-
fractural
分形——生成一片漂亮的树叶,通过一个矩阵迭代并不断刷新生成的图像(fractal-- generating a beautiful leaves, through an iterative matrix and constantly refresh the image)
- 2007-07-08 21:42:48下载
- 积分:1
-
KPCA
核主成分分析方法,是主成分分析的一种改进算法,是一种非线性的特征提取方法。
(Kernel principal component analysis, is the principal component analysis of an improved algorithm, is a nonlinear feature extraction method.)
- 2010-05-05 16:49:09下载
- 积分:1
-
kcxmkmds
三相光伏逆变并网的仿真,针对EMD方法的不足,多元数据分析的主分量分析投影,是学习PCA特征提取的很好的学习资料,FIR 底通和带通滤波器和IIR 底通和带通滤波器,分析了该信号的时域、频域、倒谱,循环谱等。( Three-phase photovoltaic inverter and network simulation, For lack of EMD, Principal component analysis of multivariate data analysis projection, Is a good learning materials to learn PCA feature extraction, Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc.)
- 2020-12-19 10:49:10下载
- 积分:1
-
semblance
semblance analysis in matlab
- 2009-10-03 20:53:56下载
- 积分:1
-
wanshu
完数判断,判断一个数是否为完数的代码C++,还行哦 嘿嘿(After the number of judgments to determine whether a number code for the complete number of C++ okay Oh Hey)
- 2010-12-27 10:00:58下载
- 积分:1
-
Real-Coding-GA
本文介绍了遗传算法的原理及计算流程,并且对简单遗传算法进行改进,实现了数学编码(This article describes the principles of genetic algorithms and calculation processes, and improve on the simple genetic algorithm to achieve a mathematical code)
- 2011-09-01 10:20:44下载
- 积分:1
-
免疫优化算法在物流配送中心选址中的应用
主要用于用遗传算法解决多目标优化的VRP问题(the program is often used to solve VRP)
- 2018-01-14 16:50:44下载
- 积分:1
-
ASSIGNMENT
digital communication codes
- 2012-05-19 18:48:13下载
- 积分:1
-
Frequency-dependent-noise-attenuatio
地震资料 数据处理 分频去噪 模块 主要压制随机噪音 异常振幅 野值 大值
方法特点:1 针对性强,主要去除随机噪音;2 随机噪音识别能力强,达到了较高的去噪水平;3 具有自适应性,能根据不同位置的不同特点统计识别噪音;4 振幅保真,对有效信号的保护性好;5 操作者可根据经验选择参数组合灵活去噪,达到较好的结果。
应用对比:为了展示本模块的去噪效果,所选取的对比对象是某知名成熟商业软件的分频去噪模块,其去噪效果在当前诸多成熟软件模块中是佼佼者,在地震资料处理界具有很好的口碑。
通过对比,说明本模块:1 针对性强,主要去除随机噪音和异常振幅等。2 随机噪音识别能力强,达到了较高的去噪水平。3 具有自适应性,能根据不同位置的不同特点统计识别噪音。4 振幅保真,对有效信号的保护性好。5 操作者可根据经验选择参数组合灵活去噪,达到较好的结果。(Frequency-dependent noise attenuation
seismic data, processing module, is mainly to suppress random noise, denoising abnormal/large amplitude values
Method of characteristics: 1 targeted, mainly to remove random noise 2 random noise and strong ability to identify , reach a higher level of de-noising 3 is adaptive , able to identify the noise statistics according to the different characteristics of different positions 4 amplitude fidelity , the effective protection of the signal is good 5 denoising operator flexibility to select the combination of parameters according to the experience , to achieve better results .
Application contrast: To demonstrate the effect of the de-noising module , the selected object is a well-known comparative commercial software divide mature noising module de-noising effect is the current leader in many mature software module in seismic data processing industry has a good reputation.
By contrast, the description of the module : a targeted, mai)
- 2013-12-12 16:51:44下载
- 积分:1
-
OFDM-IEEE-PAPER
IEEE paper for analysis based on ofdm
- 2011-11-17 19:29:11下载
- 积分:1