This paper introduces a class of two-channel hybrid analog and IIR digital filter banks that approximates perfect magnitude reconstruction. It is an extension of a recently introduced class but that uses IIR instead of FIR synthesis filters. Using IIR filters the computational complexity can be reduced. This is demonstrated by means of an example. The filters are designed by making use of linea...

The transfer function of IIR all-pass filters is a rational function of ω. However, the optimization of such a rational function using the successive projections method, which has a wider range of application than the Remez algorithm, has not been presented. In this paper, we propose designing IIR allpass filters using the successive projections method. key words: successive projections method,...

We develop a canonical, adaptive cascade-structure IIR notch filter to detect and track multiple time-varying frequencies in additive white Gaussian noise. The algorithm uses allpass frequency transformation filters and a truncated gradient. Simulations indicate that our algorithm is computationally simple, converges rapidly, and has good frequency resolution.

This paper introduces the application of particle swarm optimization techniques to generalized adaptive nonlinear and recursive filter structures. Particle swarm optimization (PSO) is a population based optimization algorithm, similar to the genetic algorithm (GA), that performs a structured randomized search of an unknown parameter space by manipulating a population of parameter estimates to c...

Evolutionary programming (EP) has been used for the adaptation (optimization) of IIR filters. In a previous study [1], the rate of optimization using EP was shown to be dependent on the structure of the filter used during realization. Furthermore, this dependency changes with the filter order. In this paper, the reasons for such a dependence are investigated. Gradient-based algorithms are also ...

A h d W e consider the identification of stable linear systems whose unknom parameters may be interpreted as feedback gains. By using the output e m r between the true system and a model of it containing adjustable parameters. we develop a recursive algorithm for estimating the unknown parameten. We describe a persistency of excitation wndition on the system input which guarantees a robust, loc...

Adaptive infinite impulse response (IIR) digital filter implemented using a cascade of second order direct form allpass filters and a finite impulse response (FIR) filter, has the property of its poles converging to those of the unknown system. In this paper we implement the adaptive allpass-FIR digital filter using a lattice allpass filter with minimum number of multipliers. We then derive a s...

Although IGF-II activating the IGF-II receptor signaling pathway has been found to stimulate cardiomyocyte hypertrophy, the role of IGF-II in cardiac cell apoptosis remains unclear. This study aimed to identify the roles of IGF-II and/or IGF-II receptors (IGF-II/IIR) in cardiomyoblast apoptosis and in hypertensive rat hearts with abdominal aorta ligation. Cultured rat heart-derived H9c2 cardiom...

A new feedback-based methodology for the implementation of a fractional-order differentiator (FD) is described in this paper. The differentiator can be based on a standard definition of the fractional calculus, such as the Riemann-Liouville or Grunwald-Letnikov definitions. Some methods by which the FD functions can be approximated using a DSP-based implementation (either FIR or IIR) are descri...

The study of joint transmit-receive design over multi-input multioutput (MIMO) channels representing a wireless channel with spatial diversity at both ends is nowadays receiving a signi cant attention. The theoretical closed-form solutions obtained so far are given in the continuous-frequency domain corresponding in general to IIR lters. When those lters are to be implemented in a discrete-time...