-
10waveletnoise
小波包变换分析信号的MATLAB程序
小波分析信号去噪
小波分解与重构经典程序(Wavelet packet transform analysis of signals in MATLAB program Signal de-noising wavelet decomposition wavelet analysis and reconstruction classic program)
- 2020-06-29 04:20:02下载
- 积分:1
-
The-robot-adaptive-control
机器人神经网络自适应控制,用于研究机器人控制算法,提供源码(Neural network adaptive control, robot control algorithm is used to study the robot, to provide the source code)
- 2015-08-22 10:13:14下载
- 积分:1
-
同步提取变换
【实例简介】
- 2021-08-05 00:31:09下载
- 积分:1
-
亲测可用的蚁群算法MATLAB程序
比较了软阈值,硬阈值及当今各种阈值计算方法,FMCW调频连续波雷达的测距测角,有信道编码,调制,信道估计等,D-S证据理论数据融合,模式识别中的bayes判别分析算法,阵列信号处理的高分辨率估计。
- 2022-01-28 01:04:18下载
- 积分:1
-
基于双树复小波变换的matlab代码的图像对比度增强
图像增强
- 2022-01-28 06:22:12下载
- 积分:1
-
VisualC++_MATLAB
《Visual C++_MATLAB图像处理与识别实用案例精选》配套源程序()
- 2008-03-21 11:16:00下载
- 积分:1
-
Graph-theory-algorithm
是研究图像学很好的一本电子版的教材,里面有很详细的例程,对初学者是不错的选择;matlab图形算法,对初学者有很大的帮助,里面有matlab代码的详细介绍,希望对大家有帮助(Matlab graphics algorithm, for beginners there is a lot of help, there is a matlab code in detail, hope to help everyone)
- 2014-12-11 22:24:36下载
- 积分:1
-
New-ARMA-model-
运用粒子群优化算法对ARMA(p,q)模型的阶数进行优化是可行的,且利用优化后的ARMA模型对航空发电机状态趋势进行分析的结果十分准确,与原始数据所表现出的航空发电机状态变化趋势基本一致。经计算,此时分析结果的平均相对误差较小,仅为1.38 ,与优化前构建的ARMA模型相比,平均相对误差降低0.23个百分点,优化效果明显。(Using particle swarm optimization algorithm to optimize the order of the ARMA (p, q) model is feasible, and the use of the results of the ARMA model optimized air generator status trends analysis is very accurate, and the raw data showed aviation the generator status consistent trend. Calculated analysis of the results, the average relative error is small, only 1.38 , compared with the the ARMA model built before optimization, average relative error is reduced by 0.23 percentage points, to optimize the effect is obvious.)
- 2012-10-17 16:22:42下载
- 积分:1
-
Chebyshev
实现切比雪夫多项式拟合的函数源代码,保存后可直接调用(Chebyshev polynomial fitting function source code, save directly after the call.)
- 2018-09-05 09:55:03下载
- 积分:1
-
jiyuhundunjiamidexiaobodaima
说明: 基于混沌加密的小波域数字水印代码,毕业设计源代码(chaos)
- 2010-04-23 11:19:55下载
- 积分:1