We present an adaptive reduced-rank signal processing technique for performing
dimensionality reduction in general adaptive filtering problems. The proposed method is …

This paper presents novel adaptive space-time reduced-rank interference-suppression least
squares (LS) algorithms based on a joint iterative optimization of parameter vectors. The …

This paper proposes a multistage decomposition for blind adaptive parameter estimation in
the Krylov subspace with the code-constrained constant modulus (CCM) design criterion …

Reduced-rank adaptive processing (RRAP) has received considerable attention in recent
years. One of the key problems with this technique is how to determine an appropriate …

A space–time adaptive reduced-rank processor for interference mitigation in DS-CDMA
systems is proposed based on interpolated finite impulse response filters with time-varying …

The random matrix theory is used to analyze the asymptotic performance of the blind
minimum output energy (MOE) receiver in direct-sequence code division multiple-access …

An adaptive low-complexity space-time reduced-rank processor is proposed for interference
suppression in asynchronous DS code division multiple access (CDMA) systems based on a …

High signal-to-noise ratio (SNR) properties of the minimum output energy (MOE) receiver
and the Capon channel estimation technique are analyzed in the case of large direct …

The performance of a set of linear reduced-rank multistage filter banks is studied in the
context of multiuser detection for direct-sequence (DS) code-division multiple-access …

An adaptive low-complexity space-time reduced-rank processor is proposed for interference
suppression in asynchronous DS-CDMA systems based on a diversity-combined decimation …