Advancements of MultiRate Signal processing for Wireless Communication Networks: Current State Of the Art

Advancements of MultiRate Signal processing for Wireless Communication Networks: Current State Of the Art

Dr. D V Srihari Babu

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Dr. P Chandrashekhar Reddy

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α Jawaharlal Nehru Technological University, Hyderabad

Advancements of MultiRate Signal processing for Wireless Communication Networks: Current State Of the Art

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Connecting with the Eternal Ground

Abstract

With the hasty growth of internet contact and voice and information centric communications, many contact technologies have been urbanized to meet the stringent insist of high speed information transmission and viaduct the wide bandwidth gap among ever-increasing highdata-rate core system and bandwidth-hungry end-user complex. To make efficient consumption of the limited bandwidth of obtainable access routes and cope with the difficult channel environment, several standards have been projected for a variety of broadband access scheme over different access situation (twisted pairs, coaxial cables, optical fibers, and unchanging or mobile wireless admittance). These access situations may create dissimilar channel impairments and utter unique sets of signal dispensation algorithms and techniques to combat precise impairments. In the intended and implementation sphere of those systems, many research issues arise. In this paper we present advancements of multi-rate indication processing methodologies that are aggravated by this design trend. The thesis covers the contemporary confirmation of the current literature on intrusion suppression using multi-rate indication in wireless communiqué networks.

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No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

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How to Cite This Article

Dr. D V Srihari Babu. 2012. \u201cAdvancements of MultiRate Signal processing for Wireless Communication Networks: Current State Of the Art\u201d. Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 12 (GJCST Volume 12 Issue E13): .

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GJCST Volume 12 Issue E13
Pg. 9- 22

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Acoustic signal processing audio reconstruction autoregressive (AR) models blocking cyclic spectrum cyclostationarity filterbanks

Submission ReceivedDecember 16, 2011
Peer Review Double Blind
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Accepted January 3, 2012
Published January 15, 2012

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August 21, 2012

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Total Score: 112

Country: India

Subject: Global Journal of Computer Science and Technology - E: Network, Web & Security

Authors: Dr. D V Srihari Babu, Dr. P Chandrashekhar Reddy (PhD/Dr. count: 2)

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