计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2013年
13期
211-215
,共5页
欠定盲分离%蚁群聚类%混叠矩阵
欠定盲分離%蟻群聚類%混疊矩陣
흠정맹분리%의군취류%혼첩구진
underdetermined blind separation%ant colony clustering%aliasing matrix
利用欠定盲源分离情况下稀疏源信号具有直线聚类的特点，提出了一种估计混叠矩阵的新方法。通过对混叠信号进行标准化处理，使混叠信号形成球形簇，将线性聚类转变成致密聚类；利用蚁群聚类算法对其进行搜索得到聚类中心，从而获得对混叠矩阵的精确估计。该方法能实现源信号数目未知情况下的欠定盲源分离，且能推广到三路或更多路观测信号的情况。对语音信号的仿真结果证明，该方法能精确地分离和恢复原始信号。
利用欠定盲源分離情況下稀疏源信號具有直線聚類的特點，提齣瞭一種估計混疊矩陣的新方法。通過對混疊信號進行標準化處理，使混疊信號形成毬形簇，將線性聚類轉變成緻密聚類；利用蟻群聚類算法對其進行搜索得到聚類中心，從而穫得對混疊矩陣的精確估計。該方法能實現源信號數目未知情況下的欠定盲源分離，且能推廣到三路或更多路觀測信號的情況。對語音信號的倣真結果證明，該方法能精確地分離和恢複原始信號。
이용흠정맹원분리정황하희소원신호구유직선취류적특점，제출료일충고계혼첩구진적신방법。통과대혼첩신호진행표준화처리，사혼첩신호형성구형족，장선성취류전변성치밀취류；이용의군취류산법대기진행수색득도취류중심，종이획득대혼첩구진적정학고계。해방법능실현원신호수목미지정황하적흠정맹원분리，차능추엄도삼로혹경다로관측신호적정황。대어음신호적방진결과증명，해방법능정학지분리화회복원시신호。
Taking advantage of the straight line clustering of the sparse source signals in underdetermined blind separation, a method of the mixing matrix estimation is proposed. The aliasing signals are standardized and the aliasing signals are formed spherical cluster, so the linear cluster is turned into density cluster. And then the clustering center is searched and obtained by using the ant clustering algorithm. The aliasing matrix and the source signals are accurately evaluated. The proposed algorithm can separate the source signals in which the number is unknown and it is also effective to separate three or more observed signals. The simulation results of speech signals show that this method can precisely separate and restore the original signals.
