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Adaptive algorithm for the Cholesky approximation calculation

机译:Cholesky近似计算的自适应算法

摘要

It is to be without the complexity of the equipment to calculate the approximate Cholesky factor for the communication signal data detection for multi-user detection method used [Problems] code division multiple access in (CDMA) communication system, the complexity of the receiving system and I to mitigate the increase in manufacturing cost. Detection of the data is required in the solution [means] wireless communication system. I receive communication signals of a plurality of the (r). Is modeled using a linear system requiring a matrix inversion of the (34), a solution for estimating data communications signal which it receives the (r) of (d). I want to calculate the (B and A) multiple columns or rows of the approximate Cholesky factor. And to calculate the difference of the line between the difference or column between the calculation Zumi. If difference was calculated is equal to or less than the threshold, the columns or rows of later, calculated by column or row of calculation Zumi before that. It is estimated using the approximate Cholesky factor data communication signal received in (r) and (d).
机译:为(CDMA)通信系统中使用的[问题]码分多址[问题]计算多用户检测方法,应为通信信号数据检测计算出近似的霍夫斯基因子,而无需设备的复杂性;接收系统的复杂性;以及我减轻了制造成本的增加。在解决方案[手段]无线通信系统中需要检测数据。我收到多个(r)的通讯信号。使用需要对(34)进行矩阵求逆的线性系统进行建模,这是一种估计接收(d)的(r)的数据通信信号的解决方案。我想计算(大约)霍乱系数的多列或多行。并计算线之间的差异或计算Zumi之间的差异。如果计算出的差等于或小于阈值,则在此之前的列或行由计算Zumi的列或行计算。使用在(r)和(d)中接收到的近似Cholesky因子数据通信信号进行估算。

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