Detailed explanation of MATLABSimulink communication system modeling and simulation (Liu Xueyong) video accompanying the book
Total of 13 lessons15 hours and 53 minutes and 35 seconds
simulink video tutorial
Total of 61 lessons22 hours and 6 minutes and 17 seconds
The basics chapter introduces MATLAB basics, array and matrix analysis, and string analysis; the scientific operations chapter introduces MATLAB data analysis, integral and differential operations, probability and mathematical statistics, and symbolic calculations; the data visualization chapter introduces the visualization of two-dimensional and three-dimensional data ; The programming chapter introduces basic MATLAB programming, program debugging and programming skills; the simulation chapter introduces basic knowledge of Simulink, Simulink modeling and S-functions; the advanced application chapter introduces GUI programming development, GUIde tool to create GUI interface, folder management and File I/O operation, MATLAB compiler; toolbox and interface programming chapter introduces four toolboxes such as signal processing, wavelet analysis, image processing, and neural network, and also introduces the interface technology between MATLAB and Word and Excel.
Total of 23 lessons1 days and 27 minutes and 39 seconds
Digital image processing matlab version Shandong University open course
Total of 57 lessons22 hours and 4 minutes and 42 seconds
"MATLAB Intelligent Algorithm 30 Case Analysis" is a summary of the author's years of experience in algorithm research. All cases in the book are carefully designed based on the personal needs of netizens in major domestic MATLAB technology forums. Many of the cases involve content and solution methods that are rarely introduced in MATLAB books published in China. "MATLAB Intelligent Algorithm 30 Case Analysis" adopts the form of cases and takes intelligent algorithms as the main line to explain the most commonly used intelligent algorithms such as genetic algorithm, immune algorithm, annealing algorithm, particle swarm algorithm, fish swarm algorithm, ant colony algorithm and neural network algorithm. MATLAB implementation of the algorithm.
Total of 30 lessons20 hours and 43 minutes and 11 seconds
Learn about brushless DC motor control. You will learn about the inner workings of BLDC and six-step commutation (trapezoidal control). The video will cover some examples that will show how to simulate a BLDC to study its back EMF shape and design a speed controller.
Total of 4 lessons39 minutes and 47 seconds
Explain the use of matlab for automatic control simulation
Total of 24 lessons8 hours and 51 minutes and 14 seconds
Use matlab simulink for simulation and control of quadcopter
Total of 1 lessons40 minutes and 3 seconds
Engineering testing technology is a professional basic course for mechanical majors. The content involves various common physical quantities in the fields of industrial automation, mechanical processing, building control, transportation, modern agriculture and medical instruments, such as: temperature, sound, brightness, pressure, magnetic field strength, Sensor measurement principles such as distance and vibration; as well as commonly used measurement signal analysis methods such as waveform analysis, spectrum analysis, amplitude domain analysis and correlation analysis of sensor measurement signals. In addition, it also includes knowledge of sensor signal amplification, signal modulation and demodulation, signal filtering and computer virtual instruments.
Total of 59 lessons13 hours and 32 minutes and 29 seconds
The MATLAB image processing toolbox is one of the most popular image processing tools at present, and its functions can effectively implement various image algorithms. From a practical perspective, this video introduces MATLAB's various image processing functions in detail, including image display, drawing, image type conversion, image user interface, spatial transformation, image statistics, image algebraic operations, image enhancement, deblurring, filtering transformation, morphology Learning operations, block and neighborhood operations, color space transformation functions, etc.
Total of 253 lessons8 hours and 38 minutes and 38 seconds
First, it briefly introduces the use of MATLAB software and commonly used built-in functions, and then introduces different types of neural networks such as BP network, radial basis network, self-organizing network, feedback network, etc., and gives examples at the end of each chapter. .
Total of 11 lessons9 hours and 53 minutes and 49 seconds
This course brings together the most frequently used functions in MATLAB, including basic operation functions, neural network functions, graphical user interface GUI functions, etc. It is taught in units of knowledge points and in an order from easy to difficult, allowing you to easily learn MATLAB
Total of 268 lessons11 hours and 46 minutes and 46 seconds
This course will learn the basic programming ideas and methods of Matlab, a modern scientific computing and system simulation language, and use Matlab to conduct computer simulation experiments and numerical calculations on the basic courses learned, and conduct modeling and simulation of electromechanical systems, and The simulation results can be drawn into two-dimensional and three-dimensional graphics. Ability to build SIMULINK simulation models of the system.
Total of 43 lessons7 hours and 46 minutes and 45 seconds
This tutorial mainly teaches the basic concepts, basic theories and typical technologies of information transmission. The lecturer is Professor Li Xiaofeng, director of the Department of Communication Engineering, School of Communication, University of Electronic Science and Technology of China.
Total of 39 lessons1 days and 2 hours and 56 minutes and 32 seconds
MATLAB Arduino technical training.
Total of 23 lessons2 hours and 22 minutes and 38 seconds
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