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This MATLAB code plot the aperture efficiency Vs the subtended angle. The user enter the value of n (2,4,6 or 8) and the code will plot and tell what is angle value that achieves max efficiency and the value of this efficiency.

仿真包含有4个散射点的目标的转台ISAR成像(simulate ISAR imaging of target including four scatters)

信号时正弦波加正态零均值白噪声，信噪比10db，信号频率2kHZ，采样频率100kHZ，数据长度N=256。 (1). 用周期图法进行谱估计。(Sine wave signal plus zero-mean normal white noise, SNR 10db, frequency 2kHZ, sampling frequency 100kHZ, data length N = 256. (1) with the periodogram spectral estimation.)

实现低信噪比下的语音断电检测，谱熵端点检测，优于双门限端点检测法(Low-power voice SNR detection, spectral entropy endpoint detection, better than the two-endpoint detection threshold)

自适应最优核时频分析程序及相关软件，可用于相关的时频分析(Adaptive Optimal Kernel Time-frequency analysis procedures and related software for the relevant time-frequency analysis)

Kron Reduction for power system Y bus calculation

Elman神经网络：Elman网络是 J. L. Elman于1990年首先针对语音处理问题而提出来的, 它是一种典型的局部回归网络( global feed for ward l ocal recurrent)。Elman网络可以看作是一个具有局部记忆单元和局部反馈连接的前向神经网络。Elman网络具有与多层前向网络相似的多层结构。它的主要结构是前馈连接, 包括输入层、 隐含层、 输出层, 其连接权可以进行学习修正 反馈连接由一组“结构 ” 单元构成,用来记忆前一时刻的输出值, 其连接权值是固定的。在这种网络中, 除了普通的隐含层外, 还有一个特别的隐含层,称为关联层 (或联系单元层 ) 该层从隐含层接收反馈信号, 每一个隐含层节点都有一个与之对应的关联层节点连接。关联层的作用是通过联接记忆将上一个时刻的隐层状态连同当前时刻的网络输入一起作为隐层的输入, 相当于状态反馈。隐层的传递函数仍为某种非线性函数, 一般为 Sigmoid函数, 输出层为线性函数, 关联层也为线性函数。(Elman neural network: Elman JL Elman network is first proposed for speech processing problems in 1990. It is a typical local regression network (global feed for ward l ocal recurrent). Elman network can be seen as having a forward neural network of local memory unit and local feedback connections. Elman network has a multi-layer multilayer structure similar to the network. Its main structure is a feedforward connection, comprising an input layer, a hidden layer and output layer, which can be connected right learning correction feedback connected by a set of " structural" units, the output value of the memory for the previous time, which connection weights are fixed. In such a network, in addition to ordinary hidden layer, there is a special hidden layer, called an associative layer (or contact layer unit) this layer receives feedback signals the hidden layer, each hidden layer node has an associated layer node corresponding connection. The role of the associated layer is fo)

笔者自行编写的Matlab环境下的人脸识别算法小实验， 采用的是经典的PCA算法，主要内容是采用SVD方法提取出象素空间上的 PCA主分量特征，分类算法上仅是基于最小距离分类 (The author of the Matlab environment to prepare the face recognition algorithm under small experiment using classical PCA algorithm, the main contents of SVD method is used to extract pixel space on the PCA principal component features, the only classification algorithm is based on the minimum distance classifier)

Soure for fault classification using machine intelligence technique

EFI Application Toolkit Version 1.10.14.62 (EFI Application Toolkit Version 1.10.14.62)