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main
这是一个基于颜色直方图的粒子滤波目标跟踪的主程序，比较完整，供大家参考(This is a color histogram based particle filter tracking the main program, more complete, for your reference)
- 2011-05-22 10:54:08下载
- 积分：1
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matlab-introduction
关于matlab入门的一本书籍，的确很好用，希望能对大家有帮助(matlab introduction)
- 2011-11-18 19:49:47下载
- 积分：1
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Square-wave-noise-cancellation
此例程为配套书籍的第六章例题6-10的相对应代码，功能为方波消噪示例，编程环境为matlab。(This routines is for the supporting books of the for Chapter VI Example 6-10 the the relative should be of code, function de-noising of the is a square wave Example, programming environment for the the matlab.)
- 2013-05-02 18:39:38下载
- 积分：1
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MATLAB-An-Introduction-with-Applications
MATLAB: An Introduction with Applications 4th Edition
- 2015-03-25 10:36:55下载
- 积分：1
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LTP是LBP的改进，可以更好的提取纹理特征ProjetoPDI-master
LTP是LBP的改进，可以更好的提取纹理特征(The LTP is more efficent than LBP)
- 2018-05-13 15:28:21下载
- 积分：1
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untitled
说明： 基于PID控制的永磁同步直线电机速度控制系统，输出速度能够较好的跟踪输入信号，控制效果比较理想(The speed control system of permanent magnet synchronous linear motor based on PID control can track the input signal better, and the control effect is ideal.)
- 2019-04-24 21:43:31下载
- 积分：1
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matlab.frequency
产生中频和高频信号及其相应滤波器，并对其进行滤波和分析(Intermediate frequency and high frequency signal generated and its corresponding filter and its filtering and analysis)
- 2008-03-08 08:53:00下载
- 积分：1
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mallatsuanfa
演示了mallat算法的实现过程，包括分解与重构，原始波形用的是两个不同频率的正弦函数(Mallat algorithm demonstrated the realization of the process, including the decomposition and reconstruction, with the original waveform are two different frequency sine function)
- 2008-07-21 16:44:12下载
- 积分：1
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Matlab_shiyong
matlab实用教程
内容详细
可以作为手册使用(matlab tutorial and detailed
can be used as a cookbook)
- 2011-04-23 09:09:13下载
- 积分：1
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classical_music_2
MUSIC算法[1]是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。(MUSIC algorithm [1] is a feature space based on matrix decomposition method. From the geometric point of view, the signal processing can be decomposed observation space the signal subspace and the noise subspace, it is clear that the two spaces are orthogonal. Signal Subspace data received by the array covariance matrix and eigenvectors corresponding to the signal component, the noise subspace from the covariance matrix of all the smallest eigenvalue (noise variance) eigenvector components.)
- 2013-09-15 20:26:53下载
- 积分：1
