一步都有详尽的解释(Sphere decoding procedures detailed theory simulation CLSD every step detailed explanation)