-
fft
该文件为功率谱估计的一个子程序，对广大读者很有帮助，现在拿出来和大家一起分享下(The file is a subroutine power spectrum estimation of readers helpful, and now share with everyone out under)
- 2010-08-31 15:20:04下载
- 积分：1
-
afsa2011555
说明： 用人工鱼群算法实现旅行商问题以及求解极值问题，是一种仿生物行为优化算法(Algorithm using artificial fish solving the traveling salesman problem and extremal problems, is an imitation of biological behavior of optimization)
- 2011-03-18 15:11:17下载
- 积分：1
-
DVHOP
说明： 实现无线传感器网络定位DV-Hop算法的matlab源码(Wireless sensor network localization DV-Hop algorithm matlab source)
- 2010-04-18 13:10:28下载
- 积分：1
-
Disfrft
FRFT MATLAB PROGRAM IT IS VERY IMPORTANT
- 2013-09-22 17:29:29下载
- 积分：1
-
PPIMfinal
This a PPIM meshfree code have been developed for curve fitting problems. this archive contains Matlab subroutines
- 2009-02-12 18:06:22下载
- 积分：1
-
emdtu
说明： 对用Matlab软件仿真的非平稳信号，进行经验模态分解，进而分析非平稳信号特征。(Simulation using Matlab software on a non-stationary signals, empirical mode decomposition, and then analyzes characteristics of non-stationary signal.)
- 2010-03-31 19:09:49下载
- 积分：1
-
Main_ComplexAutoCorrelation.m
采用(去偏)的复自相关法计算混沌时间序列最佳延迟时间DelayTime的Matlab原程序(used (last partial) of the complex autocorrelation calculated chaotic time series best of the delay time DelayTime Matlab original program)
- 2007-04-16 09:01:01下载
- 积分：1
-
estimate_AR.m
levinsion-durbin估计参数发(levinsion-durbin estimate)
- 2012-06-13 13:56:35下载
- 积分：1
-
Beamforming---A-Versatile-Approach-to-Spatial-Fil
this contain good description of OD DOA...IT COMPARES VARIOUS TECHNIQUES FOR BEAMFORMING
- 2012-09-14 13:14:51下载
- 积分：1
-
genhurst
计算赫斯特指数Calculates the generalized Hurst exponent H(q) of a stochastic variable x(t) (a time series) the scaling of the renormalized q-moments of the distribution
<|x(t+r)-x(t)|^q>/<x(t)^q> ~ r^[qH(q)]
The value of H(q) give indication about the fractal nature of the signal. H(q) = 0.5 corresponds to a Brownian motion, deviations form 0.5 and dependency on q are indications of multi-fractality and time-correlations.(Calculates the generalized Hurst exponent H(q) of a stochastic variable x(t) (a time series) the scaling of the renormalized q-moments of the distribution
<|x(t+r)-x(t)|^q>/<x(t)^q> ~ r^[qH(q)]
The value of H(q) give indication about the fractal nature of the signal. H(q) = 0.5 corresponds to a Brownian motion, deviations form 0.5 and dependency on q are indications of multi-fractality and time-correlations.)
- 2015-03-09 01:26:14下载
- 积分：1
