Search - matlab p

Description: ：本文以扩频理论为基础，用 M A T L A B 对直接序列扩频通信系统进行了仿真。系统中扩频编码采用 m序列，整个系统采用 Q P S K调制方式，接收端同步捕获过程采用数字匹配滤波器的原理。在给定的仿真条件下，对仿真程序进行了运行测试，得到了预期的仿真结果。
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[SourceCode] G-P法计算关联维数

Description: 运用G-P法计算分形数据关联维数的Matlab程序，适用于一维时间序列。希望对大家做分析有用。
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[Mathimatics-Numerical algorithms] 一维椭圆方程的广义差分法的matlab程序

Description: 取p=1,f=1,一维椭圆方程的广义差分程序
Platform: | Size: 296 | Author: huohaojin@yahoo.cn | Hits:

[Special Effects] image_lossless_compression

Description: 图像无失真压缩源代码，包括S+P变换，算术编码，哈夫曼编码-lossless image compression source code, including S P conversion, arithmetic coding, Huffman coding
Platform: | Size: 25600 | Author: 孙文方 | Hits:

[AI-NN-PR] BP-hanshu

Description: B-P算法对函数的拟合程序-B-P algorithm to function fitting procedures
Platform: | Size: 1024 | Author: 王暄 | Hits:

[AI-NN-PR] hopfild1

Description: Hopfield 网——擅长于联想记忆与解迷路实现H网联想记忆的关键，是使被记忆的模式样本对应网络能量函数的极小值。设有M个N维记忆模式，通过对网络N个神经元之间连接权 wij 和N个输出阈值θj的设计，使得: 这M个记忆模式所对应的网络状态正好是网络能量函数的M个极小值。比较困难，目前还没有一个适应任意形式的记忆模式的有效、通用的设计方法。 H网的算法 1）学习模式——决定权重想要记忆的模式，用-1和1的2值表示模式：-1，-1，1，-1，1，1，... 一般表示：则任意两个神经元j、i间的权重： wij=∑ap(i)ap(j)，p=1…p； P：模式的总数 ap(s)：第p个模式的第s个要素（-1或1） wij：第j个神经元与第i个神经元间的权重 i = j时，wij=0，即各神经元的输出不直接返回自身。 2)想起模式：神经元输出值的初始化想起时，一般是未知的输入。设xi(0)为未知模式的第i个要素（-1或1）将xi(0)作为相对应的神经元的初始值，其中，0意味t=0。反复部分：对各神经元，计算： xi (t+1) = f (∑wijxj（t）-θi), j=1…n, j≠i n—神经元总数 f（）--Sgn（） θi—神经元i发火阈值反复进行，直到各个神经元的输出不再变化。-Hopfield network-- good at associative memory solution with the realization of lost H associative memory networks, are key to bringing the memory model samples corresponding network energy function of the minimum. With M-N-dimensional memory model, the network N neurons connect between right wij and N output threshold j design makes : M-mode memory corresponding to the network is a state network energy function is the M-000 minimum. More difficult, it is not an arbitrary form of adaptation memory model of effective, common design methods. H network algorithm 1) mode of learning-- decision weights want memory model, with 1 and 2 of the value of a model, said :-1, 1, 1, 1 ,1,1, ... in general : two were arbitrary neuron j i weights between : wij ap = (i) ap (j), p = 1 ... p; P : The tot
Platform: | Size: 11264 | Author: 韵子 | Hits:

[Program doc] mseq

Description: m序列的生成，包括在有限域GF(p)中的基于不同p取值，不同级数条件下的本原多项式多种选择条件下的m序列生成。-m sequence generation, including in GF (p), the p value based on different, different levels under the conditions of primitive polynomial number of options under the conditions of m-sequences generated.
Platform: | Size: 3072 | Author: 李南 | Hits:

[Mathimatics-Numerical algorithms] PID Example--Inverted Pendulum

Description: The cart with an inverted pendulum, shown below, is "bumped" with an impulse force, F. Determine the dynamic equations of motion for the system, and lin earize about the pendulum s angle, theta = Pi (in other words, assume that p endulum does not move more than a few degrees away from the vertical, chosen to be at an angle of Pi). Find a controller to satisfy all of the design re quirements given below. -The cart with an inverted pendulum, shown below, is "bumped" with an impulse force, F. Determine the dynamic equations of motion for the system, and lin earize about the pendulum s angle, theta = Pi (in other words, assume that p endulum does not move more than a few degrees away from the vertical, chosen to be at an angle of Pi). Find a controller to satisfy all of the design re quirements given below.
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