i-manager Publications

i-manager's Journal on Communication Engineering and Systems (JCS)

Current Issue Vol. 12 Issue 2

Most Cited

Volume 3 Issue 4 August - October 2014

Research Paper

Theoretical Estimation of Electromagnetic RadiationFrom Different Cellular Networks

S. Venkatesulu* , S. Varadarajan, M. Sadasiva, B. Dilli kumar, K. Harshavardhan Reddy

* Associate Professor, YITS, Tirupati.

Professor, SV University, Tirupati.

*-***** Assistant Professor, YITS, Tirupati.

Venkatesulu, S., Varadarajan, S., Sadasiva, M., Kumar, B. D. and Reddy, K. H. (2014). Theoretical Estimation of Electromagnetic Radiation from Different Cellular Networks. i-manager’s Journal on Communication Engineering and Systems, 3(4), 1-7. https://doi.org/10.26634/jcs.3.4.3223

Abstract

This paper focuses on the electromagnetic radiation from various emblematic cellular mobile base stations in the urban, semi urban and rural locations. Theoretical assessment of radiofrequency exposure due to cellular base station antennas is treated. The estimation of the Electric field with reference to macro cell towers Installation is derived. From the electric field thus evaluated, magnetic field and power density are determined. Finally, the received power is calculated for the given power density, receiver antenna gain and frequency of the cell towers.

The electric field, magnetic field, power density and radiated power are calculated for the different effective radiated powers, with different operating frequencies, and with distance ranging of 10 meters to 600 meters. The theoretical analysis of the field intensities of the radiation emitted from the RF source, and thus computing radiated power levels at various distances from the RF source, helps in estimating the radius of zone where the radiation level is hazardous.

References

[1]. A. Ahlbom and M. Feychting, (2003). “Electromagnetic Radiation”, British Medical Bulletin, pp.157–165.

[2]. A. Burgess, (2002). “'Comparing National Responses To Perceived Health Risks From Mobile Phone Masts” Health Risk Soc, pp. 175–188.

[3]. N. Cherry,(1999). ”Criticism of the Proposal to Adopt the Icnirp Guidelines for Cell Sites In New Zealand” Lincoln University.

[4]. A. Frey, (1998). “Headaches From Cellular Telephone: Are They Real And What Are The Implications?”, Environ Health Prespect, Vol. 106, No. 3, pp.101-103.

[5]. Girish Kumar (2010). “Report On Cell Tower Radiation”, Submitted to Secretary, DOT, Delhi.

[6]. S.I. Henderson And M.J. Bangay, (2006). ”Survey Of Rf Exposure Levels From Mobiletelephone Base Stations In Australia”, Bio-electromagnetics, pp.73-76.

[7]. ICNIRP (1996). “Health Issues Related To the Use of Hand-Held Radiotelephones And Base Transmitters”, Health Physics, Vol. 70, No. 4, pp.587-593.

[8]. P.D. Inskip and R. Tarone, (2001). ”Cellular-Telephone Use And Brain Tumors”, The New England Journal of Medicine, Vol. 344, No. 2, pp.79-86.

[9]. Md. R. Islam, O. O. Khalifa, L. Ali, A. Azli And M. Zulkarnain, (2006). “Radiation Measurement From Mobile Base Stations At A University Campus In Malaysia”, American Journal of Applied Sciences, Vol.3, No. 4, pp. 1781-1784.

[10]. I. S. Kristiansen, A. S. Elstein, D. Gyrd-Hansen H.W. Kildemoes, And J. B. Nielsen, (2009). “Radiation from Mobile Phone Systems: Is It Perceived As A Threat To People's Health?”, Bioelectromagnetics, Vol.30, No.5, pp.393-401.

[11]. H. Lai, (1997). “ Neurological Effects of Radiofrequency Electromagnetic Radiation Relating To Wireless Communication Technology”, Mobile Phones Conference, Brussels.

[12]. K. Mann and J. Roschke, (1996). “Effects Of Pulsed High-Frequency Electromagnetic Fields On Human Sleep”, Neuro psychobiology, Vol.33, No. 1, pp.41-47.

[13]. Mh. Repacholi, (2002). ”Health Risks From The Use Of Mobile Phones”, Toxicol Lett, Vol.120, pp.323–331.

[14]. S. Selvin, Schulman J. and Merrill D.W., (1992). ”Distance and Risk Measures for The Analysis of Spatial Data: A Study of Childhood Cancers”, Soc. Sci. Med., Vol. 34, No.7, pp.769-777.

[15]. B. Trowe, (2001). “Report on Tetra Strictly For the Police Federation of England and Wales”.

Full Article (HTML)

Pdf

Research Paper

Low Power and Area Efficient Architecture of Pulse Shaping FIR Filter For Digital Up Converter

I. Vinodhini* , M. Thangavel**

* PG Scholar, Department of ECE, Knowledge Institute of Technology, Salem, India.

** Professor, Department of ECE, Knowledge Institute of Technology, Salem, India.

Vinodhini, I., and Thangavel, M. (2014). Low Power and Area Efficient Architecture of Pulse Shaping Fir Filter For Digital Up Converter. i-manager’s Journal on Communication Engineering and Systems, 3(4), 8-14. https://doi.org/10.26634/jcs.3.4.3224

Abstract

FIR filters are widely used in wireless mobile communication systems such as channel equalization, matched filtering, and pulse shaping, due to their stability and reconfigurability. In this paper, the pulse shaping FIR filter such as root-raised cosine filter is designed for multistandard digital up converter. The two bit binary common sub-expression based binary common sub-expression elimination algorithm is used to ignore the occurrences in identical bit pattern. The number of additions and multiplications are reduced using this technique. Carry save adder is used to generate the partial product which reduces the area and increases the speed. The area and speed of the filter design is synthesized and simulated using Xilinx ISE 12.1.

References

[1]. Ankita Mandal, Vikas Mittal, (2012). “Review of Architectures for Low Power and Reconfigurable FIR Filters”, International Journal of Computing and Corporate Research, Vol.2, No.4, pp.256-264.

[2]. Anshika Rajolia and Maninder Kaur, (2013). “Finite Impulse Response (FIR) Filter Design using Canonical Signed Digits”, International Journal of Science and Research, Vol.2, no.7, pp.268-273.

[3]. Baha Ali Nasir, (2014). “Efficient Programmable Finite Impulse Response Filter Using Xilinx MAC FIR Filter for Software Defined Radio”, International Journal of Recent Technology and Engineering, Vol.2, No.6, pp.256-260.

[4]. Durairajaa, N. Joyprincy, J. and Palanisamy, M. (2013). “Design of Low Power and Area Efficient Architecture for Reconfigurable FIR Filter”, International Journal of Recent Technology and Engineering, Vol.2, No.1, pp.308-316.

[5]. Indranil Hatai, Indrajit Chakrabarti, and Swapna Banerjee, (2014). “An Efficient VLSI Architecture of a Reconfigurable Pulse-Shaping FIR Interpolation Filter for Multistandard DUC”, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Vol.7, No.2, pp.1063-8210.

[6]. Jijina, G.O. and Ranganathan, V. (2014). “Low Power Architecture for Reconfigurable Fir Filter for SDR”, World Applied Sciences Journal, Vol.3, No.2, pp.164-168.

[7]. Mahesh, R. and Vinod, A.P. (2010). “New Reconfigurable Architectures for Implementing FIR Filters with Low Complexity”, IEEE Transactions on Computer- Aided Design of Integrated Circuits and Systems, Vol.29, No.2, pp.504-526.

[8]. Marcos Martínez-Peiro, Eduardo Boemo, I. and Lars Wanhammar, (2002). “Design of High-Speed Multiplierless Filters Using a Nonrecursive Signed Common Subexpression Algorithm”, IEEE transactions on circuits and systems-II, Vol.49, No.3, pp.356-369.

[9]. Mercedes Granda, Gustavo Ruiz, A. (2011). “Efficient Canonic Signed Digit Recoding”, Microelectronics Journal, Vol.5, No.7, pp.1090-1097.

[10]. Oscar Gustafsson, (2007). “Lower Bounds for Constant Multiplication Problems”, IEEE transactions on circuits and systems-II, Vol.54, No. 11,pp.956-964.

[11]. Pramod Kumar Meher, Shrutisagar Chandrasekaran, and Abbes Amira, (2008). “FPGA Realization of FIR Filters by Efficient and Flexible Systolization Using Distributed Arithmetic”, IEEE transactions on signal processing, Vol.56, No.7,pp.754-758.

[12]. Rajendra Rewatkar, M. and Sanjay Badjate, L. (2014). “Optimization of Multirate Polyphase Decimator using MCM and Digit Serial Architecture”, International Journal of Computer Science and Information Technologies, Vol.5, pp. 3899-3906.

[13]. Sheng-Chieh Huang, Feng-Sung Yang, Chung-Wei Ku, and Liang-Gee Chen, (2004). “Power-Efficient FIR Filter Architecture Design for Wireless Embedded System”, IEEE transactions on circuits and systems-II,Vol.51, No.1,pp.720- 726.

[14]. Shrikant Patel, (2013). “Design and Implementation Of 31-Order FIR Low-Pass Filter Using Modified Distributed Arithmetic based On FPGA”, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, Vol.2, No.10, pp.650-656.

[15]. Thenmozhi, M. Kirthika, N. (2012). “Analysis of Efficient Architectures for FIR Filters using Common Subexpression Elimination Algorithm”, International Journal of Scientific & Technology Research, Vol.1, No.4, pp.422-435.

Full Article (HTML)

Pdf

Research Paper

MIMO-OFDM-IDMA Based Underwater Acoustic Communication For Multiuser Multichannel

Manish Kumar Nandanwar* , Karamtot Krishna Naik**

* M.Tech Student, Electronics Engineering Defense Institute of Advanced Technology, Pune.

** Assistant Professor, Electronics Engineering Defense Institute of Advanced Technology, Pune.

Nandanwar, M. K., and Naik, K., K. (2014). MIMO-OFDM-IDMA Based Underwater Acoustic Communication For Multiuser Multichannel. i-manager’s Journal on Communication Engineering and Systems, 3(4), 15-21. https://doi.org/10.26634/jcs.3.4.3225

Abstract

The objective of this paper is to present Underwater Communication technique that provides uninterrupted and reliable service in shallow water for MIMO application. Acoustic sensor network is based on combination of Interleave-division multiple access (IDMA) and orthogonal frequency division multiplexing (OFDM), the OFDM is a modulation technique where signal splits into multiple sub-signals and simultaneously transmitted at different frequencies to the receiver. IDMA is an alternative of Code Division Multiple Access (CDMA) that distinguishes each user with the unique random interleaver code. The OFDM- IDMA is imperial design for reducing error bursts that occur in multi-access underwater applications. The authors have implemented above techniques for Multiple Inputs Multiple Outputs (MIMO), to transfer more data using same bandwidth at the same time, therefore technique is known as MIMO-OFDM-IDMA. MIMO-OFDM-IDMA which is a new concept, having the capability of high rate transmission and robustness against multi-path fading and other channel impairments. The results of MIMO-OFDM-IDMA have been analyzed with theory and simulation.

References

[1]. Lance Linton, Phillip Conder, and Michael Faulkner, (2008). “Multiuser Communications for Underwater Acoustic Networks using MIMO-OFDM-IDMA”, IEEE 2008, Victoria University, Melbourne, Australia, pp.1-8

[2]. L. Ping, L. Liu, K. Wu and W. K. Leung, (2006). “Interleave Division Multiple Access,” IEEE Transactions on Wireless Communication, Vol. 5, No. 4, pp. 938-947.

[3]. Baosheng Li, Student Member, IEEE, Jie Huang, Shengli Zhou, Member, IEEE, Keenan Ball, (2009). "MIMO-OFDM for High-Rate Underwater Acoustic Communications" IEEE Journal Of Oceanic Engineering, Vol. 34, No. 4, pp.634- 644.

[4]. Milica Stojanovic, Lee Freitag, and Peter Willett, C. Etter, (1991). “Underwater Acoustic Modelling: Principle, Techniques and Applications”, Elsevier Science Publishers.

[5]. G. Selvakumar and M. Shanthi, (2011). “IDMA based Communication for Next Generation (4G)” International Conference on VLSI, Communication & Instrumentation (ICVCI), Proceedings published by International Journal of Computer Applications®, Vol.2, No.1.

[6]. Andreja Radosevic, Rameez Ahmed, Tolga M. Duman, John G. Proakis and Milica Stojanovic, (2013). “Adaptive O F D M M o d u l a t i o n f o r U n d e r w a t e r A c o u s t i c Communications: Design Considerations and Experimental Results”, IEEE Journal of Oceanic Engineering, Vol.39, No.2, pp.357-370.

[7]. C.Nithiya, R.Rani kowsalya, M.Prabakaran, (2013). "Error Control and performance Analysis of MIMO-OFDM Over Fading Channels", IOSR Journal of Electronics and Communication Engineering, e-ISSN: 2278-2834, p-ISSN: 2278-8735, Vol. 6, No. 4. pp.12-18.

[8]. K. Kusume, G. Bauch and W. Utschick, (2012). “IDMA vs. CDMA: analysis and comparison of two multiple access schemes”, IEEE Transactions on Wireless Communication, Vol.11, No.1, pp. 78-87 .

[9]. Zaihan Jiang (2008). "Underwater Acoustic Networks – Issues and Solutions", International Journal of Intelligent Control and Systems, Vol.13, No.3, pp.152-161.

[10]. Sandeep Kumar Dwivedi, Vaibhav Purwar, Sanjiv Mishra, (2014). "BER Performance of “OFDM-IDMA” Comparison to OFDM for Femtocell", International Journal of Scientific and Research Publications, Vol. 4, No. 3.

Full Article (HTML)

Pdf

Research Paper

Frequency-Domain Equalization for Delta Modulation in Mobile Communication

Ramya S.* , B. Yuvarani**

*Student, Embedded System Technologies, K.S.R college of Engineering, Tiruchengode, Namakkal

**Assistant Professor, K.S.R college of Engineering, Tiruchengode, Namakkal.

Ramya, S., and Yuvarani, B. (2014). Frequency-Domain Equalization for Delta Modulation in Mobile Communication. i-manager’s Journal on Communication Engineering and Systems, 3(4), 22-26. https://doi.org/10.26634/jcs.3.4.3226

Abstract

Two receiver architectures for equalization of multi-h continuous phase modulation (CPM) are presented. In the first technique, the receiver front end is a matched-filter bank, which is obtained from Laurent decomposition of the signal. In the circulant-matrix model, samples of the matched filter are used to perform the equalization in frequency domain. The second technique employs a receiver with a simple front end consisting of a low-pass filter and a fractional sampler. Acirculant matrix model for the latter approach is devised, which relates the Laurent pseudo-symbols to each polyphase component at the output of the sampler. In this paper, delta modulation can simulate both analog and digital signals, during reception the noise will be removed by using Gaussian filter. In this method, turbo coding is used to increase the data rate in mobile communication.

References

[1]. J. B. Anderson, T. Aulin, and C. Sundberg, (1986). “Digital Modulation”. New York, NY, USA: Plenum.

[2] B. W. Peterson, D. R. Stephens, and W. H. Tranter, (2002). “DFSE equalization of dual-h CPM over UHF MILSATCOM channels,” Proc. MILCOM, Vol. 2, pp. 1406–1411.

[3]. I.Sasase and S. Mori, (1991). “Multi-h phase-coded modulation,” IEEE Commun. Mag., Vol. 29, No. 12, pp. 46–56.

[4]. M. Geoghegan, (2000). “ Description and performance results for a multi]-h CPM telemetry waveform,” in Proc. MILCOM, Vol. 1, pp. 353–357.

[5]. M. Rice, A. Davis, and C. Bettweiser, (2004). “Wideband channel model for aeronautical telemetry,” IEEE Trans. Aerosp. Electron.Syst., Vol. 40, No.1,pp. 57–69.

[6]. F.Pancaldiet al., (2008). “Single-carrier frequency domain equalization,” IEEE Signal Process. Mag., Vol. 25, No. 5, pp. 37–56.

[7]. W.Tang and E. Shwedyk, (2000). “A quasi-optimum receiver for continuous phase modulation,” IEEE Trans. Commun., Vol. 48, No. 7, pp. 10871090.

[8]. P. Moqvist and T. M. Aulin, (2003). “Orthogonalization by principal components applied to CPM,” IEEE Trans. Commun., Vol. 51, No. 11, pp. 1838– 1845.

[9]. P. Laurent, (1986). “Exact and approximate construction of digital phase modulations by superposition of amplitude modulated pulses (AMP),” IEEE Trans. Commun., Vol. 34, No. 2, pp. 150–160.

[10]. U. Mengali and M. Morelli, (1995). “Decomposition of M-ary CPM signals into PAMwaveforms,” IEEE Trans. Inf. Theory, Vol. 41, No. 5, pp. 1265– 1275.

[11]. G. K. Kaleh, (1989). “Simple coherent receivers for partial response continuous phase modulation,” IEEE J. Sel. Areas Commun., Vol. 7, No. 9, pp. 1427–1436.

[12]. E. Perrins and M. Rice, (2005). “PAM decomposition of M-ary multi-h CPM”, IEEE Trans. Commun., Vol. 53, No. 12, pp. 2065–2075.

[13]. E. Perrins and M. Rice, (2007). “Reduced-complexity detectors for Multi-h CPMin aeronautical telemetry,” IEEE Trans. Aerosp. Electron. Syst., Vol. 43, No. 1, pp. 286–300.

[14]. S. Saleem and G. L. Stüber, (2012). “Linear diophantine constrained intrafix for frequency domain equalization of Multi-h CPM,” IEEE Trans. Commun., Vol. 60, No. 8, pp. 2265–2274.

[15]. J.Tan and G. L. Stüber, (2005). “Frequency-domain equalization for continuous phase modulation,” IEEE Trans. Wireless Commun., Vol. 4, No. 5,pp. 2479–2490.

[16]. F. Pancaldi and G. M. Vitetta, (2006). “Equalization algorithms in the frequency domain for continuous phase modulations,” IEEE Trans.Commun., Vol. 54, No. 4, pp. 648–658.

[17]. W. Thilloet al. (2009). “Low-complexity linear frequency domain equalization for continuous phase modulation,” IEEE Trans. Wireless Commun., Vol.8, No. 3, pp. 1435–1445.

[18]. C. Park and B. F. Womack, (2011). “Frequency domain processing forcyclic prefix-assisted multi-h CPM block transmission,” Proc. IEEE MILCOM, pp. 329–333.

[19]. Z.Wang and G. Giannakis, (2000). “Wireless multicarrier communications,”IEEE Signal Process. Mag., Vol. 17, No. 3, pp. 29– 48.

[20]. P. P. Vaidyanathan, S. Phoong, and Y. Lin, (2010). “Signal Processing and Optimizationfor Transceiver Systems”. Cambridge, U.K.: Cambridge Univ.Press.

[21]. JI.S. Jacobs and C.P. Bean, (1963). “Fine particles, thin films and exchange anisotropy,” in Magnetism, G.T. Rado and H. Suhl, Eds. New York: Academic, Vol. 3, pp. 271-350.

[22]. Y. Yorozu, M. Hirano, K. Oka, and Y. Tagawa, (1987). “Electron spectroscopy studies on magneto-optical media and plastic substrate interface,” IEEE Transl. J. Magn. Japan, Vol. 2, pp. 740-741.

[23]. M. Young, (1989). “The Technical Writer's Handbook”, Mill Valley, CA: University Science, pp.232.

Full Article (HTML)

Pdf

Research Paper

Advanced Digital Audio Recording Technique With MPEG1 Layer III For Airborne Application

Kushmendra Patel* , Karamtot Krishna Naik**

*M.Tech Student, Electronics Engineering Defense Institute of Advanced Technology, Pune.

** Assistant Professor, Electronics Engineering Defense Institute of Advanced Technology, Pune.

Patel, K., and Naik, K. K. (2014). Advanced Digital Audio Recording Technique With Mpeg1 Layer III For Airborne Application. i-manager’s Journal on Communication Engineering and Systems, 3(4), 27-33. https://doi.org/10.26634/jcs.3.4.3227

Abstract

This paper proposes the development of advanced audio recording techniques for airborne fighter aircrafts as many fighters are currently using audio tape recorders which are causing lots of inconvenience for the storage and analysis. This paper provides guidelines for the design and development of electronic system for defence applications. Currently verities of electronics devices are commercially available with modern technologies but not mature for defence application, because it required rigorous qualification testing to work under specified MIL conditions. This paper proposes an advanced Hardware and software designs with Mpeg 1 layer III audio coding and compression for defence applications by replacing tape recorder. This paper provides an in depth theory behind hardware requirement and the MPEG-1 Layer III standard, which is useful for implementation of a Digital Audio Recorder. The authors have developed and simulated the proposed concept using Matlab and found the audio quality satisfactory for airborne application

References

[1]. MIL-STD-202G w/c change (2013). “Department of Defense Test Method Standard Electronic and Electrical Component Parts”.

[2]. Sen M kuo,Bob H. Lee and Wenshun Tian (2006). “Real time digital signal Processing”, Second edition, pp. 531- 544.

[3]. Scot Hacker (2000). “MP3: The Definitive Guide”, Publisher: O’Reilly, First Edition, pp.400.

[4]. Jie Zhu,Rangding Wang,Juan Li,Diqun Yan (2011). “The Filter bank in MP3 and AAC Encoders: A Comparative Analysis”, IEEE, pp.1110-1113.

[5]. T. Painter, A. Spanias(2000). “Perceptual Coding of Digital Audio[C]”, Proceedings of the IEEE, Vol.88, No.4, pp. 451-515.

[6]. Roselina Arelhi, Douglas R. Campbell (2003). “A MATLAB Simulink Implementation of Speech Masking Based on the MPEG Psychoacoustic Model 1”. 3rd International Symposium on Image and Signal Processing and Analysis, Vol. 1, pp.543-548.

[7]. D. Pan, (1995). “A Tutorial on MPEG/Audio Compression”, IEEE Multimedia, Vol. 2, No. 2, pp. 60-74.

[8]. Vladimir Britanak and K. R. Rao (2001). “An Efficient Implementation of the Forward and Inverse MDCT in MPEG Audio Coding,”. IEEE signal processing letters, Vol. 8, No. 2.

[9]. P. Duhamel, Y. Mahieux, J. P. Petit, (May 1991). “A fast algorithm for the implementation of filter banks based on time domain aliasing cancellation”, Proceeding IEEE Int. Conf. Acoustics, Speech, and Signal Processing. Vol.3, pp. 2209–2212.

[10]. R. Raissi,( 2002). “The theory behind MP3”.

i-manager's Journal on Communication Engineering and Systems (JCS)

Current Issue Vol. 12 Issue 2

Most Read

Most Cited

Volume 3 Issue 4 August - October 2014

Theoretical Estimation of Electromagnetic RadiationFrom Different Cellular Networks

S. Venkatesulu* , S. Varadarajan**, M. Sadasiva***, B. Dilli kumar****, K. Harshavardhan Reddy*****

* Associate Professor, YITS, Tirupati. ** Professor, SV University, Tirupati. ***-***** Assistant Professor, YITS, Tirupati.

Venkatesulu, S., Varadarajan, S., Sadasiva, M., Kumar, B. D. and Reddy, K. H. (2014). Theoretical Estimation of Electromagnetic Radiation from Different Cellular Networks. i-manager’s Journal on Communication Engineering and Systems, 3(4), 1-7. https://doi.org/10.26634/jcs.3.4.3223

Abstract

References

Full Article (HTML)

Pdf

Low Power and Area Efficient Architecture of Pulse Shaping FIR Filter For Digital Up Converter

I. Vinodhini* , M. Thangavel**

* PG Scholar, Department of ECE, Knowledge Institute of Technology, Salem, India. ** Professor, Department of ECE, Knowledge Institute of Technology, Salem, India.

Vinodhini, I., and Thangavel, M. (2014). Low Power and Area Efficient Architecture of Pulse Shaping Fir Filter For Digital Up Converter. i-manager’s Journal on Communication Engineering and Systems, 3(4), 8-14. https://doi.org/10.26634/jcs.3.4.3224

Abstract

References

Full Article (HTML)

Pdf

MIMO-OFDM-IDMA Based Underwater Acoustic Communication For Multiuser Multichannel

Manish Kumar Nandanwar* , Karamtot Krishna Naik**

* M.Tech Student, Electronics Engineering Defense Institute of Advanced Technology, Pune. ** Assistant Professor, Electronics Engineering Defense Institute of Advanced Technology, Pune.

Nandanwar, M. K., and Naik, K., K. (2014). MIMO-OFDM-IDMA Based Underwater Acoustic Communication For Multiuser Multichannel. i-manager’s Journal on Communication Engineering and Systems, 3(4), 15-21. https://doi.org/10.26634/jcs.3.4.3225

Abstract

References

Full Article (HTML)

Pdf

Frequency-Domain Equalization for Delta Modulation in Mobile Communication

Ramya S.* , B. Yuvarani**

*Student, Embedded System Technologies, K.S.R college of Engineering, Tiruchengode, Namakkal **Assistant Professor, K.S.R college of Engineering, Tiruchengode, Namakkal.

Ramya, S., and Yuvarani, B. (2014). Frequency-Domain Equalization for Delta Modulation in Mobile Communication. i-manager’s Journal on Communication Engineering and Systems, 3(4), 22-26. https://doi.org/10.26634/jcs.3.4.3226

Abstract

References

Full Article (HTML)

Pdf

Advanced Digital Audio Recording Technique With MPEG1 Layer III For Airborne Application

Kushmendra Patel* , Karamtot Krishna Naik**

*M.Tech Student, Electronics Engineering Defense Institute of Advanced Technology, Pune. ** Assistant Professor, Electronics Engineering Defense Institute of Advanced Technology, Pune.

Patel, K., and Naik, K. K. (2014). Advanced Digital Audio Recording Technique With Mpeg1 Layer III For Airborne Application. i-manager’s Journal on Communication Engineering and Systems, 3(4), 27-33. https://doi.org/10.26634/jcs.3.4.3227

Abstract

References

Full Article (HTML)

Pdf

S. Venkatesulu* , S. Varadarajan, M. Sadasiva, B. Dilli kumar, K. Harshavardhan Reddy

* Associate Professor, YITS, Tirupati.

Professor, SV University, Tirupati.

*-***** Assistant Professor, YITS, Tirupati.

* PG Scholar, Department of ECE, Knowledge Institute of Technology, Salem, India.

** Professor, Department of ECE, Knowledge Institute of Technology, Salem, India.

* M.Tech Student, Electronics Engineering Defense Institute of Advanced Technology, Pune.

** Assistant Professor, Electronics Engineering Defense Institute of Advanced Technology, Pune.

*Student, Embedded System Technologies, K.S.R college of Engineering, Tiruchengode, Namakkal

**Assistant Professor, K.S.R college of Engineering, Tiruchengode, Namakkal.

*M.Tech Student, Electronics Engineering Defense Institute of Advanced Technology, Pune.

** Assistant Professor, Electronics Engineering Defense Institute of Advanced Technology, Pune.