my_kalman

There are many compressed sensing (CS) recovery algorithms that have been proposed. Here I list some of them, and provide the corresponding experimental results. Essentially, the recovery algorithms are similar to the sparse coding based on the over-complete dictionary.

一个用神经网络进行人脸检测的程序,解压后运行main.m文件，之后对神经网络进行训练，需要一定的时间，耐心等待，最大400个周期，然后就可以对灰度人脸图像进行检测了。 (A neural network with a face detection program, run the main.m file after decompression, the neural network after training, take time, patience, maximum 400 cycles, and then you can on the gray face image detected.)

以短时傅里叶变换为基础，进行信号的时频分析，可以在做出三维瀑布图。(In short time Fourier transform as the foundation, carries on the signal of time-frequency analysis, we can make 3 d waterfall diagram )

说明：  压缩感知的基于正交化重构算法,该算法用matlab实现，(Orthogonalization compressed sensing reconstruction algorithm, the algorithm using matlab,)

适合初学者学习的教程,还有例子.适合电子与通信专业,以及信息工程专业学习熟悉Matlab的教程(Course suitable for beginners to learn, there are examples. Suitable for electronic and communications professionals, and information engineering study are familiar with Matlab tutorial)

covolutional turbo coides

理查德森迭代法，最基础的迭代方法之一。之后会补充高斯和雅阁比、(richardson function)

目标跟踪的综述，是学习视频图像中目标跟踪的必看文献。(Summary of target tracking, is to learn the video image object tracking must-see literature.)

用matlab在所采集到的数据中快速寻找首帧,只需要改几个参数就能实现。(It is easy to find the start frame in recieving data.)

MATLABC数学函数库在C语言中的应用(MATLABC math library in C language)