MATLAB

This program simulates the bit-error-rate (BER) performance of OSTBC with L=4 antennas over the frequency flat Rayleigh block fading channel The code is developed for real orthogonal design, code rate 1/2 modulation- 16 QAM with gray coding resulting in 2 bits/sec/Hz.(This program simulates the bit-error-rate (BER) performance of OSTBC with L = 4 antennas over the frequency flat Rayleigh block fading channel The code is developed for real orthogonal design, code rate 1/2 modulation-16 QAM with gray coding resulting in 2 bits/sec/Hz.)

很好用的缓动类TweenLiteAS3 (Well with the slow-moving class TweenLiteAS3)

非线性光学材料的光限幅特性理论拟合，给出透过光强随输入光强的变化(optical limitting)

说明：  matlab编程画的一幅玫瑰图，直接可用，非常好看(matlab programming painting a the roses directly available, very nice ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~)

面向MATLAB工具箱的神经网络理论及应用(Toolbox for MATLAB neural network theory and application)

选择13级移位寄存器的初始数据，用移位加反馈的方法生成级数为3~13的m序列(The selection of the initial data of 13 level shift register, series is generated by shift plus feedback method for 3 ~ 13 m sequence )

说明：  电力系统潮流PQ分解法5节点和9节点计算程序。(Power flow calculation program PQ decomposition 5 nodes and node 9.)

This code proved to an efficient code for image compression using wavelet transform

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)

随着新的数学工具小波分析的实用化为基于NN负荷预测模型性能的改善提供了理论依据对于电力系统负荷非线性时间序列的辨识在预测方法研究中应给予重视在本文所用的基于小波原理和NN融合的预测原理是具有强的非线性时间序列的辩能力由研究和仿真表明它能有效提高预测的精度(with new mathematical tools wavelet analysis based on NN into practical load forecasting model to improve the performance of the rationale On the basis for the power system load nonlinear time series forecasting methods in literacy research should give importance to the use of paper Based on wavelet theory and NN fusion principle is the forecast of strong nonlinear time series by the dialectical capacity of research and simulation shows it can effectively improve the accuracy of forecasts)