signal-and-system-with-matlab

说明：  非常实用的OFDM matlab程序，只有一个m文件，程序简单易懂，包括完整的OFDM调制解调过程，能够正确运行，对OFDM的初学者非常有帮助。(Very useful OFDM matlab program, there is only one m file, the program simple and easy to understand, including the complete OFDM modulation and demodulation process to run correctly on the OFDM beginner very helpful.)

独立成分分析（ICA）是最近开发的方法，它的目标是找到一种nongaussian等数据的线性表示 该元件是统计独立的或尽可能独立。应用包括信号特征提取与分离数据的基本结构。 在本文中，我们提出的基本理论和ICA的应用，以及我们对这个问题的近期工作。(Independent component analysis (ICA) is a recently developed method in which the goal is to find a linear representation of nongaussian data so that the components are statistically independent, or as independent as possible. Such a representation seems to capture the essential structure of the data in many applications, including feature extraction and signal separation. In this paper, we present the basic theory and applications of ICA, and our recent work on the subject)

利用三电平中心削波自相关法实现清、浊音判定，并提取一段话音的基频参数，绘制基频曲线，并将该参数曲线合并到前面提取的短时过零率和短时能量参数曲线图中(Using a three-level center clipping from the relevant law to achieve clear, voiced determination, and extract some of the fundamental parameters of the voice, drawing the fundamental frequency curve and merge the parametric curve to the front of the extraction rate and the short-term zero short-term energy parameters graph)

说明：  运用随机森林方法对数据进行建模，可以用模型进行预测与分类(Random forest prediction and classification)

ABODEP Analog (continuous-time) Bode plot

说明：  用四阶古典RK方法解初值问题： 取h=1/8。每隔8步打印出数值解与真解的值（u(t)=(t^2)/2-t），画出它们的大致图像，并对产生的结果做出解释。 (with four bands classical RK method for initial value problems : from h = 1/8. Every eight-step numerical solution print and in the true value (u (t) = (t ^ 2)/2-t), they generally draw the images, as well as the results of an explanation.)

本程序实现了语音信号中的信息隐藏，采用DCT和LSB方法。(the information hiding technique is completed with the carrier of voice signal.)

performance improvement with different codes

This is a matlab program. It will implement the estimation and testing procedures for a Markov switching parameter model as presented in B. Hansen "The likelihood ratio test under non-standard conditions: Testing the Markov trend model of GNP."

双馈电机的仿真模型，其中双馈电机是自己根据双馈电机的电气四阶微分方程搭的，用的不是matlab/simulink自带的。(DFIG simulation model，realized by forth order ODEs.)