1) joint block-diagonalization
联合块对角化
1.
The joint approximate diagonalization algorithm is generalized, making use of the non-stationarity and short-time stationarity of speech sources, and the joint difference correlation matrix and joint block-diagonalization cost function are defined.
首先对观测信号进行重新排列,将卷积混合盲分离问题转化为瞬时混合盲分离问题,然后对联合近似对角化算法进行了推广,利用语音的非平稳和短时平稳特征定义联合差分相关矩阵和联合块对角化代价函数,通过鲁棒的白化过程和求解最优化问题实现卷积语音的盲分离。
2.
A blind convolutive separation algorithm is proposed to sequently estimate the transform channels and separate the source signals based on joint block-diagonalization by virtue of the mutually independent property of the source signals.
针对卷积盲分离问题,利用源信号之间相互独立的性质,提出一种基于单分量提取的联合块对角化算法依次估计各源信号对应的传输信道,以实现源信号分离。
2) joint block-inner diagonalization(JBID)
联合块内对角化
1.
A method based on a joint block-inner diagonalization(JBID) of a set of output auto-correlation matrices at different delays is proposed for convolutive blind source separation(BSS).
针对卷积混合盲源分离问题,提出一种基于接收信号不同延时下自相关矩阵组的联合块内对角化方法。
3) joint diagonalization
联合对角化
1.
Two efficient algorithms for joint diagonalization with exception of the singular solution
避免奇异解联合对角化的两种高效算法
2.
Improved joint diagonalization algorithm with low computational load
降低计算量的改进联合对角化算法
3.
A non-unitary joint diagonalization method was proposed to estimate the two-dimension(2D) direction of arrival(DOA) embedded in additive Gaussian noise.
针对高斯白噪声中的二维角度估计问题,提出一种非酉联合对角化方法。
4) joint approximate diagonalization
联合近似对角化
1.
As a suitable solution,the joint approximate diagonalization algorithm of auto correlation matrices of the whitening signals is presented for separating each vibration signal from mixed signals.
该方法利用白化信号自相关矩阵的联合近似对角化算法,从观测信号中分离故障特征源信号,并根据分离信号的频谱成功地提取了混合故障的特征信息,有效地诊断出齿轮箱所处的故障状态。
5) approximately joint diagonalization
近似联合对角化
6) Block-diagonalization
块对角化
1.
Through adding additional constraint to the joint Tx-Rx MMSE optimization scheme the equivalent channel could be changed from block-diagonalization to complete diagonalization.
提出了1种用于多用户多天线系统(MIMO)下行链路的空分多址发送预滤波技术,通过在目前已有的基于块对角化的联合Tx-Rx MMSE算法的基础上,增加新的约束条件,使等效信道由块对角化矩阵变为完全对角化矩阵,就可以在发送端同时将多用户干扰(MUI)和用户内部各路数据流之间的干扰完全消除。
补充资料：分块对角算子
分块对角算子
block - diagonal operator
分块对角算子)bl以尘一山ag00al 01犯m妞;皿泌~即~。~云.州四T叩}关于凡lbert空间H的一个给定的正交分解H=艺、1。从的 H卜一个线巴算子滩，它对每个子空间H*(k妻l)是不变的A的谱是诸“分块”Af，，、二A、(人)l)的谱的并的闭包、{引}二、、甲‘、到戍;在广泛的意义下，个分块对角算f是在氏l忱rt空间的直接积分中乘以函数又的算一护，组- H一石。““，“风‘’，‘A“‘’二·“)f(‘’，‘任M·这银又(t)是作用了空间H(r)上的线性算子.每个与-个正规算子交换的算r，关于这个止规算子的谱分解，是个分块对角算一J几.亦见对角算子(diagonal operator).
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参考词条