pumc_11_8

用工具箱实现正弦函数的逼近，BP逼近与RBF的逼近

实现lpc脉冲编码仿真，运用matlab，有源码(LPC realize pulse code simulation, the use of matlab, has source)

matlab在信号处理中的应用,有很多例子(matlab signal processing applications, there are many examples)

数据分析各种算法程序合集,数据处理与分析成绩是我再工作学习中用到的，今天共享(used for data analysis )

标准粒子群算法，内含1个简单的适应度函数，可直接运行，没有错误(Standard particle swarm algorithm, containing a simple fitness function, can be directly run, no error)

PID比例控制，用对水箱的液位的控制，通过调节阀的流量改变，来控制液位稳定(pid)

说明：  一种快速有效、性能可靠的信号重构算法是压缩感知理论的核心部分，对于 这部分内容，许多卓有成效的研究工作正在陆续展开。从压缩感知理论提出至今， 已经出现了多种稀疏信号的重构算法。重构算法主要可以归结为三大类：贪婪算 法，凸松弛算法和组合算法。这里主要是SP算法(A fast and efficient, reliable signal reconstruction algorithm is the core of compressed sensing theory, for this part, much fruitful research work is carried out successively. From the compressed sensing theory so far, there have been many sparse signal reconstruction algorithm. Reconstruction algorithm can be summarized into three main categories: the greedy algorithm, convex relaxation algorithms and combinatorial algorithms. This algorithm is mainly SP)

特征提取是模式识别中最重要的一个部分，这里提供的matlab代码计算一些基本的话音特征，而且，提供了一个简单的基于直方图的特征分类方法的实现。基本的特征包括：特征统计、Energy Entropy Standard Deviation (std)、均值信息熵、过零率检测、频谱衰减等等六个特征(Pattern recognition feature extraction is the most important part, here' s matlab code to compute some basic voice features, but also provides a simple classification method based on histogram characteristics of the implementation. Basic features include: Features and Statistics, Energy Entropy Standard Deviation (std), mean entropy, the zero-rate detection, attenuation, and so the six characteristics of the spectrum)

this folder contain universal dataset for classification

整理网上matlab环境元胞自动机18个源程序，全部调试通过。对广大matlab用户研究了解元胞机有重要参考价值。(collected cellular automata 18 matlab source, which has an important value of reference for Matlab users.)