Journal of communication engineering & systems (vol4, issue2) by STM Journals Publication

JoCES

ISSN: 2321-5151

Journal of

Communication Engineering & Systems 타 Implementation of Compression and Decompression using LZW Algorithm 타 Implementation of Direct Sequence Spread Spectrum using MATLAB 타 Relative Performance of BPSK and BFSK in Underground Mine Communication Considering

Multipath and Bending Losses

May - August 2014

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I take the privilege to present the hard copy compilation for the [Volume 4 Issue (2)] of Journal of Communication Engineering & Systems (JoCES). The intension of JoCES is to create an atmosphere that stimulates creativeness, research and growth in the area of Communication Engineering & Systems. The development and growth of the mankind is the consequence of brilliant Research done by eminent Scientists and Engineers in every field. JoCES provides an outlet for Research findings and reviews in areas of Communication Engineering & Systems found to be relevant for National and International recent developments & research initiative. The aim and scope of the Journal is to provide an academic medium and an important reference for the advancement and dissemination of Research results that support high level learning, teaching and research in the domain of Communication Engineering & Systems. Finally, I express my sincere gratitude and thanks to our Editorial/ Reviewer board and Authors for their continued support and invaluable contributions and suggestions in the form of authoring writeups/ reviewing and providing constructive comments for the advancement of the journals. With regards to their due continuous support and co-operation, we have been able to publish quality Research/Reviews findings for our customers base. I hope you will enjoy reading this issue and we welcome your feedback on any aspect of the Journal.

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Journal of Communication Engineering & Systems

Contents

1. Implementation of Compression and Decompression using LZW Algorithm Nithyashree S., Karthik S.

2. Implementation of Direct Sequence Spread Spectrum using MATLAB Nithyashree S., Karthik S.

3. Relative Performance of BPSK and BFSK in Underground Mine Communication Considering Multipath and Bending Losses Dr. M. N. Jayaram, Dr. C. R. Venugopal

Journal of Communication Engineering & Systems ISSN: 2249-8613 (online), ISSN: 2321-5151 (print) Volume 4, Issue 2 www.stmjournals.com

Implementation of Compression and Decompression using LZW Algorithm Nithyashree S.1*, Karthik S.2 1

Dr. AIT, Outer Ring Road, Malathahalli, Bengaluru, Karnataka 560056, India 2 NCET, Bangaluru, Karnataka, India

Abstract Many compression techniques are used to minimize the amount of memory that is to be used to store the data. One such compression technique is by using LZW algorithm. The purpose of this is to present a data compression and decompression software to reduce the amount of memory used for storing data. By using data compression, stream of symbols is transformed into codes. For effective compression, the resultant stream of codes will be smaller than the original symbol. LZW is a "dictionary"-based compression algorithm. Here, to encode a substring, only a single code number is used, corresponding to the substring's index in the dictionary, which will be written to the output file. LZW algorithm finds its application in data compression and performs best on files with repeated substrings, such as text files.

Keywords: LZW, compression, decompression, index, string

Journal of Communication Engineering & Systems ISSN: 2249-8613 (online), ISSN: 2321-5151 (print) Volume 4, Issue 2 www.stmjournals.com

Implementation of Direct Sequence Spread Spectrum using MATLAB Nithyashree S.1,* Karthik S.2 1

Dr.AIT, Outer Ring Road, Malathahalli, Bengaluru, Karnataka 560056, India 2 NCET, Bangalore, India

Abstract A major concern in the design of communication system is to provide secure communication. The system may be required to provide a form of secure communication in a hostile environment such that transmitted signal is not easily detected or recognized by unwanted listeners. This requirement is fulfilled by signaling techniques known collectively as spread spectrum modulation. The main advantage of spread spectrum communication system is its ability to reject interference whether it is the unintentional interference or intentional interference of another user simultaneously attempting to transmit through the channel or hostile transmitter attempting to jam the transmission. The spread spectrum signals are used for suppressing the effects of interference due to jamming, interference arising from other users of the channel and self-interference due to multipath propagation. Hiding the signal by transmitting to low power and thus making it difficult for an unintended listener to detect in the presence of background noise. Achieving messaging privacy in the presence of other listeners.

Keywords: Spreading, despreading, direct sequence spread spectrum

Journal of Communication Engineering & Systems ISSN: 2249-8613 (online), ISSN: 2321-5151 (print) Volume 4, Issue 2 www.stmjournals.com

Relative Performance of BPSK and BFSK in Underground Mine Communication Considering Multipath and Bending Losses Dr. M. N. Jayaram*, Dr. C. R. Venugopal Department of E&C, SJCE, Mysore 570006, Karnataka, India Abstract Wireless/Mobile signals get strongly attenuated deep inside a building/tunnel/mine. In order to study the performance parameters, underground communication channel needs to be modeled. As a first step here we have practically tried two digital modulation methods BPSK and BFSK for underground communication. Wireless link was able to support data signals. Various measurements were made up to a depth of 30 m inside the mine. Beyond 30 m as more than 75% of the received signal was attenuated measurements was not possible. Received signal strength, power line noise effects are measured. SNR, Eb/No, Pe (Probability error), penetration loss multi path, and bending loss are calculated up to 30 m depth. Using these results channel modeling can be done. For the measured data we are trying to fit empirical equations.

Keywords: Mine communication, BPSK, BFSK