SPRcoffier.m

一种改进的LMS算法及其在噪声对消中的应用。在分析传统定步长LMS算法和变步长LMS算法的基础上，提出了一种改进的变步长LMS算法。新算法利用瞬时误差绝对值三次方的指数形式和遗忘因子同时调整步长，更好的解决了收敛速度和稳态误差的矛盾(An improved LMS algorithm and its application in noise cancellation. In the analysis of the traditional fixed step and variable step size LMS algorithm based on LMS algorithm, a modified variable step size LMS algorithm. Absolute value of the new algorithm uses the instantaneous error and the form of cubic exponential forgetting factor while adjusting step, a better solution to the convergence speed and steady-state error of the contradictions)

说明：  implementing DF at the relay node

It is an important ebook for who teach multisim software.It consists of total 20 chapters.

介绍matlab中主要数学函数，非常实用，学习的好帮手(Introduction MATLAB in the main mathematical function, very practical, learning a good helper)

SAR图像变化检测,可以对比同一地点不是时间的SAR图像变换，并聚类分析(SAR image change detection, you can compare the same place time of SAR image transformation and cluster analysis)

模式分类，课后题，中文版172页第1题，MATLAB源程序(Pattern classification, after-school question, the Chinese version of 172 No. 1 problem, MATLAB source code)

需要进行特征分解的MUSIC法的计算了很大，通过改进，不需要特征分解就可以测向。(Necessary characteristic decomposition of MUSIC method of calculating a lot, through the improved features of decomposition can be measured without the.)

压缩传感，MATLAB，图像重建，正交匹配追踪，打破乃奎斯特定理，图像分块处理(Compressed sensing, MATLAB, image reconstruction, orthogonal matching pursuit, breaking the Nyquist theorem, the image block processing)

应用matlab编写的最炫民族风的音乐旋律(Application Matlab prepared and most unusual national wind music melody)

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.)