-This paper proposes a solution methodology for the design of optimal and stable digital infinite impulse response (IIR) band pass (BP) filter by employing the cat swarm optimization (CSO) algorithm with the incorporation of oppositional learning strategy. The error surface of digital IIR filters is non linear and multimodal because of the presence of the denominator terms. Therefore, the tradi...

Generally Digital Signal Processing is Mathematical manipulation of the signals. The manipulation parameters may get differ from one technique to another. In this paper IIR Butterworth filters has been designed for various orders to analyze group delay. The developed IIR filters are designed and simulated using matlab with different filter orders. The simulated results shows that IIR filters wi...

Infinite Impulse Response (IIR) filter is of recursive type filter. The present output sample of an IIR filter depends on the present input samples, past input samples and past output samples. There are a number of techniques available to determine the digital IIR Filters. This paper is based on the computer based approach to design the digital IIR filter along with the calculation of filter co...

Adaptive infinite-impulse-response (IIR) filtering provides a powerful approach for solving a variety of practical problems. Because the error surface of IIR filters is generally multi-modal, global optimisation techniques are required in order to avoid local minima. We apply a global optimisation method, called the adaptive simulated annealing (ASA), to digital IIR filter design. An important ...

The research on optimal design of Infinite-impulse response (IIR) filter design based on various optimization techniques including evolutionary algorithms EA’s, has gained much attention in recent years. Previously, digital IIR filter’s parameters are encoded using floating point representation. Fixed point representation are used for encoding of digital IIR filter’s parameters because it effec...

We have developed, implemented and validated a set of flexible and efficient iterative image reconstruction (IIR) and processing methods for clinical positron emission tomography (PET) static or dynamic studies. IIR techniques are shown to produce images of better contrast and signal-to-noise ratio than the conventional filtered back-projection (FBP). Their high computational cost has been a si...

This paper proposes a novel active noise control (ANC) approach that uses an IIR filter and neural network techniques to effectively reduce interior noise. We construct a multiple-channel IIR filter module which is a linearly augmented framework with a generic IIR model to generate a primary control signal. A three-layer perceptron neural network is employed for establishing a secondary-path mo...

Digital filters can be broadly classified into two groups: recursive (infinite impulse response (IIR)) and non-recursive (finite impulse response (FIR)). An IIR filter can provide a much better performance than the FIR filter having the same number of coefficients. However, IIR filters might have a multi-modal error surface. Therefore, a reliable design method proposed for IIR filters must be b...

Intestinal ischemia-reperfusion (IIR) injury affects other organs, like the liver. Glutamine may offer liver protection, following IIR injury. Four groups of rats were studied. In Group A, the animals were subjected to 90 minutes of IIR. In Group B Alanyl-Glutamine dipeptide was administered prior to IIR. Group C, was the sham, and in Group D, the animals were given Alanyl-Glutamine dipeptide, ...

The capabilities of Locally Recurrent Neural Networks (LRNNs) in performing on-line Signal Processing (SP) tasks are well known [1,3,5,6,10,11,14,15]. In particular one of the most popular architecture is the Multi Layer Perceptron (MLP) with linear IIR temporal filter synapses (IIR-MLP) [3,5,10,11,14,15]. IIR-MLP is theoretically motivated as a non-linear generalization of linear adaptive IIR ...