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kalmantrackingcode
基于kalman滤波的目标跟踪代码，用matlab实现了对目标的跟踪。(Kalman filter based target tracking code, matlab achieve the target tracking.)
- 2021-02-05 10:19:57下载
- 积分：1
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PSOPID_ASP
this is PSO algorithm code that integrated with PID controller. This code example has been used for ASP system.
- 2013-12-26 10:11:20下载
- 积分：1
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A-Flexible-Sensor-mat-to-Automate-the-Process-of-
matlab design file for power system project
- 2012-01-24 21:07:10下载
- 积分：1
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make_avi_movie_example1
基于matlab的小程序，用于生成移动的正弦波。对其他基于matlab的视频制作和动画设计也有一定的借鉴意义。(a matlab code for generating moving sine wave, and may be useful for other video-making or design on the matla platform.)
- 2014-10-04 14:22:51下载
- 积分：1
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MATLAB
MATLAB控制系统仿真与实例详解（附书光盘）(Control System Simulation with MATLAB examples explain (with the book CD-ROM))
- 2009-05-20 16:31:16下载
- 积分：1
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myhisteq
自己编写的matlab中的简易imhist函数(I have written matlab easy imhist in function)
- 2013-04-02 21:56:22下载
- 积分：1
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Gray-prediction
灰色预测的matlab程序，用于评价问题(Gray prediction matlab program for Evaluation)
- 2013-05-18 22:44:35下载
- 积分：1
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pmsm_spwm
说明： 电机控制仿真例子，用于永磁同步电机的spwm控制对初学者友好，欢迎下载参考，学习交流使用(Motor control simulation example, SPWM control for permanent magnet synchronous motor is friendly to beginners, welcome to download reference, learn to use AC)
- 2021-04-16 16:28:53下载
- 积分：1
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fangzhen
实验一 双极性矩形随机信号的归一化功率谱密度一
1.1 功率谱密度简介
平稳过程的任何一个非零样本函数的持续时间为无限长，显然都不满足绝对可积和总能量有限的条件。因此，它的傅里叶变换不存在即没有频谱函数。所以我们用功率谱密度来表述其频谱特性。
随机过程的任一实现是一个确定的功率型信号。而对于任意的确定功率信号f(t)，它的功率谱密度为：
式中， 是f(t)的截短函数 对应的频谱函数。f(t)是平稳随机过程 的一个实现。而随机过程某一个实现的功率谱密度不能作为过程的功率谱密度。过程的功率谱密度应该看作是任一实现的功率谱密度的统计平均，即
虽然该式给出了平稳随机过程的功率谱密度，但我们通常都不利用这个式子来计算功率谱。我们知道，确知的非周期功率信号的自相关函数与功率谱密度是一对傅里叶变换。对于平稳随机过程，也有类似的关系，即
和
对于平稳随机过程我们通常先求出其自相关函数再利用上式求出其功率谱密度。
1.2 实验要求
1.了解平稳随机信号功率谱的概念及计算方法
2.仿真不同占空比，等概、非等概双极性矩形随机信号的归一化功率谱密度
3.分析不同信号所包含的频谱分量，有无直流分量和定时分量信息
(A pair of rectangular random experiment polarity signal sample return a nonzero function of any duration power spectral density of a 1.1 power spectral density of a stationary process Introduction of infinite length, apparently not satisfied absolutely integrable and the total energy of the limited conditions. Therefore, it is the Fourier transform of the spectrum that does not function does not exist. Therefore, we use the power spectral density to express their spectral characteristics. Any random process is a realization of a certain type signal power. For arbitrarily determined power signal f (t), its power spectral density is: wherein, is f (t) is a function corresponding to the truncated spectrum function. f (t) is a stationary random process of realization. The random process to achieve a certain power spectral density can not serve as the power spectral density of the process. Power spectral density process should be seen as a statistical average power spectral density of any r)
- 2014-11-30 20:39:29下载
- 积分：1
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[Proakis-_Salehi]_Contemporary_Communication_Syst
it is matlab code and is for systems and signals
by porakis that is very good for all
- 2013-11-05 23:19:06下载
- 积分：1
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