1 、 the basic theories of adbf and bss are introduced . firstly the theories of adbf are introduced . then the adbf after composing subarray is researched 论文主要包括以下四部分内容: 1 、简单介绍了自适应波束形成和盲信号分离的基本理论。
The independent component analysis ( ica ) is a branch of the blind source separation , which has become an important part in signal processing and data analysis 盲信号分离在信号处理领域中日益显示出其重要性,而独立分量分析是其中的重要组成部分。
With the ability to detect or decode message without the original image , blind information hiding is very useful in digital watermarking and steganography 分析了非盲信息隐藏和盲信息隐藏中密信检测模型的差别，建立了隐藏信息盲检测和盲解码的技术框架。
Blind signal processing is a new orientation in the field of signal processing , it also has broad range of application in daily life 盲信号处理技术是最近一段时间兴起的一个新的研究领域，它在实际中有着非常广泛的应用，盲信号源分离是盲信号处理技术的一个研究方向。
The main content of the paper and the corresponding achievements are as follows : 1 . two low - complexity ofdm adaptive algorithms : lms - bussgangare and zf - bussgang , were proposed 提出了两种低复杂度的ofdm自适应盲信道估计算法，分别是lms - bussgang和zf - bussgang算法。
They say that religious wars , fanaticism and intolerance spring from dogmatic beliefs that particular gods and faiths are unique , rather than facets of universal brain chemistry 他们说宗教信仰战争，盲信和不容异说从特别的上帝和信仰是独特的、胜过普遍的脑化学的多面教条信心中触发。
Blind signal separation is a new technique of signal processing aimed at retrieving a system ' s unknown information from its output only , which can be used in array processing and data analysis 盲信号分离技术是信号处理中用于阵列处理和数据分析的一种新的技术，在源信号和混合过程未知情况下，从混合信号中分离出源信号。
There are many potential application , especially in wireless communication , medical signal processing , image processing and radar signal processing . in recent years , blind signal separation has been an attractive trend in the area of academia 盲信号分离技术可广泛应用于无线通讯、医学信号处理、图像处理以及雷达信号处理等多个应用领域，已成为信号处理领域的一个研究热点。
It is pointed out that the indeterminacy of bss is the amplitude and the order of the recovered sources . the ica estimation principle of nonlinear decorrelation and maximum nongaussianity is presented . i showed the relationship of different learning rule , e . g 指出盲信号分离的不确定性表现为分离信号排序顺序的不确定性和波形幅度的不确定性， ica的基本估计准则：非线性去相关和最大化非高斯性。
