mds

求解锯齿信号的Fourier级数 利用了Fourier变换(Find Fourier Series Approximation The FFT is used. Choose sufficient harmonics to minimize aliasing)

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NIT工具箱升级版，包括二重积分的任意区间（采取的是高斯-勒让德积分）(NIT toolbox )

说明：  实验一：基于LMS算法的“苹果-橘子”分类问题 实验二：基于LMS算法的T-G-F字符识别问题 通过以上两个实验，了解ADALINE网络的结构及计算机制，掌握LMS算法，并会利用该算法来解决简单的模式分类问题。1， 学习ADALINE网络的基本结构及其学习机制，并在Matlab中实现 2， 分别对上述两类分类问题进行实现，并根据实验结果完成实验报告 (Experiment 1: Based on LMS Algorithm Apple- Orange classification issues Experiment two: TGF-based character recognition problem LMS algorithm Through the above two experiments to understand the structure and computer network system ADALINE, master LMS algorithm, and will use the algorithms to solve simple pattern classification problem. 1, learn the basic structure and learning mechanism ADALINE network and to achieve in Matlab 2, respectively, for these two types of classification problems were implemented and completed in accordance with the experimental results of test report)

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创建一个实现FFT算法的DSP工程，并给工程中加入源文件、库文件和链接命令文件观察输入、输出数据的频谱； 改变FFT的点数，观察结果； 通过Profile分析算法的运行时间。 (FFT algorithm to create a realization of the DSP project, and add to the project source files, library files and link observation command file input and output data of the spectrum change FFT points, observation results through the Profile of the run-time analysis algorithms.)

pipelined ADC, 各种参数可调，最后包括fft分析和整个传输曲线(pipelined ADC, adjustable parameters, and finally including the entire transfer curve analysis and fft)

对于雷诺方程的求解和绘制滑动轴承的压力分布图，自带测试数据，点击可运行(a kind of solution of reynolds equation and the picture of pressure )

通过4阶龙格库塔方法求解混沌系统的微分方程(Through four order Runge-Kutta method for solving differential equations of chaotic systems)

功放预失真模型，基于数字预失真的功放模型设计(Predistortion power amplifier model, based on the model of digital pre-distortion power amplifier design)