ACA_TSP

dsb通信系统调制程序调制载波的波形和频谱分析(dsb demolution)

主要有以下文件 MATLAB程序设计 介绍MATLAB概述与运算基础 matlab讲义 文件操作 绘图功能(mainly in the following documents MATLAB procedures outlined MATLAB Design and Operational basis matl ab overhead graphics file manipulation functions)

基于MATLAB的重力固体潮理论值计算,适合初学者学习的。(The theoretical calculation of the tidal gravity based on MATLAB, suitable for beginners to learn.)

传统的宽带信号中抑制正弦干扰的方法是采用陷波器(notch filter),为此需要精确知道干扰正弦的频率.然而当干扰正弦频率是缓慢变化时,且选频率特性要求十分尖锐时,则最好采用自适应噪声抵消的方法.下图是用一个二阶FIR的LMS自适应滤波器消除正弦干扰的一个方案。该代码实现了以下功能： 1) 借助MATLAB画出了滤波器的误差性能曲面和误差性能曲面的等值曲线； 2） 给出了最陡下降法以及LMS算法的计算公式； 3） 用MATLAB产生了方差为0.05, 均值为0白噪音S(n)，并画出某次采样得到的波形； 4） 根据 2）中的公式，并利用 3）中产生的S(n)，在 1）中的误差性能曲面的等值曲线上叠加画出了采用最陡下降法以及LMS法时H(n)的在叠代过程中的轨迹曲线； 5）用MATLAB计算并画出了LMS法时误差随时间n的变化曲线（对应S(n)的某一次的一次实现）和e(n)波形； 6）在 1）中的误差性能曲面的等值曲线上，叠加画出采用LMS法得到的100次实验中的H(n)的平均值的轨迹曲线； 7）最终对结果进行了分析，具体见压缩包的word文档。 (Wideband signal in the conventional sinusoidal interference suppression method is the use notch filter (notch filter), this requires precise knowledge of the frequency of a sinusoidal interference . However, when the interference frequency sinusoidal changes slowly , and the selected frequency characteristic requirements are very sharp , then best use of adaptive noise cancellation method . following figure is a second-order FIR LMS adaptive filter to eliminate a program sinusoidal interference . The code implements the following functions:   A ) draw with MATLAB error performance of the filter surface and the surface contour error performance curve 2 ) gives the steepest descent method and the LMS algorithm formula 3 ) generated using MATLAB variance of 0.05 with a mean of 0 white noise S (n), and draw a particular sampling waveform 4 ) based on 2 ) of the formula , and use 3 ) generated in S (n), in a ) the error performance curves superimposed on the surface contour pl)

一篇课程论文，介绍滚动轴承的故障诊断，有详细的matlab程序(A course papers, on the rolling bearing fault diagnosis, detailed matlab program)

Genetic Algorithm + Neural Network for caracteristic optimization(Genetic Algorithm+ Neural Network for caracteristic optimization)

说明：  是关于sigma delta PLL设计的详细论文，论文中有具体的设计细节，并在附录中有相应的matlab、vhdl code(Is about the design of sigma delta PLL detailed papers, papers in the specific design details, and in the appendix corresponding matlab, vhdl code)

基于matlab环境下的磷酸化鉴定系统的实现。(Based on the Matlab environment phosphorylation identification system implementations.)

语音去噪LMS自适应滤波算法,利用LMS自适应滤波算法进行语音去噪(Speech Denoising LMS adaptive filtering algorithm, using LMS adaptive filtering algorithm for voice denoising)

input: fun x(t) t min & t max a df T = t_max-t_min fs = a*1/T 输入1：方程，xt；输入2，3：信号起始时间；输入4：选取的采样周期是信号长度倒数的倍数， 默认为50；输入5：频域分辨率，默认为0.3 输出频域信号和频域范围 为了提高fft的速度，频域信号长度是2的次方( Input: fun x (t) t min & t max a df T = t_max-t_min fs = a* 1/T Input 1: Equation XT input 2,3: signal start time input 4: select the sampling period is the reciprocal multiples of the signal length, default is 50 input 5: frequency domain resolution, default is 0.3 of the output frequency domain signal and the frequency domain in order to improve the speed of the FFT, the frequency domain signal length is a power of 2)