Mobien Shoaib

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Fast QR decomposition RLS (FQRD-RLS) algorithms are well known for their good numerical properties and low computational complexity. However the FQRD-RLS algorithms do not provide access to the filter weights, and so far their use has been limited to problems seeking an estimate of the output error signal. In this paper we present a novel technique to(More)
Multichannel fast QR decomposition recursive least-squares (MC-FQRD-RLS) algorithms are well known for their good numerical properties and low computational complexity. However, these algorithms have been restricted to problems seeking an estimate of the output error signal. This is because their transversal weights are embedded in the algorithm variables(More)
High frequency (HF) band has both military and civilian uses. It can be used either as a primary or backup communication link. Automatic modulation classification (AMC) is of an utmost importance in this band for the purpose of communications monitoring; e.g., signal intelligence and spectrum management. A widely used method for AMC is based on pattern(More)
Automatic Modulation Classification (AMC) is the process of classifying the received signals without prior information. This process is an intermediate step between signal detection and demodulations. It serves both military and civilian applications, such as spectrum monitoring and general-purpose universal demodulators. In this paper, we propose a(More)
Fast QR decomposition RLS (FQRD-RLS) algorithms are well known for their good numerical properties and low computational complexity. The FQRD-RLS algorithms do not provide access to the filter weights, and their use have so far been limited to problems seeking an estimate of the output error signal. In this paper we present techniques which allow us to(More)
Particle swam optimization (PSO) is a popular stochastic optimization method that has found wide applications in diverse fields. However, PSO suffers from high computational complexity and slow convergence speed. High computational complexity hinders its use in applications that have limited power resources while slow convergence speed makes it unsuitable(More)
The objective of this work is to propose hardware-efficient schemes for multicast scheduling in input-queued switches based on the weight based arbiter (WBA), motivated by the practical implementation of a scheduler for a 64-port optical crossbar switch. We demonstrate that alternating fanout- and age-based weight calculations in subsequent time slots lead(More)
QR-decomposition-based least-squares lattice (QRD-LSL) algorithms do not provide the transversal weight vector in explicit form. These weights can be computed from the variables of the QRD-LSL algorithm using the Levinson-Durbin (LD) recursion. If the prediction coefficients do not vary over time, a reduced complexity but approximate solution can be(More)
Fast QR-decomposition based recursive least-squares (FQRD-RLS) algorithms are known for their good numerical properties and low computational complexity. However, they have so far not been used in active noise control (ANC) because the general implementation would require multiple-input multiple-output (MIMO) FQRD-RLS algorithms, which are currently not(More)