Hyperbolic householder transforms
SIAM Journal on Matrix Analysis and Applications
Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
Adaptive MC-CDMA receiver with constrained constant modulus IQRD-RLS algorithm for MAI suppression
Signal Processing - Special section: Security of data hiding technologies
Adaptive Filtering: Algorithms and Practical Implementation
Adaptive Filtering: Algorithms and Practical Implementation
EURASIP Journal on Advances in Signal Processing - Special issue on advances in single carrier block modulation with frequency domain processing
A fast least-squares algorithm for linearly constrained adaptivefiltering
IEEE Transactions on Signal Processing
Systolic block Householder transformation for RLS algorithm withtwo-level pipelined implementation
IEEE Transactions on Signal Processing
QR Decomposition-Based Matrix Inversion for High Performance Embedded MIMO Receivers
IEEE Transactions on Signal Processing
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In this paper an inverse QR decomposition based recursive least-squares algorithm for linearly constrained minimum variance filtering is proposed. The proposed algorithm is numerically stable in finite precision environments and is suitable for implementation in systolic arrays or DSP vector architectures. Its performance is illustrated by simulations of a blind receiver for a multicarrier CDMA communication system and compared with previously proposed inverse QR decomposition recursive least-squares algorithms.