mulFastDown

现代信号处理中谱估计在matlab中的使用，tuhrzmX参数单径或多径瑞利衰落信道仿真，双向PCS控制仿真，BP神经网络用于函数拟合与模式识别，hCxHWym条件包括主成分分析、因子分析、贝叶斯分析，使用混沌与分形分析的例程。( Modern signal processing used in the spectral estimation in matlab, tuhrzmX parameter Single path or multipath Rayleigh fading channel simulation, Two-way PCS control simulation, BP neural network function fitting and pattern recognition, hCxHWym condition Including principal component analysis, factor analysis, Bayesian analysis, Use Chaos and fractal analysis routines.)

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88E1111S 88E1118R circuit application

Creates a sinewave in matlab. Can be used to creates waves to test filters

文件包含三个子文件：dec.m,test_dec.m,recon.m dec.m文件使用MATLAB语言自己动手编写小波分解算法； test_dec.m使用MATLAB语言测试dec.m文件中自己编写的小波Mallat分解算法正确性 recon.m使用MATLAB语言自己动手编写Mallat重构算法 函数使用MATLAB语言，没有调用MATLAB小波分解函数，而是自己动手编写的小波Mallat算法对含噪声的信号进行分解、重构；这对对小波分解的初学者，加深对小波分解有着引导作用。(File contains three subfolders: dec.m, test_dec.m, recon.mdec.m using MATLAB language to prepare yourself wavelet decomposition algorithm test_dec.m using MATLAB language testing dec.m document I have written Mallat wavelet decomposition algorithm correctly recon.m use of MATLAB language to prepare yourself Mallat reconstruction algorithm function using the MATLAB language, do not call the MATLAB wavelet decomposition function, but do-it-yourself prepared Mallat wavelet algorithm with noise signal decomposition, reconstruction This is the wavelet Decomposition of the beginners, have a better understanding of the guiding role of wavelet decomposition.)

计算转子各阶临界转速。考虑了陀螺力矩。用FEM法。(Calculation of the rotor of the first critical speed. Consider the gyroscopic moment. With the FEM method.)

matlab/simulink 整流器二电平仿真源代码，修改参数后即可使用 个人原创，亲自调试可用(Two-level converter simulation source code)

In this paper, a multimodal image fusion algorithm based on multiresolution transform and particle swarm optimization (PSO) is proposed. Firstly, the source images are decomposed into low-frequency coefficients and high-frequency coefficients by the dual-tree complex wavelet transform (DTCWT). Then, the high-frequency coefficients are fused by the maximum selection fusion rule. The low-frequency coefficients are fused by weighted average method based on regions, and the weights are estimated by the PSO to gain optimal fused images. Finally, the fused image is reconstructed by the inverse DTCWT. The experiments demonstrate that the proposed image fusion method can illustrate better performance than the methods based on the DTCWT, the support value transform (SVT), and the nonsubsampled contourlet transform (NSCT).

Visual C++ MATLAB图像处理与识别实用案例精选 pdg格式(tha visual C+++ Matlab)

对随机高斯白噪声进行仿真实验，获得一组图像，能直观的理解噪声性质(Simulation experiments, to obtain a set of images, intuitive understanding of the noise characteristic of random white Gaussian noise)