Maple-and-Matlab

This demonstration uses the Fuzzy Logic Toolbox to design a Fuzzy Inference System (FIS) using different defuzzification methods

说明：  里面有8PSK，GMSK的matlab源程序，贡献出来了(I was interested in the theory for 8PSK and came across this m-file written in 1999. It requires 2 function calls (graymapPSK and grayunmapPSK) which I have included and must be uncommented(single comments only) and loaded into your workspace. Remove the function calls from this m-file after you load into your workspace. It seems to work well and give valid results for BPSK and QPSK but I have a question about the setup for 8PSK and the solution for Pseint where Pse=Pseint. Also, the Gray coding seems different than what I m used to. Some of you more theoretical minded may have some insight into the theory behind how Pseint was determined and comment. I don t have the communications toolbox-blockset and was wondering how it compared with Matlab s example simulation of 8PSK with Gray coding (in Simulink?) Each run takes about a minute and the loop iterations are shown in the command window. A numerical example of a satellite link is shown using uncoded QPSK )

Induction machine model

关于FFT的MATLAB代码，可以很直观的验证并得到FFT序列(The MATLAB code on the FFT, it is intuitive and FFT test sequence)

用四阶亚当斯显式公式求解常微分方程初值问题是一种比较有效的方法(Adams with the fourth-order explicit formula for solving ODEs is a more effective method)

算法是基于均匀线阵的DOA方法，包括MUSIC算法和ESPRIT算法！(MUSIC DOA and ESPRIT DOA based on ULA)

Calendar content provider. The contract between this provider and applications.

matlab application developed for midi files

Detecting spheres in matlab

本论文的主要内容包含以下几个方面: 首先，论述了图像融合技术的基本理论、现状和方法，并对多聚焦图像融合 算法及融合结果的评价方法做了分类。 其次，论述了小波理论及其图像的小波分解和重构，研究了小波分解层数及 小波基函数的选择对多聚焦图像融合效果的影响，并给出了在多聚焦图像融合算 法中最佳小波分解层数和小波基函数的选取 再次，研究了基十小波变换的多聚焦图像融合方法，并提出了改进后的基十 小波变换区域对比度的多聚焦图像融合方法，并利用Matlab工具进行算法进行了 仿真实验 最后，总结本论文的研究成果和不足，并指出发展方向。(The following main parts are included. Firstly, this paper discussed the basic theory, present state and means of image fusion technology, classified multi-focus image fusion algorithm and evaluation means of image fusion consequences. Secondly, this paper discussed the wavelet theory and the wavelet decomposition and reconstruction of image, studied the effects on selection of wavelet basis function and wavelet decomposition level to multi-focus image fusion, at last the best choices are proposed. Thirdly, a new method: regional contras of wavelet transformation are proposed for multi-focus image fusion based on wavelet transformation and Matlab is employed to simulation algorithm Finally, this paper summarized the research achievement and insufficient of this paper and pointed out development direction. )