Abstract — The matrix inversion lemma gives an explicit formula of the inverse of a positive-definite matrix added to a block of dyads (represented as ) as follows: It is well-known in the literature that this formula is very useful to develop a block-based recursive least-squares algorithm for the block-based recursive identification of linear systems or the design of adaptive filters. We extend this result to the case when the matrix is singular, and present a matrix pseudo-inversion lemma. Based on this result, we propose a block-based adaptive multicahnnel super-exponential algorithm (BAMSEA). We present simulation results for the performance of the block-based algorithm in order to show the usefulness of the matrix pseudo-inversion...
In this paper, first a brief review is given of a fully pipelined algorithm for recursive least squa...
In many inverse problems the operator to be inverted is not known precisely, but only a noisy versio...
In this letter, methods and corresponding complexities for fast matrix inversion updates in the cont...
Abstract—The matrix inversion lemma gives an explicit formula of the inverse of a positive definite ...
Abstract—In the simplest case, the matrix inversion lemma gives an explicit formula of the inverse o...
Abstract — The multichannel blind deconvolution of finite-impulse response (FIR) or infinite-impulse...
A block matrix inversion is a tool that is useful in areas of control, estimation theory and signal ...
Recent advances in signal processing hardware has made possible the implementation of sophisticated ...
Multichannel blind deconvolution of finite-impulse re-sponse (FIR) or infinite-impulse response (IIR...
Abstract—Block-banded matrices generalize banded matrices. We study the properties of positive defin...
We report a novel approach for inversion of large random matrices in massive Multiple-Input Multiple...
Linear algebra problems such as matrix-vector multiplication, inversion and factorizations may be st...
In this paper, a method for MIMO blind deconvolution is proposed. The method is applicable to the ca...
In this work we explore the trade-offs between established algorithms for symmetric matrix inversion...
A unified and generalized framework for a recur-sive least squares (RLS)-like least mean square (LMS...
In this paper, first a brief review is given of a fully pipelined algorithm for recursive least squa...
In many inverse problems the operator to be inverted is not known precisely, but only a noisy versio...
In this letter, methods and corresponding complexities for fast matrix inversion updates in the cont...
Abstract—The matrix inversion lemma gives an explicit formula of the inverse of a positive definite ...
Abstract—In the simplest case, the matrix inversion lemma gives an explicit formula of the inverse o...
Abstract — The multichannel blind deconvolution of finite-impulse response (FIR) or infinite-impulse...
A block matrix inversion is a tool that is useful in areas of control, estimation theory and signal ...
Recent advances in signal processing hardware has made possible the implementation of sophisticated ...
Multichannel blind deconvolution of finite-impulse re-sponse (FIR) or infinite-impulse response (IIR...
Abstract—Block-banded matrices generalize banded matrices. We study the properties of positive defin...
We report a novel approach for inversion of large random matrices in massive Multiple-Input Multiple...
Linear algebra problems such as matrix-vector multiplication, inversion and factorizations may be st...
In this paper, a method for MIMO blind deconvolution is proposed. The method is applicable to the ca...
In this work we explore the trade-offs between established algorithms for symmetric matrix inversion...
A unified and generalized framework for a recur-sive least squares (RLS)-like least mean square (LMS...
In this paper, first a brief review is given of a fully pipelined algorithm for recursive least squa...
In many inverse problems the operator to be inverted is not known precisely, but only a noisy versio...
In this letter, methods and corresponding complexities for fast matrix inversion updates in the cont...