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此为一篇介绍mcmc方法的外文文献 非常适合刚刚接触mcmc方法的初学者(This paper introduces the readers of the Proceedings to an important class of computer based simulation techniques known as Markov chain Monte Carlo (MCMC) methods. General properties characterizing these methods will be discussed, but the main emphasis will be placed on one MCMC method known as the Gibbs sampler. The Gibbs sampler permits one to simulate realizations from complicated stochastic models in high dimensions by making use of the model’s associated full conditional distributions, which will generally have a much simpler and more manageable form. In its most extreme version, the Gibbs sampler reduces the analysis of a complicated multivariate stochastic model to the consideration of that model’s associated univariate full conditional distributions.)

永磁同步电动机直接转矩控制论文,其中比较了滑模观测器和kalman滤波器的优缺点(SMO-KF compare used in DTC for PMSM drive)

一篇讲解如何通过情绪奖励来改善人工智能的论文，很有启发性。(How to Gain Emotional Rewards during Human-Robot Interaction Using Music.)

BER for QAM modulation in a Rayleigh fading channel with and without transmit beamforming

partical swarm optimization method for optimize antenna array...

Matlab image processing study notes provide Fourier transform image processing code

Analysis and Design of High-Frequency Isolated Dual-Bridge Series Resonant DC/DC Converter

Beamspace ESPRIT方法在MIMO雷达角度估计中是实现，有仿真后的结果对比(Beamspace ESPRIT angle estimation method in MIMO radar is realized, after the simulation results comparison)

How to create a random horse race with gui (netbeans 7.5)

support vector machine for demand forcasting