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H桥控制的simulink仿真模型，可以作为直流电机控制系统设计的参考模型(H-bridge control of the simulink simulation model can serve as a DC motor control system design reference model)

fMRI算功能网络。输入资料为90个AAL脑区的BOLD均值，输出为二值网络(fMRI count function network. The input data for AAL 90 brain regions the BOLD mean, output binary network)

本书专为大学自动控制、机械电子、机械制造与自动化、电力电气、通信工程等专业大 学本科生、研究生、教师、科技工作者编写。本书力图将信号分析与处理、信号与系统、数字 信号处理、工程测试等有关教学内容和MATLAB语言紧密、有机地结合起来，使学生在 学习基础理论知识的同时学会应用MATLAB，在学习应用MATLAB的同时，加深对基 础知识的理解，增强学生的计算机应用能力，提高教学效果。本书编入大量MATI‘AB应 用程序，每章也有一定的数量习题，供读者能尽快掌握MATLAB的编程技巧。(This book is designed for the University of automatic control, mechanical, electronic, mechanical manufacturing and automation, electrical power, communications, engineering and other professional undergraduates, graduate students, teachers, scientists and write. This book seeks to signal analysis and processing, signals and systems, digital signal processing, engineering, testing and other relevant teaching content and MATLAB language closely, organically combine to make the students learn basic theoretical knowledge at the same time learn to use MATLAB, MATLAB in learning applications at the same time, deepen their understanding of the basics, enhance their computer skills to improve teaching effectiveness. Incorporated into the book a lot MATI' AB applications, each chapter there is a certain number of exercises for the reader can quickly grasp the MATLAB programming skills.)

MATLAB中利用SUSAN实现边缘检测(The use of MATLAB to achieve SUSAN edge detection)

摄影测量中的前交后交方法计算出实地三维坐标(Photogrammetry and submit it before the delivery method to calculate three-dimensional coordinates of the field)

最强大的QPSK、16QAM程序，可以生成QPSK、16QAM程序的Matlab仿真程序，注释十分详细，可直接运行或调用使用！已测试，可使用！(The most powerful QPSK, 16QAM program that can generate QPSK, 16QAM program Matlab simulation program, very detailed comments can be run directly or call use! Have been tested, you can use!)

Overview The Simulink model shows an example how the Kalman Filter can be implemented in Simulink. The model itself is configured with a Gaussian process connected with a Kalman Filter. To directly use this model, one only needs to provide model prarameters including parameters of the Gaussian process, which are state space matrices, A, B, C, and D, initial state, x0, and covariance matrices, Q and R and similar parameters for the Kalman Filter, which can be in different values to mimic the model mismatch, plus the state covariance, P. The following examples show how this model can be used. The Kalman Filter can also be used as a standard model block to be connected with any other systems

Mathlab primer - guide book

modelisation de la MSAP a vide et en charge matlab + resultat

Electronics and Circuit Analysis with MATLAB