Extend-your-Flash-Application-Using-the-Context-M

spectral-clustering-demo 谱聚类的matlab演示程序，是学习谱聚类的好资料，经调试通过，包含n-cut和改进的n-cut(spectral-clustering-demo demo matlab spectral clustering, spectral clustering is good information to learn by debugging through, including the n-cut and improving the n-cut)

说明：  hough变换的最后一步，即通过找到的几个变换域中的几个点，确定原始空域中的直线！(hough transform the final step, that is, several transform domain by finding a few points to determine the air space in the original line!)

改进型的MUSIC算，该算法主要用于阵列的DOA估计(modified music method)

denoise In BayesShrink[5] we determine the threshold for each subband assuming a Generalized Gaussian Distribution(GGD) . The GGD is given by GG¾ X ¯ (x) = C(¾ X ¯ )exp¡ [® (¾ X ¯ )jxj]¯ (6) ¡ 1 < x < 1 ¯ > 0, where ® (¾ X ¯ ) = ¾ ¡ 1 X [ ¡ (3=¯ ) ¡ (1=¯ ) ]1=2 and C(¾ X ¯ ) = ¯ ¢ ® (¾ X ¯ ) 2¡ ( 1 ¯ ) and ¡ (t) = R1 0 e¡ uut¡ 1du. The parameter ¾ X is the standard deviation and ¯ is the shape parameter It has been observed[5] that with a shape parameter ¯ ranging from 0.5 to 1, we can describe the the distribution of coefficients in a subband for a large set of natural images.Assuming such a distribution for the wavelet coefficients, we empirically estimate ¯ and ¾ X for each subband and try to find the threshold T which minimizes the Bayesian Risk, i.e, the expected value of the mean square error.

This code is used in the course Digital Communications. It simulates 16QAM mode with different SNRs.

关于惯性导航系统的使用工具箱,包括了各种函数的编写及使用说明，最重要的是先要安装此工具箱。(the toolbox is very good ,and it s about INS .)

matlab中调用mathematica(call mathematica functions in matlab)

Delta robot control using Fuzzy logic 2

包含了很多分类算法，有SVM，knn，决策树等，还有文档说明(Contains a lot of classification algorithms, there is SVM, knn, decision tree and so on, have documented)

MATLAB的详细介绍，基于MATLAB的线性预测，语音信号，多个不同谐振频率的合成等等(A detailed description of MATLAB, MATLAB-based Linear Prediction, voice signal, a number of different resonant frequency synthesis, etc.)