viterbi

一个简单的matlab通讯的小程序，希望对大家有帮助了(A simple sort of small procedures in the hope we have helped )

程序对2发2收系统进行ZF算法的仿真。发送信号采用QPSK调制，信道为准静态瑞利平坦衰落信道，引入的噪声为均值为0的高斯白噪声，接收端采用最大似然检测算法，仿真其误比特率特性。(The ZF algorithm simulation program 2 admission system. Send signals using QPSK modulation, channel prevail static Rayleigh flat fading channels, the introduction of noise with mean 0 Gaussian white noise, the receiving end using the maximum likelihood detection algorithm, simulation of the bit error rate characteristics.)

很好的学习数字通信的好的例子matlab源代码。(Good learning good example of digital communication matlab source code.)

本程序为求矩阵的最大特征值、全部特征值和特征向量，应用乘幂法和雅可比过关法(This procedure for the sake of the largest eigenvalue matrix, all eigenvalues and eigenvectors, applications by a power law and the Jacobi clearance method)

ecg signal processing with alot of classification and feature extraction technique

Image Compression A collection of simple routines for image compression using different techniques. BTCODE: Image compression Using Block Truncation Coding. PYRAMID: Image compression based on Gaussian Pyramids. DCTCOMPR: Image compression based on Discrete Cosine Transform. IMCOMPR: Image compression based on Singular Value Decomposition. The given codes can be also used in 2D noise suppression. Notes: The function conv2fft performs a 2D FFT-based convolution. Type help conv2fft on MATLAB command window for more informations.

这个是matlab应用的一个列子，设计的是通过改变不同的参数来实现不同的曲面，希望对去学matlab的人所帮助(this is a example for matlab,which is design to achieve a surface through changing diffierent parameters)

LEARN_KALMAN Find the ML parameters of a stochastic Linear Dynamical System using EM.

It is use to maintain the telephone book of college staff...

基于奇异值分解的人脸识别方法 梁毅雄 龚卫国 潘英俊 李伟红 刘嘉敏 张红梅 提出了一种将傅里叶变换和奇异值分解相结合的人脸自动识别方法.首先对人脸图像进行傅里叶变换,得到其具有位移不变特性的振幅谱表征.其次,从所有训练图像样本的振幅谱表征中给定标准脸并对其进行奇异值分解,求出标准特征矩阵,再将人脸的振幅谱表征投影到标准特征矩阵后得到的投影系数作为该人脸的模式特征.然后,对经典的最近邻分类器算法进行了改进,并采用模式特征之间的欧式距离作为相似性度量,从而完成对未知人脸的识别.采用ORL (Olivetti Research Laboratory)人脸库对本文提出的人脸识别方法进行验证,获得了100.00 的识别率.实验结果表明,本方法优于现有的基于奇异值分解的人脸识别方法,且对表情、姿态变换等具有一定的鲁棒性. (Face recognition based on singular value decomposition method Deliberate simultaneously Gong Weiguo Li Wei Hung Stephen Lau, Hong-Mei Zhang Ying-Jun Pan Paper, a Fourier transform and singular value decomposition of the combination of automatic face recognition. First of all, the face image by Fourier transformation, it has the same characteristics of the displacement amplitude spectra. Secondly, all training The amplitude spectrum of the sample images given in standard face representation and its singular value decomposition, find the standard characteristic matrix, then the amplitude of spectral characterization of human faces projected onto the standard characteristic matrix of projection coefficients obtained as the face of the model features . Then, the classical nearest neighbor classifier is improved, and the use of Euclidean distance between pattern features as the similarity measure, thus completing the identification of unknown human faces. using ORL (Olivetti Research La)