Ashares_new

Matlab实现史密斯圆图的绘制程序。 这个Matlab程序，绘制史密斯圆图，同时绘制反射系数。(Matlab Smith chart drawing program. The Matlab program to draw a Smith chart, draw the reflection coefficient.)

数字高程模型（DEM)移动插值算法，计算单个点(Digital elevation model (DEM) mobile interpolation algorithm to calculate a single point)

1. 给定模拟信号：，式中，，。对进行采样，可得采样序列 选择采样频率=1 kHz，观测时间ms，观测所得序列及其幅频特性 改变采样频率=300Hz，观测此时的变化 令采样频率=200Hz，观测此时的变化 要求分析说明原理，绘出相应的序列及其它们对应的幅频特性曲线，指出的变化，说明为什么？(failed to translatefailed to translatefailed to translatefailed to translate)

一个大规模的MIMO仿真平台开发程序，MATLAB仿真(A large-scale MIMO simulation platform development process, MATLAB simulation)

2014年全国研究生数学建模竞赛D题第一问：重要果蔬筛选-规划问题。(2014 national study mathematical modeling contest D first asked: an important fruit and vegetable screening- Programming problem.)

For inverting a matrix, Gauss-Jordan elimination is about as efficient as any other method. For solving sets of linear equations, Gauss-Jordan elimination produces both the solution of the equations for one or more right-hand side vectors b, and also the matrix inverse A(-1). However, its principal weaknesses are (i) that it requires all the right-hand sides to be stored and manipulated at the same time, and (ii) that when the inverse matrix is not desired, Gauss-Jordan is three times slower than the best alternative technique for solving a single linear set.

实现巴克码筛选，可以选出所有长度的巴克码码组。并进行画图(Achieve screening, Barker code, you can elect all of the length of the Barker code group. And for drawing)

VLSI design research papers that has been done 1980-2010

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)

考虑平衡节点的matlab潮流程序,通用性强,容易移植的,使用方便,初学者很容易上手。(Consider balancing the nodes matlab trend procedures, unified, easy to transplant, easy to use, very easy to use for beginners.)