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ParzenPNN
Matlab PNN network with realization using simple console
- 2009-03-28 21:27:24下载
- 积分：1
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Conv
二维卷积运算 能够实现图片的卷积处理 绝对原创(Absolute original two-dimensional convolution)
- 2010-02-03 11:20:43下载
- 积分：1
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pll
本文讲述锁相环的工作原理，锁相环路实际上是一个相差自动调节系统。(This article describes the working principle of PLL, PLL is actually a difference between the automatic adjustment system.)
- 2011-01-09 20:25:55下载
- 积分：1
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growcut
图割matlab和C++源代码，自带一个例子！(Grow cut matlab source code)
- 2014-09-05 09:14:36下载
- 积分：1
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MATLAB-Programming
This document describe matlab computing environment: Engineering, Technical Computing,Files and File Management,Mathematical Functions and Applications,DataAnalysis and other.
- 2013-12-10 06:15:23下载
- 积分：1
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IO_VMD
仿照EMD的分解层数确定方法，用以优化VMD的分解层数K(The method of determining the number of decomposition layers according to EMD is used to optimize the decomposition level of VMD K)
- 2020-12-03 22:09:25下载
- 积分：1
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LPC_fin_speech
用线性预测编码进行语音压缩 - Speech compression using Linear Predictive Coding(LPC is the oldest and the most basic of modern speech coders. Its a lossy scheme. Playback quality isn t preserved in the process but it can be used in low bit-rate systems.)
- 2010-08-09 11:24:41下载
- 积分：1
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22
说明： 语音识别关键性技术的MATLAB仿真实现.pdf(Voice recognition key technologies MATLAB simulation. Pdf)
- 2013-01-03 12:19:58下载
- 积分：1
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HHT_spp
完整的希尔伯特时频谱程序，可直接运行查看结果，对EMD初学者很有帮助，内附HHT源码。(A complete Hilbert spectrum program, which can be run directly to view the results.It is helpful to the EMD beginners.And the HHT code is enclosed.)
- 2012-05-07 09:27:35下载
- 积分：1
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13
说明： 粒子群算法（PSO）是一种基于群体的随机优化技术。与其它基于群体的进化算法相比，它们均初始化为一组随机解，通过迭代搜寻最优解。不同的是：进化计算遵循适者生存原则，而PSO模拟社会。将每个可能产生的解表述为群中的一个微粒，每个微粒都具有自己的位置向量和速度向量，以及一个由目标函数决定的适应度。所有微粒在搜索空间中以一定速度飞行，通过追随当前搜索到的最优值来寻找全局最优值。
PSO模拟社会采用了以下三条简单规则对粒子个体进行操作：①飞离最近的个体，以避免碰撞。②飞向目标。③飞向群体的中心。这是粒子群算法的基本概念之一。
粒子群算法其基本思想是受许多鸟类的群体行为进行建模与仿真研究结果的启发(Particle swarm optimization (PSO) is a population based stochastic optimization techniques. Based on evolutionary algorithms compared with other groups, they are initialized to a random solution, iterative search through optimal solution. The difference is: the principle of survival of the fittest evolutionary computation to follow, while PSO simulation community. The potential of each solution expressed as a group of particles, each particle has its own position vector and the velocity vector, and a fitness determined by the objective function. All particles in the search space at a constant speed flight, by following the current search to find the optimal values of the global optimum. PSO simulation community has adopted the following three simple rules for the operation of individual particles: ① recently departed individuals, in order to avoid collisions. ② to the target. ③ fly to center groups. This is one of the basic concepts of particle swarm algorithm. PSO algori)
- 2015-04-21 16:39:12下载
- 积分：1
