cyclic2_am

Single Phase Inverter with PWM

海杂波模拟 lognormal分布 很好用的(Simulation of lognormal distribution of sea clutte)

这是有关mimo的英文资料，里面包含有MATLAB源程序，可能对大家有用(mimo in English, which contains MATLAB source, we may be useful right)

完整的OFDM链路程序并作了较为具体的解析从基本的bpsk,qpsk,qam到实际的ofdm系统，cdma链路，mac层仿真分析.(Orthogonal frequency division multiplexing (OFDM) is becoming the chosen modulation technique for wireless communications. OFDM can provide large data rates with sufficient robustness to radio channel impairments. Many research centers in the world have specialized teams working in the optimization of OFDM for countless applications. Here, at the Georgia Institute of Technology, one of such teams is in Dr. M. A. Ingram’s Smart Antenna Research Laboratory (SARL), a part of the Georgia Center for Advanced Telecommunications Technology (GCATT). The purpose of this report is to provide Matlab code to simulate the basic processing involved in the generation and reception of an OFDM signal in a physical channel and to provide a description of each of the steps involved. For this purpose, we shall use, as an example, one of the proposed OFDM signals of the Digital Video Broadcasting (DVB) standard for the European terrestrial digital television (DTV) service.)

说明：  在matlab中运行的用于对数据进行正交信号校正的程序(Matlab running in the data for orthogonal signal correction procedure)

说明：  上传几个二进小波变换的图像增强的matlab程序(From a number of dyadic wavelet transform of image enhancement matlab program)

说明：  bp神经网络的相关MATLAB实现，源码被保存在txt文件中，需要自行粘贴即可(Related MATLAB bp neural network implementations, source code is stored in the txt file, you need to stick to their own)

High order statistics matlab7.0

This is a solution manual of Probability of random signal.

The method works as follows. 1. For a data set with dimensionality, d, compute the variance of data in each dimension (column). 2. Find the column with maximum variance call it cvmax and sort it in any order. 3. Divide the data points of cvmax into K subsets, where K is the desired number of clusters. 4. Find the median of each subset. 5. Use the corresponding data points (vectors) for each median to initialize the cluster centers.