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信号相关度的检测，matlab编程实现，可有效说明两列信号的相关性信息(the dectection of signal correlationships，make it by matlab)

移动通信--无线楼宇数据传输系统的仿真.分析915M的楼宇通信特性，建立楼宇数据通信系统的仿真模型，采用无线收发芯片NRF905，依据其性能参数来判断楼宇内两点之间能否进行数据传输。(mobile communications-- wireless data transmission system building simulation. Analysis of cellphone communications characteristics of the buildings, establish premises data communications system simulation models, the use of wireless transceiver chip NRF905. based on its performance parameters to judge between the two buildings can for data transfer.)

DWT音频水印嵌入算法，DWT音频水印嵌入算法，DWT音频水印嵌入算法(The DWT audio watermark embedding algorithm, DWT audio watermarking algorithm, DWT audio watermark embedding algorithm)

扩展卡尔曼滤波算法，经过测试可以使用，matlab程序(Extended Kalman filter algorithm)

线性预测分析是现代语音信号处理中最核心的技术之一，为现代语音信号处理的飞速发展立下了赫赫功劳，在语音分析、合成、编码、识别等方面都有着广泛的应用，至今仍是最有效的语音分析技术之一。(Linear prediction analysis is the most modern speech signal processing one of the core technology for the modern rapid development of voice signal processing and established illustrious contribution of the speech analysis, synthesis, coding, recognition and so on are widely used, still is the most effective voice analysis technologies.)

最优化算法中的带有Wolf搜索求步长的拟牛顿算法求最优值的源码，matlab编程实现，希望对大家有用。(Optimization algorithm with Wolf to the search requirements step quasi-Newton algorithms to find the optimal value of the source code, Matlab programming, and hope to be useful.)

说明：  APF仿真，关于matlab中APF的全面仿真，自己画的图，绝对正确，无任何错误(APF simulation model)

In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar -xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets. (In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar-xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets. )

二维情况下用ＦＤＴＤ方法模拟电磁波的传播情况，加入了理想匹配层，用Ｃ和MATLAB混合编程，信号源是高斯脉冲(Two-dimensional case with the FDTD simulation of electromagnetic wave propagation, no additional absorbing boundary condition, mixed with the C and MATLAB programming, the signal source is a Gaussian pulse)

zhe ge hen hao yong de dajia laikankan ba (zhe ge de hen hao yong dajia laikankan ba)