用于数组处理的RLS阶梯算法的新形式

P. Strobach
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引用次数: 0

摘要

只提供摘要形式。讨论了最近发展起来的两种三角阵列梯形算法。第一种算法ARRAYLAD 1计算横向正向/向后预测系数、阶梯反射系数和正向/向后剩余能量。这是在每次递归的总计算复杂度为1.5 p/sup 2/次的情况下获得的,其中p是算法的阶数。因此,ARRAYLAD 1可以在一个三角形收缩数组上实现,在标量(单通道)情况下,每个旋转(三角形数组)元素有三个乘法器。第二种算法ARRAYLAD 2只计算阶梯反射系数和剩余能量,每次递归的计算复杂度降低到1.0 p/sup / 2/次,因此在收缩数组实现中每个三角形数组元素只需要两个乘法器。
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New forms of RLS ladder algorithms for array processing
Summary form only given. Two recently developed triangular array ladder algorithms are discussed. The first algorithm, ARRAYLAD 1, computes both the transversal forward/backward predictor coefficients, the ladder reflection coefficients, and the forward/backward residual energies. This is obtained at a total computational complexity of 1.5 p/sup 2/ multiplications per recursion, where p is the order of the algorithm. ARRAYLAD 1 can therefore be implemented on a triangular systolic array with three multipliers per rotational (triangular array) element in the scalar (single-channel) case. The second algorithm, ARRAYLAD 2, computes only the ladder reflection coefficients and the residual energies at a reduced computation complexity of 1.0 p/sup 2/ multiplications per recursion, hence requiring only two multipliers per triangular array element in a systolic array implementation.<>
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