Firstly, a new joint filterbank precoders and decision feedback equalizers structure is proposed, and the corresponding optimization result based on the maximal mutual information criterion is derived. secondly, the concept of dt canonical model is proposed, which is very suitable for the task of blind signal processing based on the second - order statistical of the observations. thirdly, the methods of blind equalization and identification of the tv dispersive channels are researched systematically based on the proposed dt canonical model, and a subspace blind identification algorithm of the time - invariant channel matrix is developed
本文創新性的成果在於:提出了預編碼-判決反饋聯合均衡系統結構,並從理論推導得出了對應的最大互
信息量最優化設計結果;首次提出了時變色散通道的離散正則模型概念,該模型適宜於利用觀察數據的二階統計量進行
盲信號處理;基於離散正則模型對時變色散通道進行了系統的
盲均衡和
盲辨識方法研究,提出了對時不變通道矩陣的子空間
盲辨識演算法;針對誤差傳播效應問題,提出了可以消除誤差傳播效應的兩級
盲辨識演算法;提出了基於離散正則模型的直接
盲均衡演算法;提出了基於特徵恢復思想的神經網路直接自適應
盲均衡演算法。
We propose the joint filterbank precoders and decision feedback equalizers structure at first, by which the dispersive channel is equivallent into parallel independent flat fading subchannels such that the diversity gain of the receiver is increased. then we adopt the discrete - time ( dt ) canonical model to convert the problem of blind signal processing of tv dispersive channels into processing the time - invariant multi - channels model blindly, and discuss the problem of blind equalization and identification of tv dispersive channels based on this new model
第一種是採用濾波器組聯合均衡方法將色散通道等價為一組獨立的平坦衰落子通道,以提高接收機的分集增益;另外一種是提出採用離散正則模型將時變色散通道的
盲信號處理轉化為時不變多通道模型的
盲信號處理,並針對該模型對時變色散通道的
盲均衡與
盲辨識方法進行了詳細討論。
Blind source separation : classificaiton and frontiers
盲信號分離研究分類與展望
Blind source separation based on optimally selected estimating functions
基於選優估計函數的
盲信號分離
Image watermark detection and extraction based on blind source separation
基於
盲信號分離的數字水印檢測與提取
A blind source separation algorithm by using time - frequency signal analysis
一種基於時頻分析的
盲信號分離演算法
Based on the ica analytical method, the theories and some efficient methods of blind source separation ( bss ) are studied
基於獨立分量分析( ica )方法研究了
盲信號分離的基本理論和部分有效方法。
3. the traffic sign recognition and digital watermarking based blind source separation technique has been demonstrated on this paper
( 3 )論文對
盲信號分離技術在模式識別以及
信號處理方面的應用研究進行了探討。
Bss have an active functioning impelled on not only the signal processing researching but also the development of neural network ’ s theory
盲信號分離不僅對
信號處理的研究而且也對神經網路理論的發展起到積極的推動作用。
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
論文主要包括以下四部分內容: 1 、簡單介紹了自適應波束形成和
盲信號分離的基本理論。
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
盲信號分離在信號處理領域中日益顯示出其重要性,而獨立分量分析是其中的重要組成部分。