Track_4

说明：  python实现双目立体匹配SGBM算法(SGBM algorithm for binocular stereo matching based on Python)

说明：  运用低通滤波器，中心削波和自相关技术估计一段男性和女性语音信号的基音周期，画出基音轨迹曲线，给出估计准确率。(The use of low-pass filter, the center clipping and related technologies is estimated from a male and female speech signal pitch period, pitch trajectory drawn curves of estimated accuracy.)

详细介绍了K-SVD字典训练的详细过程，对稀疏表示研究很有帮助.(Detailed introduces the K- SVD dictionary of detailed training process, the sparse say that research to have the help very much. )

SAR成像中的RD算法是最经典的校正算法之一，提供的代码有详细的注释和说明，欢迎大家下载学习(RD SAR imaging algorithm is one of the most classical calibration algorithm, the code provided detailed notes and descriptions, are welcome to download the study。)

使用山头(hill)标记法，对显著图寻找显著区域,(hill mark)

通过Gabor原子库对语音信号进行处理，用到匹配追踪算法，对各种语音信号的仿真实验都很成功。(Gabor atoms is through the voice signal processing, matching pursuit algorithm is used, on the simulation of various audio signals are successfully.)

说明：  实现matlab对感兴趣区域（ROI）提取(Implement MATLAB to extract ROI)

基于核函数的SAR图像目标识别,利用KPCA对SAR图像进行特征提取(SAR image target recognition based on kernel function，Use KPCA SAR image feature extraction)

全参考型视频质量评价方法，基于机器学习和视频特征提取，发表与2012年TMM(FR VQA method based on machine learning and video feature )

分享一个很好的图像处理MATLAB，代码最小全变差图像重建(Sharing a good image processing MATLAB, the code minimum total variation image reconstruction)