-
Filtering
filter operations useful in filtering
- 2010-03-05 19:11:11下载
- 积分：1
-
bartlettgonglvpu
说明： 对心音信号实现平均周期图法功率谱估计的matlab程序(PSD bartlett matlab)
- 2011-04-05 15:30:49下载
- 积分：1
-
SACS_TIP2014-master
Self-Adaptively Weighted Co-Saliency Detection via Rank Constraint
- 2015-03-08 19:54:42下载
- 积分：1
-
tongxinyuanli
通信原理课程设计，对信号进行量化编码，计算SQNR信号量化噪声比，信号功率，量化噪声功率信号量化噪声比 (Communication theory curriculum design, signal quantization coding to calculate the SQNR signal quantization noise ratio, signal power, the quantization noise power signal to quantization noise ratio)
- 2013-02-23 21:57:58下载
- 积分：1
-
naoqu_a_slave
该代码只是个计算的例子,提供方法.传递对准中的挠曲和柑臂计算(The code is just a calculation example, provide a way. Transfer Alignment calculation of deflection and orange arms)
- 2010-09-29 14:50:50下载
- 积分：1
-
yichuan-matlab
帮助您了解遗传算法实例及如火如何通过matlab
实现编程(Examples to help you understand and genetic algorithm matlab realize how fiery programming)
- 2013-08-06 15:29:04下载
- 积分：1
-
ChaosAttractors
产生混沌时间序列，Logistic映射Henon映射等。(Chaotic time series, Logistic mapping Henon mapping.)
- 2015-03-18 16:37:09下载
- 积分：1
-
Fuzzy_entropy_bbd
模糊熵， 为解决从信号中提取故障特征难的问题, 介绍了一种新的信号故障特征提取方法—— 多尺度熵( multi-scale
entro py, 简称MSE) , 并将样本熵和多尺度熵分别应用于转子故障信号复杂性的度量, 以提取故障特征。试验数据
分析表明, 与样本熵相比, 多尺度熵更能有效地实现转子故障类型的诊断。(A new rolling bearing fault diagnosis approach based onmultiscale permutation entropy (MPE), Laplacian score (LS), and support
vector machines (SVMs) is proposed in this paper. Permutation entropy (PE) was recently proposed and defined to measure the
randomicity and detect dynamical changes of time series.)
- 2014-05-09 10:05:29下载
- 积分：1
-
wave35
计算前35阶zernike多项式，本程序可方便matlab调用计算(Calculation of the first 35 order zernike polynomial, this procedure can be easily calculated matlab call)
- 2010-12-08 10:22:30下载
- 积分：1
-
arma-model
一种无线通信网中的用户移动模型，用来描述仿真中小区内分布的用户及其移动规律。(User moves in a wireless communication network model, used to describe the simulation of small and medium-sized district distribution of users and their movement law.)
- 2012-03-17 11:21:55下载
- 积分：1
|
联系客服（QQ：3324461878）
