-
JM97B
说明： 截断切割：用matlab程序实现这一过程的方法(Truncated Cutting: The matlab program to achieve this process approach)
- 2010-03-26 16:43:29下载
- 积分：1
-
Matlab
matlab 入门教程 适合刚入门的学生学习(matlab Tutorial)
- 2013-07-25 22:11:28下载
- 积分：1
-
Kalman
说明： kalman滤波器的试验程序，非常好用，可以试验下(kalman filter testing procedures, very easy to use, you can test under)
- 2008-09-22 16:18:47下载
- 积分：1
-
matlab-zuixiaoerchengnihe
最小二乘法拟合，基于matlab的算法，拟合研究的一部分(LSF Least Square Fit
)
- 2011-04-19 10:09:04下载
- 积分：1
-
robust_motion_deblurring
Two-Phase Kernel Estimation for Robust
Motion Deblurring
- 2020-11-09 09:59:47下载
- 积分：1
-
ADDA-MATLAB
AD/DA转换器的设计及MATLAB仿真实现(matlab A/D)
- 2013-03-16 14:37:08下载
- 积分：1
-
new
its about quaternion formation
- 2013-08-01 22:29:39下载
- 积分：1
-
hosa
最新、最全“高阶谱分析工具箱”，包括全部教程和DEMO.(There is much more information in a stochastic non-Gaussian or deterministic signal than is conveyed by its autocorrelation and power
spectrum. Higher-order spectra which are defined in terms of the higher-order moments or cumulants of a signal, contain this additional information. The Higher-Order Spectral Analysis (HOSA) Toolbox provides comprehensive higher-order spectral analysis capabilities for signal processing applications. The toolbox is an excellent resource for the advanced researcher and the practicing engineer, as well as the novice
student who wants to learn about concepts and algorithms in statistical signal processing.
The HOSA Toolbox is a collection of M-files that implement a variety of advanced signal processing algorithms for the estimation of cross- and auto-cumulants (including correlations), spectra and olyspectra,bispectrum, and bicoherence, and omputation of time-frequency
distributions. Based on these, algorithms for parametric and non-parametric blin)
- 2021-03-21 20:29:16下载
- 积分：1
-
root-MUSIC-MATLAB
root-MUSIC算法MATLAB程序(root-MUSIC algorithm based on MATLAB program)
- 2014-10-23 18:01:43下载
- 积分：1
-
acceleration(time)
matlab 2013版，半车模型主被动悬架的车身垂直加速度时域对比图形。(matlab body vertical acceleration time domain graph)
- 2017-02-23 16:58:20下载
- 积分：1
|
联系客服（QQ：3324461878）
