This work considers the implementation of recursive identification algorithms based on hyperstability concepts with polyphase structures. It is shown that the SPR condition required for convergence of these schemes can always be met by using a sufficiently high polyphase expansion factor M . For a given M , the degree of persistent excitation required for parameter convergence is obtained. When...

Adaptive infinite-impulse-response (IIR) filtering provides a powerful approach for solving a variety of practical signal processing problems. Because the error surface of IIR filters is typically multimodal, global optimisation techniques are generally required in order to avoid local minima. This contribution applies the particle swarm optimisation (PSO) to digital IIR filter design in a real...

Abstract-Electrocardiogram (ECG) signal has been broadly used in cardiac pathology to find heart disease. ECG signal is commonly corrupted by disparate artifacts as baseline wander, power line interference (50/60 Hz) and electromyography noise and these should be eliminated before diagnosis. The function proposed in this paper is removal of low frequency interference i.e. baseline wandering and...

This paper describes a novel Deep Learning method for the design of IIR parametric filters automatic multipoint audio equalization, that is task improving sound quality listening environment at multiple points employing loudspeakers. The are designed to approximate inverse RIR and achieve almost flat magnitude response. A simple effective neural architecture, named BiasNet, proposed determine e...

The introduction of a simple correction term in gradient algorithms for adaptive IIR filtering is shown to improve their convergence and robustness. The error surface, i.e., the mean squared value of the output error as a function of adaptive coefficients, is quadratic in adaptive FIR filtering and thus a simple gradient search works well. This is not the case in adaptive IIR filtering where th...

This paper proposes a novel method for designing two-channel and M-channel causal stable IIR PR filter banks using cosine modulation. In particular, we show that the PR condition of the two-channel IIR filter banks is very similar to the two-channel FIR case. Using this formulation, it is relatively simple to satisfy the PR condition and to ensure that the filters are causal stable. Using a sim...

High-speed recursive filter structures for interpolation and decimation with factors of two, and quadrature mirror filter (QMF) banks with perfect magnitude reconstruction, are proposed. The structures are composed of identical all-pass subfilters that are interconnected via extra multipliers. For the case of interpolation and decimation filters, the overall transfer function corresponds in the...

This work is concerned with the performance of adaptive filters with both poles and zeros in active noise control (ANC) applications. This filtered-error type of applications makes it necessary to modify classical adaptive algorithms to cancel the noise. Thus, a well established theory exists for filtered-error adaptive FIR filters, with a special mention for the FxLMS algorithm. However, when ...