Matlab-Toolbox-application-guide

Decision Trees and Predictive Models with cross-validation and ROC (Receiver Operating Characteristic) analysis plot

MATLAB Tutorial This tutorial is available as a supplement to the textbook Fundamentals of Signals and Systems Using Matlab by Edward Kamen and Bonnie Heck, published by Prentice Hall. The tutorial covers basic MATLAB commands that are used in introductory signals and systems analysis. It is meant to serve as a quick way to learn MATLAB and a quick reference to the commands that are used in this textbook. For more detailed information, the reader should consult the official MATLAB documentation. An easy way to learn MATLAB is to sit down at a computer and follow along with the examples given in this tutorial and the examples given in the textbook.

汽车整车模型的分析，主要是垂向加速度和侧倾角速度的分析。(Automobile model analysis, analysis of the vertical acceleration and the roll angular velocity.)

说明：  matlab应用于神经网络：利用BP算法及Sigmoid函数，研究函数的逼近问题。(matlab applied to neural networks: the use of BP algorithm and Sigmoid function is to study the function approximation problem.)

利用滑模变结构在60秒之内实现倒立摆的摆起控制和稳定控制(The use of sliding mode in 60 seconds to achieve inverted pendulum swing-up control and stability control)

make ccs project by matlab

color image watermarking in r g b planes using rdwt and svd

在matlab平台上使用SVM对iris数据集进行分类(use SVM Classification of Iris data set in matlab)

matlab实现傅里叶变换和傅立叶反变换(Implement fft and ifft)

通信原理课程设计报告_2FSK调制与解调系统设计与仿真(Courses design report _2FSK of Communication Theory modulation and demodulation system design and simulation)