arduino_arduino

曼彻斯特编码，纯属原创。所有参数开放，易于使用。大家发表意见。(Manchester encoding is purely original. All the parameters open, easy to use. Everyone to express their views.)

It implements an IIR filter in distributed arithmetics

some of gui and file matlab for student

this simulation finding error in a cotton based on training cotton with morphological function

switch and stay模式下，瑞利信道环境中的能量检测(energy detection switch and stay mode, Rayleigh channel environment)

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)

归一化切割和图像分割算法及其论文,归一化分割不仅度量了不同分组之间总体不相似性，同时度量了分组内的总体相似性(Normalized cuts and image segmentation algorithm and its papers, normalized measure divided not only between the different groups no overall similarity, while the overall measure of similarity within groups)

Matlab和LabVIEW混合编程的实现 (Matlab and LabVIEW programming mixed implementation)

本文主要是介绍GAMBIT建模的基元和过程(GAMBIT modeling are introduced and the process of primitive)

In this presentation the method of least squares will be used to derive a recursive algorithm for automatically adjusting the coefficients of a tapped-delay-line filter, without invoking assumptions on the statistics of the input signals. This procedure, called the recursive least-squares (RLS) algorithm.