SIFT

这是一个贝叶斯独立分量分析(ICA)算法的线性瞬时混合高斯噪声模型和添加剂。解决问题的是ML-II推论,即资源的整合在发现源后和噪声协方差矩阵和混合了最大化的边际似然。充分统计量的估计平均场或变分理论和线性响应修正或通过自适应平均场理论水龙头。平均场方程,解决了信仰传播法的或连续的迭代。(This is a bayesian independent component analysis (ICA) algorithm of instantaneous linear mixed gaussian noise model and additives. The solution to the problem of is ML-II inference, namely of the integration of resources and noise source in found that after the covariance matrices and mixed the maximization of marginal likelihood. Sufficient statistics estimate of the mean field or variational theory and linear response correction or through the adaptive average field theory faucet. Average field equations are solved belief propagation method or continuous iteration.)

matlab code of stochastic differential

Fuzzy Logic, at present is a hot topic, among academicians as well various programmers. This book is provided to give a broad, in-depth overview of the field of Fuzzy Logic. The basic principles of Fuzzy Logic are discussed in detail with various solved examples. The different approaches and solutions to the problems given in the book are well balanced and pertinent to the Fuzzy Logic research projects. The applications of Fuzzy Logic are also dealt to make the readers understand the concept of Fuzzy Logic. The solutions to the problems are programmed using MATLAB 6.0 and the simulated results are given. The MATLAB Fuzzy Logic toolbox is provided for easy reference

InSAR工具箱，实现干涉SAR的处理和成像等功能。(Toolbox InSAR, SAR achieve interference of the treatment and imaging functions.)

快速、精确频率估计算法，噪声情况下语音信号频率估计(Fast, accurate frequency estimation algorithm, the case of speech noise frequency estimation)

静止无功补偿器 直接电流控制法的matlab模型(The matlab model of direct current control method for static reactive compensator.)

《小波分析理论与Matlab 7实现》书中每个章节的例程源代码，对初学者非常有用(" Wavelet analysis theory and Matlab 7 to achieve," the book each chapter of the routine source code is very useful for beginners)

Microelectronics Fabrication

calculate the theoretical exact(in AWGN) SYMBOL ERROR RATE(Ps_SER) verses Eb/No for even numbers of bits per symbol in qam modulation

演示代码为“独立分量分析:教程介绍”版权:2005年,企业石、心理学系、谢菲尔德大学,谢菲尔德,英格兰。(Demonstration code for "Independent component analysis: A Tutorial Introduction")