Riemann-solver

说明：  卡尔曼滤波的一个典型实例是从一组有限的，对物体位置的，包含噪声的观察序列预测出物体的坐标位置及速度. 在很多工程应用(雷达, 计算机视觉)中都可以找到它的身影. 同时，卡尔曼滤波也是控制理论以及控制系统工程中的一个重要话题. 　　比如,在雷达中,人们感兴趣的是跟踪目标,但目标的位置,速度,加速度的测量值往往在任何时候都有噪声.卡尔曼滤波利用目标的动态信息,设法去掉噪声的影响,得到一个关于目标位置的好的估计。这个估计可以是对当前目标位置的估计(滤波),也可以是对于将来位置的估计(预测)，也可以是对过去位置的估计(插值或平滑). (kalman filter in matlab)

Discrete Preisach hysteresis algorithm

noisegen.m：生成白噪声并按照指定信噪比对语音进行加噪； add_noisem.m：使用输入的噪音按照指定信噪比对语音进加噪； SNR_singlech.m：输入纯净语音和加噪后的语音，计算其信噪比； my_add_noise.m：调用上述函数进行加噪操作；(noisegen.m: white noise generated by the specified signal to noise ratio of the speech plus noise add_noisem.m: use the specified input noise into the signal to noise ratio of the speech plus noise SNR_singlech.m: pure voice input and processing after the noise voice, calculate the signal to noise ratio my_add_noise.m: call the above functions plus noise operation )

comp_snr.m总体和节段SNR，comp_wss.m加权频谱斜率度量，omp_llr.m似然比测量，comp_is.m板仓斋藤措施，comp_cep.m倒谱距离测量，addnoise_asl.m 基于活动语音水平以指定的SNR将噪声添加到干净的信号 (comp_snr.m Overall and segmental SNR，comp_wss.m Weighted-spectral slope metric，comp_llr.m Likelihood-ratio measure ，comp_is.m Itakura-Saito measure，comp_cep.m Cepstral distance measure，addnoise_asl.m Adds noise to the clean signal at specified SNR based on active speech level. )

The Famous Latest LibSVM

说明：  普通机床改造成数控机床,是学生毕业也是经常遇到的课题.(Transformed into ordinary CNC machine tools, graduate students are also frequently encountered issues.)

MATLAB精彩编程及高级应用，适用于进阶编程人员学习参考(Advance Application for MATLAB)

matlab中实现三维空间中一点绕一条直线旋转的程序，输入一点，一条直线和一个角度，输出旋转后的点。(Three-dimensional space, matlab point in a straight line rotating around the program, enter the point, a straight line and a point of view, the output after the point of rotation.)

关于struct指针的小程序，能更好的清楚了解struct指针(The program is about struct pointer.)

In an image edge is more important to interpolate the missing pixel values. In similarity algorithm edge is detected using the unified high frequency map. Based on this the missing green pixels are interpolated by taking the average of surrounding values. Then the missing red and blue values are interpolated similarly.