roboticPtoolboxPforPmatlab

说明：  图像在传输或长期保存中会存在图像质量下降，此程序用来对此类图像进行复原(Image in a transmission or long-term preservation will exist in image quality drop, the program used to such image restoring)

代码实现了各种方法的功率谱估计，包括MUSIC,AR,MUDV(Code of the various methods of power spectrum estimation, including MUSIC, AR, MUDV)

基于小波变换的盲均衡算法，经过实验能成功实现(Blind equalization algorithm based on wavelet transform, after the experiment can be successfully)

探讨MATLAB在 数字水印中的应用，利用MATLAB语言编程实现了一类数字水印算法的嵌入、攻击及提取过程,并给出了程序运行 的结果。 (MATLAB to explore in the digital watermarking application, the use of MATLAB programming language to achieve a class of digital watermarking algorithm for embedding, attacks and extraction process, and gives the results of the program is running.)

说明：  一组图象与视频处理C/C++代码,该软件包可用于Matlab。包括读取AVI和CIF/QCIF视频序列代码，Canny算子，Harris角点检测，全局阈值算法，动态阈值算法等等。(AP as a video processing with C/C code, the software can be used in Matlab. AVI including reading and CIF/QCIF video sequence code, Canny operator, Harris corner detection, and overall value threshold algorithm, dynamic threshold algorithm and so on.)

自己编的对于风电功率预测中风速预测采用滑动平均法(Their compiled for wind power prediction of wind speed prediction using the moving average method)

preprocessing of ECG signal for wave detection

pca和kpca程序，对大家有很大的帮助，系统辨识和故障识别，很有用的，谢谢(Pca and kpca program, to all have a big help, system identification and fault recognition, very useful, thank you )

基于MATLAB的数字图像旋转的算法和实现(MATLAB-based algorithm for digital image rotation)

说明：  VQ声纹识别算法和实验. 摘要：采用线性预测倒谱系数(1inear prediction cepstrum coefficient，LPCC)作为语音的特征参数，矢量量化(vector quantity，VQ)方法进行模式匹配，探讨声纹识别以实现身份认证，并对此识别方法进行了相关的实验．通过验证，这种方法可以区分不同的说话人，并且在做说话人辨认实验时可达到较高的识别率．(VQ pattern recognition algorithms and experimental sound. Abstract: The linear prediction cepstral coefficients (1inear prediction cepstrum coefficient, LPCC) as the voice of the characteristic parameters, vector quantization (vector quantity, VQ) method of pattern matching, pattern recognition of sound in order to achieve authentication and identification methods relevant to this experiment. Validated, this method can distinguish between different speaker, and speaker identification experiments to do to reach a higher recognition rate.)