Design and analysis of low pass FIR & IIR filter and find optimum result using Neural Network

Mr. Girish Chandra Tripathi; Awadhesh Gupta

Design and analysis of low pass FIR & IIR filter and find optimum result using Neural Network

Mr. Girish Chandra Tripathi * §

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Awadhesh Gupta

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§ GBTU Lucknow

Design and analysis of low pass FIR & IIR filter and find optimum result using Neural Network

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Design and analysis of low pass FIR & IIR filter and find optimum result using Neural Network Banner

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Abstract

This paper is only based on the computational analysis. First of all taking window method for designing low pass FIR filter and the window equation for the different window is coded in the Matlab and find out the result by changing filter order randomly 21 to 54 and find out there results the width of main lobe and number of side lobes 0.4330 to 0.7500 and 4 to 15 respectively. But our goal to find out the width of main lobe is 0.4000 and minimum sides lobes, and then using same parameters for IIR filter we design an IIR filter and then we compare the FIR and IIR filter to find the best result, so for this optimization all data is coded in the Matlab and then by the help of Neural Network we find out the best result after simulation.

References

5 Cites in Article

Reference Format

K Sanjit,Mitra (2001). Digital Signal Processing: A Computer-Based Approach.
Salivahanan (2000). Digital Signal Processing.
B Shenoi (2006). Introduction to Signal Processing and Filter Design.
Andreas Antoniou (2006). Digital Signal Processing: Signal System and Filter.
Satish Kumar (2004). Neural Networks: A Classroom Approach.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Mr. Girish Chandra Tripathi, Awadhesh Gupta. 1970. "Design and analysis of low pass FIR & IIR filter and find optimum result using Neural Network". Global Journal of Research in Engineering GJRE Volume 10 (GJRE Volume 10 Issue 7).

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GJRE Volume 10 Issue 7

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Keywords

Not Found

Classification

GJRE-J FOR Classification 100508

Submission ReceivedFebruary 11, 2010
Peer Review Double Blind
Handling Editor
Accepted March 5, 2010
Published March 15, 2010

Version of record

v1.2

Issue date

December 10, 2010

Language

English

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Article Matrices

Total Score: 102

Country: India

Subject: Global Journal of Research in Engineering

Authors: Mr. Girish Chandra Tripathi,Awadhesh Gupta (PhD/Dr. count: 0)

View Count (all-time): 136

Total Views (Real + Logic): 8216

Total Downloads (simulated): 540

Publish Date: 2010 03, Mon

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