newXFDTD

说明：  一个利用Matlab绘图的教程，可以简单的绘制一些曲线。(A use of Matlab graphics tutorials, you can draw a number of simple curves.)

本代码是王岩数理统计与MATLAB工程数据分析一书的所有源代码。特点着重基础、强化应用、便自学，是工程数据分析一本很好的书，代码说明也较为详细，本人极力推荐！(This code is WangYan mathematical statistics and data analysis of the MATLAB project book all the source code. Based on characteristics, strengthening the application, and self-study, engineering data analysis is a very good book, code and a more detailed instructions, I highly recommend!)

1.why there is a spike at every peak of current wave form? how to eliminate this? 2.actual current before filtering is around 6 amps peak , but after filtering it is giving 8.5 amps ,even after changing KP,KI values in PI controller reference value is not coming down...

Texas A&M大学Lihong Wang教授编写的经典，用蒙特卡罗模型模拟光在组织、复杂介质、溶液中的传播。附带详细说明文件。(Classics Professor Lihong Wang Texas A & M University, prepared using Monte Carlo simulation model of light in the organization, the complexity of the medium, the solution spread. With detailed documentation.)

该上传为数字图像处理实验资料，包括实验原理和实验程序，有四个实验：图像的显示和视觉特性，图像的变换与量化实验，图像压缩综合实验，图像增强实验。可供朋友们学习数字图像处理方面参考。(The uploading of digital image processing experimental data, including the experimental principle and the experimental procedure, there are four experiments: an image display and visual characteristics, image transform and quantization experiments, a comprehensive experimental image compression, image enhancement experiments. For friends to learn digital image processing reference.)

卡尔曼滤波程序。实现多维卡尔曼滤波卡尔曼滤波程序。实现多维卡尔曼滤波(Kalman filter procedure.维卡尔曼realize multi-filter )

这是基于MATLAB的语音降噪研究资料。里面包括带噪语音以及处理后的结果，还包括源代码(This is a MATLAB-based voice noise reduction research data. Which includes the results of Noisy Speech and processing, and also include the source code)

CPM多符号检测算法调制解调，译码性能比viterbi译码还要优秀2~3dB( CPM multi-symbol detection algorithm modulation and demodulation, decoding performance even better than viterbi decoder 2 ~ 3dB)

peer pressure聚类算法 可以实现社会网络的简单聚类分析。(peer pressure clustering Algorithm)

由于遗传算法较以往传统的搜索算法具有使用方便、鲁棒性强、便于并行处理等特点，因而广泛应用于组合优化、结构设计、人工智能等领域。(Than in the past due to genetic algorithms traditional search algorithms with easy to use, robustness, ease of parallel processing, etc., which are widely used in combinatorial optimization, structural design, artificial intelligence and other fields.)