segmentation

数据融合，能实现多传感器数据融合，09年研究生数学建模C题程序(Data fusion.It can accomplish data fusion of difference datas from differerent sensor.)

自适应均衡领域的经典算法，最小均方误差算法（LMS）算法的数字均衡器建模源代码。建模建立了一个通信系统的收发两端，并模拟了信道衰减和噪声。并在接收端使用了数字均衡器。主程序中一次在接收端使用了自适应均衡器，另一次没有使用，可以清楚看到均衡前后误码率的差别。(The field of classical adaptive equalization algorithm, the minimum mean square error algorithm (LMS) algorithm for modeling digital equalizer source code. Modeling the establishment of sending and receiving ends of a communication system, and simulate the channel attenuation and noise. And at the receiving end using a digital equalizer. Once the main program at the receiving end using adaptive equalizer, another did not use, you can clearly see the difference before and after the equalizer BER.)

心电心音脉搏的小波去噪，特征提取，以及心血管参数的运算(ECG, heart sounds, pulse wavelet de-noising, feature extraction, and cardiovascular parameters of operation)

概率向量为p的哈夫曼码生成器，返回哈夫曼码矩阵h和一个概率向量为p的信源的码字长度(Probability vector p of the Huffman code generator, return to Huffman code matrix h and a probability vector p of the source of the code length)

用Matlab实现高斯列主元消去法解非齐次线性方程组(Matlab implementation by principal component Gaussian elimination method for solving the column non-homogeneous linear equations)

一个字符识别的matlab程序，包括细化，骨架提取，轮廓匹配等功能。(a Character Recognition of Matlab procedures, including thinning, skeleton extraction, contour matching function.)

对数谱距离计算的matlab 实现，可以用于语音增强时性能比较。(log spectrum distance computation with matlab, you can use it for speech enhancement evaluation)

import dalvik.annotation.TestTargetClass for Andriod.

Abstract—A novel algorithm to remove rain or snow streaks a video sequence using temporal correlation and low-rank matrix completion is proposed in this paper. Based on the observation that rain streaks are too small and move too fast to affect the optical flow estimation between consecutive frames, we obtain an initial rain map by subtracting temporally warped frames a current frame. Then, we decompose the initial rain map into basis vectors based on the sparse representation, and classify those basis vectors into rain streak ones and outliers with a support vector machine. We then refine the rain map by excluding the outliers. Finally, we remove the detected rain streaks by employing a low-rank matrix completion technique. Furthermore, we extend the proposed algorithm to stereo video deraining. Experimental results demonstrate that the proposed algorithm detects and removes rain or snow streaks efficiently, outperforming conventional algorithms.

于群仿真MATLAB/Simulink书上列子(simulation )