搜索资源列表
ICA
- 独立成分分析算法降低原始数据噪声,并提取特征值,非常有用得数据去噪程序。-Independent component analysis algorithm reduces the raw data noise, and extract characteristic value, is more helpful data denoising procedure.
ICA
- 基于负熵最大的独立分量分析算法,可以将独立的混合信号分离-Based on the negative entropy of the largest independent component analysis algorithm can be a separate mixed-signal separation
ICA_denoise
- ICA去噪程序,与小波去噪比较,去噪效果较好。-ICA denoising procedure, compared with wavelet denoising, denoising is better.
ica
- fastica算法,去除眼电,实现对脑电的去噪处理-fastica algorithm to remove the EOG
ICAQUZAO
- 用ICA算法模拟一个声发射信号,并对其进行去噪,计算信噪比-ICA algorithm simulation using an acoustic emission signals, and its de-noising, signal to noise ratio is calculated
qiupang
- sar图像去噪的几种新的方法,ICA(主分量分析)算法和程序,采用波束成形技术的BER计算。- Several new methods sar image denoising, ICA (Principal Component Analysis) algorithm and procedures, By applying the beam forming technology of BE.
muigao_v80
- ICA(主分量分析)算法和程序,ofdm系统仿真 含16qam调制 fft 加窗 加cp等模块,采用了小波去噪的思想。- ICA (Principal Component Analysis) algorithm and procedures, ofdm system simulation including 16qam modulation fft windowing modules plus cp, Using wavelet denoising thought.
qunpun
- ICA(主分量分析)算法和程序,脉冲响应的相关分析算法并检验,实现了图像的加水印,去噪,加噪声等功能。- ICA (Principal Component Analysis) algorithm and procedures, Related impulse response analysis algorithm and inspection, Realize image watermarking, de-noising, plus noise and other functions.
FastICA
- ICA程序,可以用来做独立分析,去噪等分析,十分有用的程序-ICA procedures, can be used to do independent analysis, denoising and other analysis, very useful procedure
kernel-ica1_2.tar
- 独立成分分析 用于信号去噪 盲源信号处理 独立源提取(independent component analysis)
改进空域滤波
- 集合经验模态分解算法和基于负熵最大的Fast ICA算法对心磁信号的去噪处理(Ensemble empirical mode decomposition algorithm and Fast ICA algorithm based on maximum negative entropy for denoising processing of magnetic heart signals)