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matlab自适应中值滤波器，程序代码，试验图片与结果图。(matlab adaptive median filter, the program code, test images and the results of Fig.)

三次样条差值方法的说明,包括其推到过程。(Method of cubic spline description of the difference)

说明：  RLS算法的matlab实现,可用于各种自适应滤波的仿真(rls )

结合PCA的尺度不变特征变换(SIFT)算法源代码，可用于图像目标检测和识别。(combine PCA scale-invariant feature transformation (metabolism) algorithm source code, images can be used to target detection and identification.)

block-LDPC码及标准QC-ldpc码的matlab仿真与实现(block-LDPC and IEEE 802.16e)

随机自动分班级排学号软件 一个朋友在中学教书，经常为排班级排学号头痛，于是做了这么一个小软件让朋友用用，反馈感觉上还不错。 本软件适用于小学升初中只有两科成绩,且成绩只有A,B,C三个标号. 说明一下:该随机自动分班级排学号软件, 不仅有有考虑到,成绩的均匀, 还考虑到生源地(即原毕业学校),性别,及班级学生个数的均匀. 一般来说,每个班级的总体都比较均匀 具体的说明，可以运行一下本软件，点一下生成源文件样本，然后参考一下即可。(Random Automatic Class scheduling software school No. A friend of mine to teach in secondary schools, often for the Class Pai Pai Student headache, then to do so, a small software that allows friends to use, and feel pretty good feedback. This software applies to primary and junior high school only two subjects, and the results only A, B, C grade three. Explain: The random Automatic Class No. Pai school software, not only has to take into account, results in uniform, but also taking into account the students (ie the original graduate schools), gender, and class number of the uniform. Generally speaking, each Class are relatively uniform overall specific, you can run like the software, click the source file to generate samples, and then reference click.)

for creating hsmm mode, you need some initialization code. hsmm initialization code can generate your hsmm model.

运用matlab实现贝叶斯决策面的算法，帮助你快速学习贝叶斯算法(Bayesian decision algorithm using matlab face, to help you quickly learn Bayesian algorithm)

基于红外图像的弱小目标检测与跟踪，matlab源代码，非常适用于初学者(Based on infrared image dim target detection and tracking, matlab source code, very suitable for beginners)

一种流形学习算法（很好用），用于特征降维，特征融合，相关分析等,分析了该信号的时域、频域、倒谱，循环谱等。( A fluid manifold learning algorithm (good use), For feature reduction, feature fusion, correlation analysis, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc.)