一个好的基于神经网络的人脸识别

based classification (SRC) has been widely used for face recognition (FR). SRC first codes a testing sample as a sparse linear combination of all the training samples, and then classifies the testing sample by evaluating which class leads to the minimum representation error. While the importance of sparsity is much emphasized in SRC and many related works, the use of collaborative representation (CR) in SRC is ignored by most literature.

产生以群结构运动的多个目标的模拟运动轨迹 参数可调(group tracking data)

说明：  在MATLAB的simulink上搭建了电动汽车的同步电机驱动控制电路(The synchronous motor drive control circuit of electric vehicle is built on Simulink of MATLAB)

对几何相似的图像进行相似部分的提取 从而进行分割提取(Similar to the geometry similar to some of the extracted image segmentation to extract)

radio of similarity window radio of search window

This is for counting the vehicles in the night time traffic

A High Pass filter matlab code for image processing in frequency domain

自己写的两种susan边缘检测算子。能够较好的实现弱边缘的精确检测。(Susan wrote their own edge detection operator. Better able to accurately detect the weak edge.)

performs convolutional encoding and viterbi decoding

峰值信噪比的源函数，数值越大，表示图像越清晰，反之，图像模糊。(Source function peak signal to noise ratio, the greater the value, the image is more clear, on the contrary, the image is blurred.)