Muscle_Track_v1

Matlab_Simulink模型到C_C_代码的自动实现(Matlab_Simulink model to C_C_ code automatically)

基于 MATLAB 的时域信号采样及频谱分析 基本要求：① 掌握数字信号处理的基本概念、基本理论和基本方法； ② 学会 MATLAB 的使用，掌握 MATLAB 的程序设计方法； ③ 学会用 MATLAB 对信号进行分析和处理； ④ 信号的各参数需由键盘输入，输入不同参数即可得不同的x(t) 和x(n)； ⑤ 撰写课程设计论文，用数字信号处理基本理论分析结果。 (MATLAB-based time-domain signal sampling and spectral analysis of the basic requirements: ① to grasp the basic concepts of digital signal processing, basic theory and basic methods ② learn the use of MATLAB, MATLAB programming method to master ③ learn to use MATLAB to analyze the signal and processing ④ signal parameters to be input from the keyboard, the input parameters can be different in different x (t) and x (n) ⑤ thesis writing course design, with the basic theory of digital signal processing analysis.)

张正友标定算法的matlab程序实现摄像机的内外参数的标定(Zhang Zhengyou calibration algorithm matlab program)

说明：  利用Dijkstra算法来求网络图的最短路径，找到从起点P1到终点Pn的最短路径，由于上述算法使用了连接线中点的条件，不是整个规划空间的最优路径，然后利用遗传算法对找到的最短路径各个路径点Pi (i=1,2,…n)调整，让各路径点在相应障碍物端点连线上滑动(Use Dijkstra algorithm to find the shortest path network diagram to find the starting point P1 to the end of Pn from the shortest path algorithm is used as the midpoint of the condition of cable, not the entire optimal path planning of space, and then use genetic algorithm to find shortest path of each path points Pi (i = 1,2, ... n) adjusted to the path of obstacles in the corresponding endpoint connection point slide)

This source code describes the minimum frequency seperation between two signals to be orthogonal with two cases for phase differences

Easy C reference for C beginner

说明：  MATLAB实用教程第2版程序源码讲解很明白(Understand very well explain)

简单的信道化处理信号，输入不同的信号中心频率点会得到不同信号的输出从而分离出输入信号，代码较简单直观(Simple channel processing signal, the input signal different center frequency will be output different signals to separate the input signal, the code is relatively simple and intuitive)

伽玛变化方面的程序，我找了很久迎合了影像处理理论与实际这本书中的实例希望对大家有所帮助。(Gamma-change procedure, I find for a long time to meet the image processing theory and practical examples of this book to all of us want to be helpful.)

说明：  小波神经网络 基于交通流量的预测 具有很强的模型转换能力(Wavelet neural network traffic prediction based on model transformation has a strong ability to)