warmingbeam

基于高波滤波的特征提取技术，从而实现人脸识别和表情识别的目的(Based on high-wave filter feature extraction techniques, in order to achieve the purpose of face recognition and expression recognition)

说明：  采用matlab编写的，采用二进制进行模式分类的程序，(prepared using Matlab, using binary for pattern classification procedures,)

说明：  AWGN的仿真程序。FILENAME: awgn_simulator.c version 1.5 (C) Tadashi Wadayama, 2003 An LDPC code simulator based on quantized-BP algorithm for AWGN chanel (AWGN simulation program. FILENAME : awgn_simulator.c version 1.5 (C) Tadashi Wada Yama. 2003 An LDPC code simulator based on quantized- BP algorithm for AWGN chanel)

matlab电子教程 包括插值拟合、稀疏矩阵、高级图形对象等有用的知识。均为pdf文件。(matlab tutorial, including electronic fitting interpolation, sparse matrix, advanced graphics and other objects useful knowledge. Are pdf files.)

IEEE六节点无功优化算法的matlab程序，以整个系统有功网损作为优化目标，通过改变节点注入无功以及变压器变比来求解所对应的有功网损，从而达到优化目标(IEEE six-node reactive power optimization algorithm matlab program, active power loss to the entire system as the optimization objectives, as well as injecting reactive power transformer to solve than the corresponding active power loss by changing the node, so as to optimize target)

维数约简工具箱源代码，包括PCA、LLE等学习算法，可用于模式识别、数据挖掘和统计分析等。(dimension reduction toolkit source code, including the PCA, LLE and other learning algorithms can be used for pattern recognition, data mining and statistical analysis.)

用多重网格法解非线性偏微分方程，假定N=4时为第0层l为输入的层数 r为MGM在在J-1层调用的次数(With multi-grid method for solving nonlinear partial differential equations, assuming N = 4 when the input layer 0 l layers r for MGM in the number of J-1 layer calls)

the leach algorimth for wsn

计算淡/海水高压轴向柱塞泵的滑靴与斜盘之间水膜厚度(Calculation of light/slipper High Pressure Seawater axial piston pump swash plate with the thickness of water film)

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.)