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基于混沌理论构建的信号检测系统具有敏感微弱周期信号和对噪声有强免疫力的特点,用于微弱信号检测领 域优势明显。实验室内研究需要产生包括混沌噪声在内的各种噪声,并叠加微弱周期信号作为微弱信号检测系统的信号 源。介绍一种基于LabVIEW平台并结合Matlab计算模块的混沌噪声发生器,可产生典型的3种混沌噪声:Logistic,Duff2 ing,Lorenz形式。该发生器将LabV IEW易于接口实现和Matlab计算精度高、编程简捷的特点相结合,具有结构清晰、通用 性强、易于实现、使用方便的特点。 (Built based on chaos theory, sensitive signal detection system with weak periodic signal and has a strong immunity to noise characteristics of the area for weak signal detection have obvious advantages. Laboratory studies need to generate, including noise, chaos, including a variety of noise and superimposed weak periodic signal as a weak signal detection system, signal source. Introduction of a platform based on LabVIEW and Matlab calculation module with the chaotic noise generator can produce the typical three kinds of chaotic noise: Logistic, Duff2 ing, Lorenz form. The generator will be LabV IEW easy interface, and Matlab calculation of high accuracy, simple programming features combined with a clear structure and versatility, easy to implement, easy to use features.)

实验数据，可用于仿真，或科学研究分析，用Matlab 打开(Exp data)

基于拉格朗日插值法的可变分数延时滤波器比较图，通过比较不同的分数时延时的滤波器特性来观察分数延时滤波器的性质与限制(Lagrange interpolation method based on variable fractional delay filter comparison chart, filter characteristics by comparing the scores of different delay time to observe nature and limitations of fractional delay filter)

一个直流电机的，运用simscape的物理建模方法搭建的直流电机模型，相比simulink搭建的更简单(A DC motor, the use of simscape physical modeling method to build the DC motor model, compared to simulink to build a more simple)

本程序是用Matlab编写的用KNN算法解决文本分类问题的程序。(The program is written in Matlab using KNN algorithm to solve the text classification procedures.)

自适应滤波LMS demo，适合初学者学习自适应滤波理论(Adaptive filtering demo, suitable for beginners to learn adaptive filter theory)

这是用来仿真无线定位技术的算法源程序，希望可以帮到大家(This algorithm is used to simulate wireless location technology source, I hope you can help)

基于MATLAB的线性调频信号产生和频谱分析，某雷达参数数下的模糊函数及自相关函数仿真分析。，已通过测试。 (MATLAB linear FM signal generator and spectrum analysis, the number of parameters of a radar ambiguity function and autocorrelation function of simulation analysis. , Has been tested.)

DC-DC Buck converter

当信噪比较大时，采用广义最小二乘法可能会出现多个局部收敛点，解决这个问题的方法可用多级最小二乘法，一般来说多级最小二乘法包含三级辨识过程。利用输入输出数据，通过多级最小二乘法，可分别求的辅助模型，过程模型和噪声模型的参数估计值。在高噪声的情况下，多级最小二乘法明显优于广义最小二乘法，其收敛点唯一。(When the signal noise ratio (SNR), and by use of the generalized least squares method may appear more local convergence point, the way of solving this problem can be used multistage least squares method, and generally multistage least squares method includes three identification process. Using input/output data, through the multistage least squares, respectively for the auxiliary model, process model and noise model parameter estimation. In the high noise, multistage least squares method is obviously superior to the generalized least squares method, and its convergence point only.)