ex1feat_clust

this program helps you simulate the classification task whit MLP (multilayer preceptron) neural network

对函数插值的理解与运用，重在掌握插值语句的使用与认识(On the understanding and use of the interpolation function, focusing grasp and understanding of the use of interpolation statement)

图像压缩算法的各种算法，用VC++实现，直接可以编译运行(Image compression algorithms algorithms, using VC++ implementation can be compiled to run directly)

视频转换程序matlab中编写视频转换程序matlab中编写视频转换程序matlab中编写视频转换程序matlab中编写(Video conversion program matlab video conversion program matlab write write write video conversion program matlab video conversion program matlab write)

FFT变换以及IFFT变换 基于matlab编程 (Based on the FFT and IFFT transform matlab programming)

MUSIC算法[1] 是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。MUSIC算法就是利用这两个互补空间之间的正交特性来估计空间信号的方位。噪声子空间的所有向量被用来构造谱，所有空间方位谱中的峰值位置对应信号的来波方位。MUSIC算法大大提高了测向分辨率，同时适应于任意形状的天线阵列，但是原型MUSIC算法要求来波信号是不相干的。(algorithm MUSIC is a method based on matrix feature space decomposition. From a geometric point of view, the signal processing of the observation space can be decomposed into signal subspace and noise subspace, it is clear that these two spaces are orthogonal. Signal subspace by the array received data covariance matrix and signal corresponding to the feature vector and noise subspace is by the covariance matrix of all minimum feature values (noise variance) corresponding to the feature vectors are composed. MUSIC algorithm is to use the orthogonal characteristics of these two complementary space to estimate the azimuth of spatial signals. All vectors of the noise subspace are used to construct spectral, and the peak position in all spatial azimuth spectra correspond to the direction of arrival of the signal. MUSIC algorithm greatly improves the direction finding resolution, and at the same time it is suitable for the antenna array of any shape, but the prototype MUSIC algorithm requir)

Locally weighted regression (LWR) is a memory-based method that performs a regression around a point of interest using only training data that are ``local to that point. One recent study demonstrated that LWR was suitable for real-time control by constructing an LWR-based system that learned a difficult juggling task.

lear N = 10^5 EB_NO = [-1:30] liu1 = zeros(1,N) liu2 = zeros(1,N) for ii = 1:length(EB_NO) m= (2*(rand(1,N)>0.5)-1) + j*(2*(rand(1,N)>0.5)-1) s = (1/sqrt(2))*m normalization of energy to 1 n = 1/sqrt(2)*[randn(1,N) + j*randn(1,N)]

关于matlab编写的语音端点检测的程序(Matlab prepared speech endpoint detection procedures)

16QAM调制解调，不用系统自带命令，完全按照调制解调系统进行。(16QAM modulation and demodulation, without the system comes with command, in full accordance with modulation and demodulation system.)