-
666
求零点、极点和增益，这是一些已经调好的实例，还有运行后的结果。(For zero, poles and gain, this is some have adjustable good examples, and after the operation result.
)
- 2011-05-04 22:46:14下载
- 积分：1
-
t1
说明： MATLAB GUI 添加图片 学习的例子程序代码(MATLAB GUI to add a picture to learn examples of program code)
- 2012-05-15 14:42:48下载
- 积分：1
-
TSP-MATLAB-CODE
用改进遗传算法求解TSP问题,并编制了完整的Matlab程序予以仿真实现.程序中选择算子采用最佳个体保存与赌轮选择相结合的策略,最后分析了最佳个体保存比例对寻优效果的影响. 更多还原
(Improved genetic algorithm for TSP, and the preparation of a complete Matlab simulation program to be achieved. Program, select the operator uses the best individual preservation and roulette wheel selection strategy of combining, the final analysis of the optimal ratio of individual saving optimization results impact. more reduction)
- 2013-12-16 09:38:02下载
- 积分：1
-
Stochastic-subspace-method
随机子空间法用于模态参数识别 能够识别频率阻尼(Stochastic subspace method for modal parameter identification )
- 2020-11-26 09:29:31下载
- 积分：1
-
Jakobijanlinearizacija
Jacobian linearization of multivarianle model
- 2010-08-25 03:06:13下载
- 积分：1
-
array
相控阵的matlab代码，利用傅里叶方法进行综合(Phased Array of matlab code, the use of Fourier methods for integrated)
- 2008-04-13 19:48:01下载
- 积分：1
-
music_recognize_on_matlab
从信号处理的角度讲，小波(变换)是强有力的时频分析(处理)工具，是在克服傅立叶变换缺点的基础上发展而来的，所以从信号处理的角度认识小波，需要傅立叶变换、傅立叶级数、滤波器等的基础知识。
(From signal processing perspective, the wavelet (transform) is a powerful time-frequency analysis (processing) tool is to overcome the shortcomings on the basis of Fourier transform evolved, so from the perspective of understanding of wavelet signal processing need to Fourier transform, Fourier series, filters and other basic knowledge.)
- 2010-01-10 17:20:41下载
- 积分：1
-
source-estimates-of-MUSIC-algorithm
估计信号源数不同时的MUSIC算法性能比较(Not the same source estimates the number of performance comparison of MUSIC algorithm)
- 2011-04-29 10:01:28下载
- 积分：1
-
Ritz_solution
Ritz法解决-u +u=x 0<x<1，u(0)=0,u(1)=0的有限元边值问题。精确解为u(x)=1/(exp(1)-1/exp(1))*exp(-x)+1/(1/exp(1)-exp(1))*exp(x)+x，基函数为g(i)=sin(i*pi*x)(This matlab code is used to solve the boundary value problem of the differential equation:
-u +u=x 0<x<1，u(0)=0,u(1)=0, where the accurate solution is :
u(x)=1/(exp(1)-1/exp(1))*exp(-x)+1/(1/exp(1)-exp(1))*exp(x)+x)
- 2011-05-30 20:14:35下载
- 积分：1
-
FBMC_OFDM_Prototype
FBMC prototype filter for 5g communications through wireless interface.
- 2016-07-08 19:07:59下载
- 积分：1
