format_burst

Principle Component Analysis

最速降模型是泛函分析中的一个经典问题，这里给出了求解该问题的Matlab解法。(Steepest Descent Method)

本程序将时域数据转换为频域（功率谱密度），方便数据的处理和分析。(The program time-domain data is converted to the frequency domain (power spectral density), to facilitate the processing and analysis of data.)

演示在给定初始位置和速度（含大小和方向）下verlet三粒子体系的二维演化运动情况(Demonstration verlet at a given initial position and velocity (including magnitude and direction) under the three-dimensional evolution of the particle system movement)

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基本蚁群聚类算法及其改进算法[带Matlab源代码] 该算法，解决了不收敛的问题，聚类效果非常好（效果图如附件图片所示）。 改进的蚁群算法是基于遗传算法的改进，在基本遗传算法的基础之上，加入了变异因子， 产生变异，从而更快的收敛。 (The basic ant clustering algorithm and its improved algorithm with Matlab source code of the algorithm to solve the non-convergence problems, the clustering effect is very good (image such as shown in the attached images). Improved ant colony algorithm is a genetic algorithm-based improvements in the basic genetic algorithm based on the added factor of variation, mutation, and thus faster convergence.)

对数据进行傅立叶分析，从时域转换到频域，观察信号的频谱结构，从分析信号的特点(Fourier analysis of the data, the time domain to the frequency domain, spectral structures of the observed signal, the signal characteristics the analysis)

Eye pattern MATLAB code

Implementation of face recognition with neurol network

电子通信系统的建模与仿真 第5章 数字通信系统的仿真 5.1 概述 5.2 信源 5.3 信源编码 5.4 调制技术（模拟调制） 5.5 调制技术（数字调制） 5.6 多元调制仿真 5.7 差错控制 5.8 交织与置乱 5.9 频率合成 5.10 多址技术 5.11 信道仿真 (Electronic communications system modeling and simulation of Chapter 5 of Digital Communication System Simulation 5.1 overview 5.2 Source 5.3 Source Coding 5.4 modulation technique (analog modem) 5.5 modulation technology (Digital Modulation) modulation over 5.6 yuan simulation 5.7 Error Control 5.8 intertwined with Purchase 5.9 Frequency Synthesizer chaotic sites more than 5.10 channel simulation technology 5.11)