ic-component-iir filter

iir filter


IIR filters are digital filters with infinite impulse response. The primary advantage of IIR filters over FIR filters is that they typically meet a given set of specifications with a much lower filter order than a corresponding FIR filter. Although IIR filters have nonlinear phase,

Suppression of baseline wander and power line interference in ECG using digital IIR filter
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Abstract Electrocardiogram has considerable diagnostic significance, and application of ECG monitoring are diverse and in wide use. For diagnostic-quality ECG recordings, signal acquisition must be noise free. The signal acquisition is susceptible to the interference from

Power Line Communication Channel Modelling through Concatenated IIR Filter Elements.
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AbstractAccurate power line channel models are an essential asset for the development of advanced power line communication systems. A physically based power line communication channel model is derived. Elements within a power line network, eg line

Analysis of digital iir filter with labview
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ABSTRACT Aiming at importance of virtual instruments in the field of Digital Signal Processing, a digital IIR Filter system is developed using National Instruments (NI) data LabVIEW software package. All the types of IIR filters like Butterworth filters, Chebyshev

Predator prey optimization method for the design of IIR filter
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Abstract:-The paper develops innovative methodology for the robust and stable design of digital infinite impulse response (IIR) filters using predator-prey optimization (PPO) method. Predator-prey optimization is undertaken as a global search technique and exploratory

Realizable warped IIR filter structures
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ABSTRACT Digital filters where unit delays are replaced with fre-quency-dependent delays, such as first order allpass sec-tions, are often called warped filters since they implement filter specifications on a warped non-uniform fre-quency scale. Warped IIR (WIIR) filters cannot be

A hybrid differential evolution method for the design of IIR digital filter
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A multivariable optimization is employed as the design criterion to obtain the optimal stable IIR filter that minimizes the magnitude approximation error and ripple magnitudeIn the transformation technique, analog IIRfilter is designed and then it is converted to digital IIRfilter

Digital IIR filter design using real coded genetic algorithm
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AbstractThe paper develops a technique for the robust and stable design of digital infinite impulse response (IIR) filters. As the error surface of IIR filters is generally multi-modal, global optimization techniques are required to design efficient digital IIR filter in order to

Heuristic search method for digital IIR filter design
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Abstract:-The paper develops innovative methodology for robust and stable design of digital infinite impulse response (IIR) filters using a heuristic search method. The proposed heuristic search method enhances the capability to explore and exploit the search space

Real coded genetic algorithm for design of IIR digital filter with conflicting objectives
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Received: 4 Oct. 2013, Revised: 1 Jan. 2014, Accepted: 2 Jan. 2014 Published online: 1 Sep. 2014 Abstract: A solution methodology for the design of digital infinite impulse response ( IIR ) filter considering multiple conflicting objectives has been proposed

Half-band IIR filter design using MATLAB
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Half-band filter play an important role in multirate digital signal processing. FIR half-band filters are easily designed to exhibit exactly linear phase, but IIR half-band filters provide higher computation speed at the cost of the phase nonlinearity. Hence, the advantage of IIR

Examples of orthonormal wavelet transform implementad with IIR filter pairs
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ABSTRACT This paper considers the wavelet transform generated by iterating orthonormal power-complementary IIR filter pairs with perfect reconstruction properties. For the implementation of complementary IIR filter pair, the realization structure based on two

Suppression of noise in the ECG signal using digital IIR filter
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Abstract:-The electrocardiogram has considerable diagnostic significance, and application of ECG monitoring are diverse and in wide use. For diagnostic-quality ECG recordings, signal acquisition must be noise free. The signal acquisition is susceptible to the

Optimal IIR filter design using novel particle swarm optimization technique
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AbstractThis paper demonstrates the application of an evolutionary heuristic search technique called Novel Particle Swarm Optimization (NPSO) for the optimal design of 6th and 8th order low pass and band pass Infinite Impulse Response (IIR) filters. Conventional

Complementary IIR filter pairs with an adjustable crossover frequency
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ABSTRACT This paper introduces three classes of complementary recursive low-pass/high- pass filter pairs with an adjustable crossover frequency in such a way that the stopband attenuation of both filters remains the same. For each class, the filter pair is constructed

A MAP estimation algorithm with Gibbs prior using an IIR filter
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Abstract. The MAP method is a wide spread technique used in many signal processing problems, eg, image restoration, denoising and 3D reconstruction. When there is a large number of variables to estimate, the MAP method leads to an huge set of linear or non-linear

Modified PSO based adaptive IIR filter design for system identification on FPGA
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ABSTRACT Field programmable gate arrays (FPGAs) are becoming increasingly important implementation platforms for digital circuits. This paper focuses on the implementation of Adaptive Infinite Impulse response ( IIR ) filter on an FPGA using Modified Particle Swarm

16-order IIR filter design using vedic mathematic technique
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Abstract Digital Signal Processing (DSP) plays vital roles in various engineering applications. Vedic mathematics is the ancient mathematics which has a unique technique of mental calculation with the help of simple rules and principles based on 16 sutras. The

32-order IIR filter Design using Vedic mathematics
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Abstract Digital Signal Processing operation using Vedic mathematics which performs the signal processing operations like Convolution, Circular Convolution, Cross Correlation, auto- correlation and filter design. Digital Signal Processing (DSP) operations are very important



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