Complementary infinite-impulse response (IIR) filter pairs can be synthesized to generate power-complementary, allpass complementary, or magnitude-complementary filter pairs (see, e.g., [1]). A very attractive alternative to generate a power-complementary low-pass/high-pass IIR filter pair is to use lattice wave digital (LWD) filters (parallel connections of two all-pass filters) [2]–[4]. Usual...

--Electrocardiogram has considerable diagnostic significance, and application of ECG monitoring are diverse and in wide use. For diagnosticquality ECG recordings, signal acquisition must be noise free. The signal acquisition is susceptible to the interference from other biological and environmental sources. This article presents the application of the digital IIR filter on the raw ECG signal. T...

A particle swarm optimization (PSO) algorithm with constriction factor and inertia weight is applied for magnitude approximation of infinite impulse response (IIR) filter based on L1-approximation error criterion. The proposed particle swarm optimization algorithm, which is a population-based stochastic optimization technique enhances the search capability and provides a fast convergences for c...

This paper presents different pipelining approach for higher order recursive digital filter. The performance of the filter is increased by pipelining the filter. Clustered look-ahead, scattered look-ahead pipelining methods and implementation of IIR filter in FPGA are analyzed. Clustered look-ahead pipeline is not always stable. To achieve a stable pipeline filter scattered look-ahead pipelinin...

Abstract Having local data communication (without global broadcast of signals) among the elements is important in very large scale integration (VLSI) designs. Recently, 2-D systolic digital filter architectures were presented which eliminated the global broadcast of the input and output signals. In this paper a generalized formulation is presented that allows the derivation of various new 2-D V...

A new approach for the adaptive algorithm of a fully connected recurrent neural network (RNN) based upon the digital filter theory is proposed. Each recurrent neuron is modeled by using an infinite impulse response (IIR) filter. The weights of each layer in the RNN are updated adaptively so that the error between the desired output and the RNN output can converge to zero asymptotically. The pro...

The eigenfilter method for digital filter design involves the computation of filter coefficients as the eigenvector of an appropriate Hermitian matrix. Because of its low complexity as compared to other methods as well as its ability to incorporate various time and frequency-domain constraints easily, the eigenfilter method has been found to be very useful. In this paper, we present a review of...

In signal processing, the function of a filter is to remove unwanted parts of the signal, such as random noise, or to extract useful parts of the signal, such as the components lying within a certain frequency range. This paper presents the comparisons of Digital FIR &IIR filter complexity and their performances to remove Baseline noises from the ECG signal hence it is desirable to remove these...

Abstract—We present a subband adaptive infinite-impulse response (IIR) filtering method, which is based on a polyphase decomposition of IIR filter. Motivated by the fact that the polyphase structure has benefits in terms of convergence rate and stability, we introduce the polyphase decomposition to subband IIR filtering, i.e., in each subband high order IIR filter is decomposed into polyphase I...

In this paper, a novel technique is introduced for the design of recursive digital filters in the state space form. The Roesser’s state space model has been used for the spatial domain representation of the 2-D causal recursive digital filters. This model divides the local state into a horizontal and a vertical state which are propagated in horizontal and vertical directions respectively. The d...