JoCES

STM JOURNALSScientific Technical Medical

May - August 2014

Journal of Communication Engineering & Systems

ISSN: 2321-5151

Ÿ Implementation of Compression and Decompression using LZW Algorithm

Ÿ Implementation of Direct Sequence Spread Spectrum using MATLAB

Ÿ Relative Performance of BPSK and BFSK in Underground Mine Communication Considering

Multipath and Bending Losses

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(ISSN: 2321–5151)

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Industrial Tribology Machine Dynamics & Maintenance

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Alternative Energy Technology Laboratory,

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of Technology Durgapur, India.

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Engineering,Vizianagaram , Andhra Pradesh, India.

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Institute of Technology, Sathyamangalam,India.

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Amman Institute of technology, Erode, India.

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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.

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ups/ 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.

Dr. Archana Mehrotra

Director

STM Journals

Director's Desk

STM JOURNALS

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

2. Implementation of Direct Sequence Spread Spectrum using MATLAB Nithyashree S., Karthik S. 7

3. Relative Performance of BPSK and BFSK in Underground Mine Communication Considering Multipath and Bending LossesDr. M. N. Jayaram, Dr. C. R. Venugopal 12

ContentsJournal of Communication Engineering & Systems

JoCES (2014)© STM Journals 2014. All Rights Reserved

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

1Dr. AIT, Outer Ring Road, Malathahalli, Bengaluru, Karnataka 560056, India

2NCET, 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

JoCES (2014) © STM Journals 2014. All Rights Reserved

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

1Dr.AIT, Outer Ring Road, Malathahalli, Bengaluru, Karnataka 560056, India

2NCET, 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

JoCES (2014) © STM Journals 2014. All Rights Reserved

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