Matlab_fundamental_applied

duffing混沌阵子系统的matlab仿真图。通过参数选择实现无噪声，白噪声，色噪声条件下的微弱信号检测。(duffing matlab simulation of chaotic time around the system map. Through the parameters to achieve,no noise, white noise, colored noise of the weak signal detection.)

最速降模型是泛函分析中的一个经典问题，这里给出了求解该问题的Matlab解法。(Steepest Descent Method)

找到的另一种基于DCT变换的数字水印算法 matlab源码(digital watermarking)

一个音符起点检测程序，其中使用了非负矩阵分解以提取特征减少运算量(NOTE ONSET DETECTION USING NMF)

利用Mersenne Twister算法产生随机数，并测试和分析了其随机性。 程序中还加入了界面显示。 各个文件为： initGenerator.m： initGenerator函数，用于初始化随机序列的长度和值 generateNum.m: generateNum函数，当index为0时被调用，用于创建624维的移位寄存器数组 extractNum.m: extractNum函数，根据index当前值选择数组中的数生成随机数，同时改变index的值。 main.m: main主函数，输入种子seed和产生数目total，输出产生结果及随机性测试结果 mymy.m和mymy.fig: 用于界面显示的部分，这两个文件会通过界面传入seed和total的值，并调用main函数，在相应的框中显示输出结果。 (According to the algorithm principle on Wikipedia, the Mersenne Twister algorithm to generate random numbers, and test and analysis of its randomness. The program has also joined the interface display. The individual files are: initGenerator.m: initGenerator function used to initialize the random sequence length and value generateNum.m: generateNum function is invoked when the index is zero, and used to create a 624-dimensional shift register array extractNum.m: extractNum function, according to index the current value to select the number to generate random numbers, and change the value of the index in the array. main.m: main function of the input seed to seed and produce the number of total, the output generated results and the randomness of the test results mymy.m and mymy.fig: Part of these two files for interface display interface incoming seed and the total value of, and calls the main function, to display the output in the appropriate boxes.)

gerar pontos em matlab para matrizes

主要介绍了matlab的一些简单的命令，和它的功能以及使用方式，非常适合初学者。(Matlab introduces some simple commands, and its features and use, ideal for beginners.)

matlab实现的粒子滤波器源代码，多若干实例并有与Kalman滤波器性能的比较(realize the particle filter matlab source code, and more with some examples and compare the performance of Kalman filter)

Solving TSP using Neural Networks

GUI with Matlab。Written By: Yair Moshe。GUI with Matlab - Outline 1. Basic Graphics 2. Animation 3. Handle Graphics Objects 4. Creating GUI using GUIDE(GUI with Matlab。Written By: Yair Moshe。GUI with Matlab- Outline 1. Basic Graphics 2. Animation 3. Handle Graphics Objects 4. Creating GUI using GUIDE)