Polynomial singular value decomposition (PSVD) plays a very important role in broadband multiple-input multiple-output (MIMO) systems. One of its applications lies in the decoupling of MIMO convolutive mixing channel matrix in order to recover the transmitted signals corrupted by the channel interference (CI) at the receiver. In this paper, a novel algorithm, known as multiple shift second order sequential best rotation (MS-SBR2), is proposed to compute the approximate PSVD of the broadband MIMO channel matrix. Experimental examples, including a measured (2 × 2) optical MIMO channel impulse response using the multi-mode fiber (MMF) testbed, are presented to examine the proposed algorithm. Bit error rate (BER) performances are evaluated amon...
Polynomial eigenvalue decomposition (PEVD) and polynomial QR decomposition (PQRD) are generalisation...
In this paper we consider the design of a linearly precoded MIMO transceiver based on filter bank (F...
The breadth first signal decoder (BSIDE) is well known for its optimal maximum likelihood (ML) perfo...
Polynomial singular value decomposition (PSVD) plays a very important role in broadband multiple-inp...
Polynomial matrix singular value decomposition (PMSVD) plays a very important role in broadband mult...
For a narrowband multi-input multi-output (MIMO) system the singular value decomposition has the abi...
Within the last years the multiple-input multiple-output (MIMO) technology has revolutionized the op...
In this paper we investigate non-linear precoding solutions for the problem of broadband multiple-in...
Polynomial eigenvalue decomposition (PEVD) is an extension of the eigenvalue decomposition (EVD) for...
The concept of polynomial matrices is introduced and the potential application of polynomial matrix ...
In this paper we investigate non-linear precoding solutions for the problem of broadband multiple-in...
Methods for spatially diagonalizing wideband multiple-input multiple-output channels using linear fi...
AbstractThis paper presents an adaptive hardware design for computing Singular Value Decomposition (...
The complexity and the power consumption of digital signal processing are crucial issues in optical ...
The interest in wireless communications among consumers has exploded since the introduction of the "...
Polynomial eigenvalue decomposition (PEVD) and polynomial QR decomposition (PQRD) are generalisation...
In this paper we consider the design of a linearly precoded MIMO transceiver based on filter bank (F...
The breadth first signal decoder (BSIDE) is well known for its optimal maximum likelihood (ML) perfo...
Polynomial singular value decomposition (PSVD) plays a very important role in broadband multiple-inp...
Polynomial matrix singular value decomposition (PMSVD) plays a very important role in broadband mult...
For a narrowband multi-input multi-output (MIMO) system the singular value decomposition has the abi...
Within the last years the multiple-input multiple-output (MIMO) technology has revolutionized the op...
In this paper we investigate non-linear precoding solutions for the problem of broadband multiple-in...
Polynomial eigenvalue decomposition (PEVD) is an extension of the eigenvalue decomposition (EVD) for...
The concept of polynomial matrices is introduced and the potential application of polynomial matrix ...
In this paper we investigate non-linear precoding solutions for the problem of broadband multiple-in...
Methods for spatially diagonalizing wideband multiple-input multiple-output channels using linear fi...
AbstractThis paper presents an adaptive hardware design for computing Singular Value Decomposition (...
The complexity and the power consumption of digital signal processing are crucial issues in optical ...
The interest in wireless communications among consumers has exploded since the introduction of the "...
Polynomial eigenvalue decomposition (PEVD) and polynomial QR decomposition (PQRD) are generalisation...
In this paper we consider the design of a linearly precoded MIMO transceiver based on filter bank (F...
The breadth first signal decoder (BSIDE) is well known for its optimal maximum likelihood (ML) perfo...