tongyuanfangzhen

利用平均周期图法的进行功率谱估计，得到信号的频谱幅度。(Use the average periodogram method for power spectrum estimation, be the signal amplitude spectrum.)

Mie理论在matlab环境下的一些程序，没有简介，请参照里面的WORD文档！(Mie theory in matlab environment, some of the procedures, there is no profile, please refer to the document inside the WORD!)

音乐合成，给定一段简谱，用matlab生成一段音乐，同时可以变换频率等处理(Music synthesis, given a numbered musical notation, matlab generating a period of music, and at the same time can transform frequency and so on )

Orthogonal Frequency Division Multiplexing (OFDM) is a spectrally efficient multicarrier modulation technique for high speed data transmission over multipath fading channels. High Peak-to-Average Power Ratio (PAPR), which leads to power inefficiency in the RF portion of the transmitter, is a major drawback of OFDM.

1280点fft变换，改变传统的需2046点FFT的情况。(1280 point FFT，radix 4 and radix 5 )

VARHMMBOX, version 1.1, Iead Rezek, Oxford University, MAR 2002 Matlab toolbox for Hidden Markov Models (Adapted from Machine Learning Toolbox Version 1.0 01-Apr-96 Copyright (c) by Zoubin Ghahramani, University of Toronto) The software uses some NETLAB routines (see http://neural-server.aston.ac.uk/netlab/index.html) so you ll need to have NETLAB on your search path See the file VERSION for what s new in this version.

It is a 4-bit adpcm. This is a simple illustration of how compression can be achieved more than pcm.

Matlab Models for PHY Design

现有的代数特征的抽取方法绝大多数采用一维的方法，即首先将图像转换为一维向量，再用主分量分析（PCA）,Fisher线性鉴别分析（LDA）,Fisherfaces式核主分量分析（KPCA）等方法抽取特征，然后用适合的分类器分类。针对一维方法维数过高，计算量大，协方差矩阵常常是奇异矩阵等不足，提出了二维的图像特征抽取方法，计算量小，协方差矩阵一般是可逆的，且识别率较高。(existing algebra feature extraction method using a majority of the peacekeepers, First images will be converted into one-dimensional vector, and then principal component analysis (PCA), Fisher Linear Discriminant Analysis (LDA), Fisherfaces audits principal component analysis (KPCA), and other selected characteristics, then use the appropriate classification for classification. Victoria against an excessive dimension method, calculation, covariance matrix is often inadequate singular matrix, a two-dimensional image feature extraction method, a small amount of covariance matrix is usually reversible, and the recognition rate higher.)

本文件为常见聚类算法测试数据集 ，UCI上常用的聚类算法数据集(This document is a common clustering algorithm test data set.)