1) instantaneous mixtures
瞬时混叠
2) Instantaneous Blending
瞬时混和
3) instantaneous mixing
瞬时混合
1.
This method treats the problem of system identification as the instantaneous mixing model defined in independent component analysis (ICA).
在加性噪声背景下,将线性系统辨识问题纳入到独立分量分析(ICA)瞬时混合模型中,提出了一种新的结合ICA技术的线性系统辨识算法。
4) instantaneous mixtures
瞬时混合
1.
Bell and Sejnowski have presented a approach to separate instantaneous mixtures based on the information maximization that we always call it traditional information maximization.
Bell和Sejnowski提出了一种基于信息最大化的方法能够分离瞬时混合信号,一般称之为传统的信息最大化方法。
5) time aliasing
时域混叠
1.
aperture problem and time aliasing problem, on the basis of Bernard theory, a method based on fast filter bank is presented: Due to the fact that wavelet function can be formulated as the product of filter bank, wavelet coefficients in time domain can be transformed into that in frequency domain.
为了解决光流估计时存在的孔径问题和时域混叠 ,在 Bernard的理论基础上 ,给出了基于快速滤波器组的方法 :小波函数在频域可以表示为滤波器组的乘积 ,所以时域的小波系数由傅里叶变换转换到频域 ,通过滤波器组快速求解。
6) instantaneous mixture
瞬时混合结构
1.
Blind multiuser detection based on instantaneous mixtures;
基于瞬时混合结构的盲多用户检测
补充资料：混头混脑
1.头脑胡涂。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条