matlabr200excise83

Factorial hidden markov model and compute likelihood per each cycle with train test and validation set. train HMM used Backward-Forward Algorithm.

一本关于matlab信号处理很好的教程，书中涵盖了信号处理所能用的所有程序(A good tutorial on matlab signal processing, the book covers all the signal processing program that can be used)

MatLab编写的均值滤波、中值滤波、高斯滤波 等图像处理函数(Written in MatLab mean filtering, median filtering, Gaussian filtering and other image processing functions)

说明：  一个双向LSTM程序 Long Short Term 网络—— 一般就叫做 LSTM ——是一种 RNN 特殊的类型，可以学习长期依赖信息。LSTM 由Hochreiter & Schmidhuber (1997)提出，并在近期被Alex Graves进行了改良和推广。在很多问题，LSTM 都取得相当巨大的成功，并得到了广泛的使用。 LSTM 通过刻意的设计来避免长期依赖问题。记住长期的信息在实践中是 LSTM 的默认行为，而非需要付出很大代价才能获得的能力！ 所有 RNN 都具有一种重复神经网络模块的链式的形式。在标准的 RNN 中，这个重复的模块只有一个非常简单的结构，例如一个 tanh 层。(A bidirectional LSTM program Long short term network, commonly known as LSTM, is a special type of RNN that can learn long-term dependent information. LSTM was proposed by Hochreiter & schmidhuber (1997) and recently improved and promoted by Alex graves. In many problems, LSTM has achieved great success and has been widely used. LSTM is designed to avoid long-term dependency. Remember that long-term information is the default behavior of LSTM in practice, not the ability to acquire it at a great cost! All RNNs have a chained form of repetitive neural network modules. In the standard RNN, this repetitive module has only a very simple structure, such as a tanh layer.)

How C# calls Matlab? This is the solution

频谱细化分析MATLAB程序，ZOOM FFT分析，频谱放大功能( Zoom-FFT)

一个关于陀螺转动的简单模拟程序,是用MATLAB编写的.(a rotating gyroscope on the simple simulation program is prepared by using MATLAB.)

一中Ldpc编码，使用matlab实现的，采用的是线性编码算法，复杂度为线性(One Ldpc code, the use of matlab implementation, using a linear encoding algorithm complexity is linear)

redresor mono, pictures, matlab simulation

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)