1)  blind signal processing
盲源信号处理
2)  blind signal separation
盲源分离
1.
Research and applications of blind signal separation based on kurtosis;
基于峰度的盲源分离算法研究与应用
2.
Most algorithms for blind signal separation(BSS) have poor performance in a noisy back-ground.
噪声环境下大多数盲源分离算法性能大大降低。
3.
In recent years,blind signal separation(BSS) has already become a hot field of signal processing and neural network.
将盲源分离算法应用于雷达阵列接收信号处理,提出了一种新的盲源分离算法的性能评价标准—相关系数法。
3)  blind source separation
盲源分离
1.
A High-capacity Image Watermarking Scheme Based on Blind Source Separation;
基于盲源分离的大容量图像数字水印方案
2.
Application of blind source separation in vibration machine faults diagnosis;
盲源分离在振动机械故障诊断中的应用
3.
Researche on vehicles tire noise detection based on blind source separation technology;
盲源分离技术在车辆轮胎噪声提取中的应用
4)  Blind source separation(BSS)
盲源分离
1.
A new denoising method for ultrasonic signal based on blind source separation(BSS) is proposed.
提出一种新的基于盲源分离的超声信号去噪方法。
2.
In order to remove multiplicative noise in observation a new method for multiplicative noise reduction based on homomorphic transform and blind source separation(BSS) was proposed,using redundancy reduction of independent component analysis(ICA).
为消除乘法性观测噪声,利用独立分量分析的冗余取消特性,提出一种基于同态变换盲源分离(BSS)的消噪新方法。
3.
According to the principle of maximizing statistical independence between the estimated components formulated by high order accumulates,the blind source separation(BSS) of ICA was applied to the extended observed signal.
通过分析传统去噪方法的优缺点,引入基于独立分量分析的噪声消除方法,该方法不需要观测信号为确定性信号的前提假设,通过对加噪观测信号进行盲源分离,得到源观测信号,从而实现对噪声的消除。
5)  BSS
盲源分离
1.
Study on Forward Neural Network BSS (Blind Sources Separation) Algorithm Based on Variable Momentum Term;
对基于变动量项前馈神经网络盲源分离算法的研究
2.
Research on Electromotor Noise Fault Diagnosis Based on BSS and Wavelet Transform;
基于盲源分离和小波分析的电机声频故障诊断研究
3.
As a metric of BSS algorithms performance,the similitude coefficient is widely used.
为了评价盲源分离(BSS)效果,目前普遍采用的检验指标是相似系数。
6)  Blind Source Extraction
盲源提取
参考词条
补充资料：分析信号处理
分子式：
CAS号：

性质：在分析信号中，常常混杂有噪声和其他的干扰信号，噪声和干扰信号不仅会引起误差，而且直接限制了分析方法的检出能力，须加处理。分析信号处理是通过对信号的平滑、滤波、积分、求导、变换等操作消除噪声和干扰信号的影响，可靠地检出所需要的分析信号，并以人们所需要的形式记录和显示分析信号的过程。

说明：补充资料仅用于学习参考，请勿用于其它任何用途。