linebuck

卷积运算：取x(t)和h(t)的长度为nx,nh。平移量n=nh+nx-1，利用for和if语句实现倒序求和运算。外循环用一个for语句实现平移，通过在求和时取数组元素的顺序实现倒序求和(Convolution operation: take x (t) and h (t) of length nx, nh. Translational volume n = nh+ Nx-1, use for and if statements to achieve reverse summation operator. Outside the circle with a for statement to achieve translation, when taken in sum array elements to achieve reverse the order of summation)

说明：  Matlab下用压缩感知恢复一维信号(正交匹配追踪法)(Matlab recovery under the one-dimensional compressed sensing signal (orthogonal matching pursuit method))

mimo系统基本仿真 mse算法下错误率最小(mimo system)

surf算法，实现特征点检测和匹配.文件内有两个图像匹配实例(surf algorithm, feature point detection and matching)

Traditional fire detection algorithms mainly rely on hot spot detection using thermal infrared (TIR) channels with fixed or contextual thresholds. Three solar reflectance channels (0.65 μm, 0.86 μm, and 2.1 μm) were recently adopted into the MODIS version 4 contextual algorithm to improve the active fire detection.

灰色预测GM(1,1)模型 matlab代码(Grey GM (1,1) model)

特征选择方法,matlab实现增 l减 r法 顺序后退法 SFFS 特征选择 顺序前进法特征选择(feature selection)

稀疏表示分类算法在ORL人脸库上的实验，参考文章： Wright J, Yang A Y, Ganesh A, et al. Robust face recognition via sparse representation[J]. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 2009, 31(2): 210-227. (Sparse representation classification algorithms on ORL face experiments, refer to the article: Wright J, Yang AY, Ganesh A, et al Robust face recognition via sparse representation [J] Pattern Analysis and Machine Intelligence, IEEE Transactions on, 2009, 31 (2):.. 210-227.)

信号为调频信号，实现对调频信号的脉冲压缩，获得距离像(FM signal, the signal on the FM signal pulse compression to get the distance like)

最速下降法与牛顿法-Steepest descent method and Newton s method(Steepest descent method and Newton' s method)