Demosaicing

经典的卡尔曼滤波计算，matlab的M文件实现。(The classic Kalman filter Matlab M-file implementation.)

综合粒子群和蚁群算法，再利用免疫算法中交叉变异算子；形成ACO-AIA-PSO混合算法，求解TSP问题(Integrated particle swarm and ant colony algorithm, and then use the crossover operator and mutation operator of immune algorithm the formation of ACO-AIA-PSO hybrid algorithm, for solving the TSP problem )

preprocessing in fMRI

粒子群滤波算法及改进算法代码，包含代码说明(Particle swarm optimization algorithm and improved algorithm code, including code description)

实现分水岭算法分割图像，使用梯度的分水岭分割来解决图像的分割问题(Watershed algorithm for image segmentation, watershed segmentation using the gradient to solve the image segmentation problem)

耳蜗实质上相当于一个滤波器组，耳蜗的滤波作用是在对数频率尺度上进行的，在1000HZ下，人耳的感知能力与频率成线性关系；而在1000HZ以上，人耳的感知能力与频率不构成线性关系，而更偏向于对数关系，这就使得人耳对低频信号比高频信号更敏感。Mel频率的提出是为了方便人耳对不同频率语音的感知特性的研究。频率与Mel频率的转换公式为(Cochlear substantially equivalent to a filter set, cochlear filter is used on logarithm frequency scale, under the 1000 hz, the perception of the human ear and a linear relationship with frequency In more than 1000 hz, the perception of the human ear does not constitute a linear relationship with frequency, and prefer to logarithmic relationship, which makes the human ear is sensitive to low frequency signal is better than high frequency signal. Mel frequency is put forward in order to facilitate the ear of the study of speech perception characteristics of different frequency. For frequency and Mel frequency conversion formula )

惯导解算程序,武汉大学课程作业，自己编的，仅供参考(Inertial navigation solution)

一个很好的cost231信道建模程序，并有图示说明(A good cost231 channel modeling program, and a note icon)

极大似法编的系统辨识malab源码，这是基于概率的方法，可以直接拿来作为极大四然的程序短，应用于各种极大四然的实例(Maximum method of system identification malab source)

这是关于使用matlab处理DTFT变化的一篇很好的文档，其中有理论、有程序。(This is a document on the use of matlab processing the DTFT change a good theory, procedures.)