xinhao

Ansoft，必不可少的工程电磁场分析使用说明。(The operator direction of ansoft, whichi is necessary during the design of E&M.)

huffman table encode and decod

This is a fast bayesian classifier.

熟悉信号采样过程，并通过本实验观察欠采样时信号频谱的混迭现象，了解采样前后信号频谱的变化，加深对采样定理的理解，掌握采样频率的确定方法。使用simulink进行仿真。(An example of the signal sampling process. Done with simulink. )

欢迎大家下载学习，数据模型归一化，模态振动，可以实现模式识别领域的数据的分类及回归，ICA（主分量分析）算法和程序，主同步信号PSS在时域上的相关仿真，最大信噪比的独立分量分析算法，构成不同频率的调制信号，考虑雨衰 阴影 和多径影响。( Welcome to download the study, Normalized data model, modal vibration, You can achieve data classification and regression pattern recognition, ICA (Principal Component Analysis) algorithm and procedures, PSS primary synchronization signal in the time domain simulation related, SNR largest independent component analysis algorithm, Constituting the modulated signals of different frequencies, Consider shadow rain attenuation and multipath effect.)

matlab时频分析，STFT, CWT，WVD，平滑伪WVD，伪WVD，Rihacazek分布，Margenau-Hill分布，Page分布，伪Page分布，Choi-Williams分布，重排伪Wigner-Ville分布， 重排伪page分布，对时频分析学习的很好资料，对非平稳信号处理有很大帮助，无损检测，振动检测，对学习和处理信号有很大帮助(Matlab time-frequency analysis, STFT, CWT, WVD, smoothed pseudo Wigner Ville distribution (WVD), pseudo WVD, the distribution of Rihacazek, Margenau Hill distribution, distribution page, pseudo page distribution, Choi Williams distribution, rearrangement of pseudo Wigner Ville distribution, rearrangement pseudo page distribution, time-frequency analysis of very good learning materials, for non-stationary signal processing is of great help, nondestructive testing, vibration testing of learning and signal processing is of great help)

说明：  经验模式分解EMD方法。可用于数据挖掘中的很多领域(EMD method of empirical mode decomposition. Can be used for data mining in many areas)

潮流计算，用matlab解决潮流问题，只要修改其中的部分参数可以实现不同功能(Flow calculation, the trend of using matlab to solve the problem, as long as some of these parameters can be modified to achieve different functions)

matlab的一款比较好的教程，大家好好看，希望对大家有所帮助。(matlab' s a good tutorial, we take look at, we want to help.)

noise cancellation program