entropy

Pcb programing in matlab

用最小二乘支持向量机的算法做一个对正弦波信号的跟踪，跟踪效果很好(Using least squares support vector machine algorithm to make one pair of sine wave signal tracking, tracking works well)

EM算法估计GMM的matlab版本的源代码，适合给类机器学习问题(EM algorithm estimates GMM Matlab version of the source code, suitable for the type of machine learning problems)

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.)

将若干张a到k的扫描的手写字符图像进行分割，输入神经网络进行识别(will to a certain Zhang k scanning images of handwritten character segmentation, neural network recognition)

vlfeat-0.9.18 matlab windows最新版本(vlfeat-0.9.18 windows)

说明：  人工免疫算法程序,请大家多多关注，谢谢！(Artificial immune algorithm procedures, please everybody a lot of concern, thank you!)

calibration matlab code

利用STFT可以估计信号在每片短时窗内的频率得到信号的瞬时频率，该曲线由一组时间和频率相对应的点组成，反映了信号频率随时间的变化。(Using STFT can estimate the frequency of the signal in every piece of short-time window get signal instantaneous frequency, the curve consists of a set of time and frequency of corresponding points, reflects the signal frequency changes over time. )

说明：  数字信号处理课件。包括课程和试验部分。对初学者有用(Digital signal processing software. Including courses and tests. Useful for beginners)