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i-manager's Journal on Electronics Engineering (JELE)

Current Issue Vol. 15 Issue 1

Most Cited

Volume 2 Issue 2 December - February 2012

Research Paper

Contributions to Computational Algorithms for Stiff Lyapunov Differential Equations

Chiu Choi*

Professor, Department of Electrical Engineering, University of North Florida, Jacksonville, FL, USA.

Chiu H. Choi (2012). Contributions to Computational Algorithms for Stiff Lyapunov Differential Equations. i-manager’s Journal on Electronics Engineering, 2(2), 1-10. https://doi.org/10.26634/jele.2.2.1621

Abstract

A discretization method based on the backward differentiation formulas was applied to a stiff Lyapunov differential equation and transformed it into an algebraic Lyapunov equation such that numerically stable method could be applied to compute the numerical solutions. The discretization method allowed the use of variable step size selection strategies in the integration of the matrix differential equations. One such strategy was proposed in this paper. A feature of the strategy is that it permits moving through the interval of integration rapidly in the steady state of the stiff Lyapunov differential equations without exceeding the specified error tolerance. In order to test the accuracy of the discretization method and the proposed step size selection strategy, a stiff Lyapunov differential equation of variable size n×n with known closed form solution was developed. Such an equation is useful not only in this paper but also in the verification of the accuracy of future proposed algorithms for computing the numerical solutions of stiff Lyapunov differential equations. The discretization method was applied to this stiff Lyapunov differential equation with known closed-form solution. The numerical solution computed at every time step was compared with the closed form solution such that the accuracy of the computed solution can be known precisely. Eighteen case studies were conducted in the investigation. The findings were that the discretization approach was a viable method for solving stiff Lyapunov differential equation and the step size control strategy permitted rapid increase of step size of integration in the steady state of the stiff equation.

References

[1]. Bay, J.S. (1999). Fundamentals of Linear State Space Systems, WCB/McGraw-Hill, pp. 342-346.

[2]. Nguyen, T. and Gajic, Z. (2010). Finite Horizon Optimal Control of Singularly Perturbed Systems: A Differential Lyapunov Equation Approach. IEEE Transactions on Automatic Control, Vol. 55, No. 9, pp. 2148 – 2152.

[3]. Gear, C.W. (1971). Numerical Initial Value Problems in Ordinary Differential Equations, Prentice Hall.

[4]. Ascher, U. M. and Petzold, L. R. (1998). Computer Methods for Ordinary Differential Equations and Differential-Algebraic Equations, SIAM Philadelphia.

[5]. Choi, C.H. (2001). A variable step-size method for solving stiff Lyapunov differential equations. Proceedings of the American Control Conference, pp. 4197 – 4199.

[6]. Choi, C.H. (2008). Comparing the Accuracy of Backward Differentiation Formulas for Solving Lyapunov Differential Equations. Proceedings of the 2008 IEEE International conference on Computer-Aided Control Systems Design, pp. 144 - 149. DOI : 10.1109/CACSD.2008.4627342.

[7]. Bartels, R.H. and Stewart, G.W. (1972). Solution of the equation AX+XB=C. Comm. of ACM, Vol. 15, pp.820- 826.

[8]. Choi, C.H. (2009). Computational Methods for Medium Scale Stiff Lyapunov Differential Equations. Proceedings of the 7th Asian Control Conference, pp. 1520-1525.

[9]. Deuflhard, P., and Bornemann, F. (2002). (translated by Rheinboldt, W.C.). Scientific Computing with Ordinary Differential Equations, New York: Springer-Verlag.

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Research Paper

Color Image Compression using Wavelet, Ridgelet and Curvelet Transform

M. Sreekanth Reddy* , T. Ramashri**

* M. Tech student, Department of Electronics and Communication Engineering, S.V. University College of Engineering, Tirupati, A.P. India.

** Associate Professor, Department of Electronics and Communication Engineering, S.V. University College of Engineering, Tirupati, A.P. India

M. Sreekantha Reddy and T. Ramashri (2012). Color Image Compression Using Wavelet, Ridgelet And Curvelet Transform. i-manager’s Journal on Electronics Engineering, 2(2), 11-16. https://doi.org/10.26634/jele.2.2.1622

Abstract

Image Compression is a widely addressed research area. Many compression standards have been in place. But still there is a scope for higher compression with quality reconstruction. The introduction of wavelets gave a different dimension to the compression. But there are some limitations of wavelets while handling the line and curve singularities in the image. There are transforms beyond wavelets namely-Curvelet and Ridgelet Transforms. This paper aims at the analysis of color image compression using Wavelet, Ridgelet and Curvelet Transform. The Curvelet Transform gives better performance in terms of PSNR. Wavelet performs the least and is also affected by the blocking artifacts. Ridgelet is designed to handle line and edge singularities, where as Curvelet is designed to handle singularities on curves. By selecting proper thresholding method, better results for PSNR have been obtained. Color images in the YCbCr color model are used.

References

[1].David Salomon. (2001). Data Compression, The Complete Reference, (2nd Edition, Reprint, Springer Verlag).

[2]. Singh, P.; Swamy, M.N.S.; Agarwal, R., (2006). Block Tree Partitioning for Wavelet Based Color Image Compression, Proceedings of IEEE International Conference on Acoustics,Speech and Signal. Processing, ICASSP 2006, Volume 2,14-19 May Page(s):II – II.

[3]. Al-Otum, H.A.M., (2003). Color image compression using combined VQ algorithms, Proceedings of the 2003 th 10 IEEE International Conference on Electronics, Circuits and Systems, ICECS 2003, Volume 1, 14-17 Dec. pp. 100 - 103 Vol.1

[4]. Chen-Kuei Yang; Ja-Chen Lin; Wen-Hsiang Tsai, (1997). Color image compression by moment-preserving and block truncation coding techniques, IEEE Transactions on Communications, Volume 45, Issue 12, Dec. pp.1513 - 1516.

[5]. Marino, F.; Acharya, T.; Karam, L.J., (1998). A DWTbased perceptually lossless color image compression architecture, Conference Record of the Thirty-Second Asilomar Conference on Signals, Systems & Computers, 1998, Volume1, 1-4 Nov. pp.149 - 153 Vol.1.

[6]. Fulvio Moschetti, Kazuo Sugimoto, Sadaatsu Kato and Matteo Burrini, (2004). “A hybrid wavelet and ridgelet approach for efficient edge representation in naturalimages” IEEE-ICASSP, pp. 677-680.

[7]. Lorenzo Granai, Fulvio Moschetti and Pierre Vandergheynst, (2003). “Ridgelet transform applied to motion compensated images”, IEEE Intenational Conference on Acoustics. Speech, & Signal Processing, April 6-10, Hong Kong.

[8]. E.J. Candes, Laurent Demanet, D.L. Donoho, Lexing Ying, (2005). “Fast Discrete Curvelet Transforms”, Stanford University Press Notes, July.

[9]. E. J. Cand`es and D. L. Donoho. (2000). Curvelets – a surprisingly effective nonadaptive representation for objects with edges. In C. Rabut A. Cohen and L. L. Schumaker, editors, Curves and Surfaces, pages 105–120, Vanderbilt University Press, Nashville, TN.

[10]. Awais Mansoor and AtifBin Mansoor, (2005). “On Image Compression Using Digital Curvelet Transform”, 9th International Multitopic Conference, IEEE INMIC 2005, Dec. pp.1 – 4.

[11]. M. Manikandan, A. Saravanan, and K. Bhoopathy Bagan, (2007). “Curvelet Transform Based Embedded Lossy Image Compression”, IEEE – ICSCN 2007, MIT Campus, Anna University, Chennai, India. Feb. 22-24, pp.274-276.

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Research Paper

Power MOSFET in Automobile Application

D. S. Dhote* **

- Professor, Department of Electronics, Brijlal Biyani Science College, Amravati, India.

Associate Professor, Department of Electronics, Garware College, Pune, India.

D.S. Dhote, R.S. Rajuskar and G.D. Agrahari (2012). Power MOSFET in Automobile Application. i-manager’s Journal on Electronics Engineering, 2(2), 17-22. https://doi.org/10.26634/jele.2.2.1623

Abstract

This paper focuses on the simulation Power mosfet inverter driving the electrical motors such as PMBLM used in automotive power electronic systems to ensure energy efficiency . Today Power mosfets are available with high voltage , high power , high frequency ,protection against avalanche and short circuit behavior. Control techniques such as Six- Step, SPWM, SVPWM are used for simulation and advantages of the drive are confirmed with the simulation results.

References

[1]. Ned Mohan, Undeland, Roobbins-John Wiley And Sons, (1995). Power Electronics.

[2]. Bimal K. Bose, (2003). Modern Power Electronics and AC Drives: Pearson Education.

[3]. Kazmierkowski, Krishnan, Bladbjerg, Academic Press, (2002). Control in Power Electronics.

[4]. R. Krishnan-Prentice Hall, (2001). Electric Motor Drives.

[5]. P. Pillay, and R. Krishnan, (1988). "Modeling of permanent magnet motor drives," IEEE Trans. Industrial Electronics, Vol. 35, No. 4, Nov.

[6]. P. Pillay, and R. Krishnan, (1991). "Application characteristics of permanent magnet syncronous and brushless motors for servo drives," IEEE Transtion on, Indusrty applications,, Vol. 27, No. 5, Sept.

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Research Paper

Modeling the Quality of Service Rerouting in Cognitive Network

Y. B. Gandole*

Department of Electronics, Adarsha Science J.B.Arts and Birla Commerce Mahavidyalaya, Dhamangaon, India.

Y.B. Gandole (2012). Modeling the Quality of Service Rerouting in Cognitive Network. i-manager’s Journal on Electronics Engineering, 2(2), 23-35. https://doi.org/10.26634/jele.2.2.1624

Abstract

The cognitive behavior based on the cognitive science model for the network nodes to benefit the Quality of Service rerouting is designed. A Quality of Service rerouting protocol oriented to cognitive network is proposed. Rerouting is a distributed protocol where the route search is in a hop by hop way. Inspired by the small-world phenomenon, the experiential route information is collected and stored at each node to benefit the future route selection. We implement and evaluate Quality of Service rerouting in NS2 platform. Its performance is compared with another two popular routing protocols. The results show that Cognitive Rerouting has achieved remarkable performance improvements over the protocols where no cognitive behaviours are exploited.

References

[1]. E. Gelenbe, R. Lent, Z. Xu. (2000). “Towards networks with cognitive packets,” Proc. IEEE MASCOTS Conference, ISBN 0-7695-0728-X, pp. 3-12, San Francisco, CA, Aug. 29- Sep. 1.

[2]. E. Gelenbe, R. Lent, Z. Xu. (2001). Measurement and performance of Cognitive Packet Networks, J. Comp. Networks, Vol. 37, 691– 701.

[3]. E. Gelenbe and R. Lent. (2002). “Mobile Ad-Hoc Cognitive Packet Networks”, Proc. IEEE ASWN, Paris, July 2- 4.

[4]. R.S. Sutton. (1988). “Learning to predict the methods of temporal difference”, Machine Learning, Vol. 3, pp. 9-44.

[5]. Haykin S. (2005). Cognitive radio: brain-empowered wireless communication. IEEE Journal on Selected Areas in Communication, 23(2): 201-220.

[6]. Clark D D, Partridge C, Ramming J C, et al. (2003). A knowledge plane for the Internet. Proc. ACM SIGCOMM, Karlsruhe, Germany, 3-10.

[7]. Thomas R, Friend D, DaSilva L, et al. (2006). Cognitive networks: adaptation and learning to achieve end-toend performance objectives. IEEE Communications Magazine, 44(12): 51-57.

[8]. Pragyansmita P, Raghavan S. (2002). Survey of Quality-of-Service routing. Proc. 15th International Conference on Computer Communication, Mumbai, India, 50-75.

[9]. Wang Y X, Wang Y. (2006). Cognitive informatics models of the brain. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, 36(2): 203-207.

[10]. Vint P. The network simulator (ns-2). Available on the WWW:http://nsnam.isi.edu/nsnam.

[11]. Shi Y, Hou Y, Zhou H, et al. (2010). Distributed crosslayer optimization for cognitive radio networks. IEEE Transactions on Vehicular Technology, 59(8): 4058-4069, Oct.

[12]. Paul S, Linda E, Doyle Keith E. (2006). A reconfigurable platform for cognitive networks. Proc.1st International Conference on Cognitive Radio Oriented Wireless Networks and Communications, Mykonos Island, Greece, 109-113.

[13]. Friend D, ElNainay M, Shi Y, et al. (2008). Architecture and performance of an island genetic algorithm-based cognitive network. Proc. 5th IEEE Consumer Communications & Networking Conference, Las Vegas, NV, United States, 993-997.

[14]. Adrian F, Gerald A, Bruce D, et al. (2008). Network quality of service: know it all. Burlington, MA: Elsevier Inc.

[15]. Lee M, Marconett D, Ye X, et al. (2007). Cognitive network management with reinforcement learning for wireless mesh networks. Proc. 7th IEEE International Workshop on IP Operations & Management, San Jose, CA, United States, 168-179.

[16]. Lee H, Choi G, Kim H, et al. (2008). A nature-inspired Quality-of-Service routing algorithm for next generation networks. Proc. 4th International Conference on Autonomic and Autonomous Systems, Gosier, Guadaloupe, 228-232.

[17]. McAuley A, Manousakis K, Kant L. (2008). Flexible Quality-of-Service route selection with diverse objectives and constraints. Proc.16th International Workshop on Quality of Service, Enschede, Netherlands, 279-288.

[18]. Balasubramaniam S, Botvich D, Jennings B, et al. (2009). Policy-constrained bio-inspired processes for autonomic route management. Computer Networks, 53(10): 1666-1682.

[19]. Jin S, Bestavros A. (2003). Small-World characteristics of the Internet and multicast scaling. Proc. 11th International Workshop on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, Orlando, FL, USA, 260-268.

[20]. Kleinberg J. (2000). The small-world phenomenon: an algorithm perspective. Annual ACM Symposium on Theory of Computing, Portland, OR, USA, 163-170.

[21]. Blake S, Black D, Carlson M, et al. (1998). An architecture for differentiated services. IETF draft, draftietf- diffserv-arch-01.txt, Aug.

[22]. ITU-T G.1010, End-user multimedia Quality-of-Service categories.

[23]. Cormen T, Leiserson C, Rivest R, et al. (2001). Introduction to Algorithm. 2nd Edition, MIT Press.

[24]. Waxman B. (1998). Routing of multipoint connection. IEEE Journal on Selected Areas in Communications, 6(9): 1617-1622.

[25]. Khadivi P, Samavi S, Todd T. (2008). Multi-constraint Quality-of-Service routing using a new single mixed metrics. Journal of Network and Computer Applications, 31(4): 656-676.

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Research Paper

Implementation Of Maximum Boost Control Switching Strategy For Impedance Source Inverter

R. Uthirasamy* **

* Assistant Professor, Department of Electrical & Electronics Engineering, Jansons Institute of Technology, Coimbatore.

** PG Scholar, Department of Electrical & Electronics Engineering, Sasuri Engineering College, Vijayamangalam.

R. Uthirasamy and C. Suganya (2012). Implementation of Maximum Boost Control Switching Strategy for Impedance Source Inverter. i-manager’s Journal on Electronics Engineering, 2(2), 36-42. https://doi.org/10.26634/jele.2.2.1625

Abstract

This paper presents a new topology of uninterruptible power supply (UPS) by using an extended boost Z-source inverter.In this project a new topology of uninterruptible power supply (UPS) implemented using extended boost source inverter. The Z-source concept can be applied to all dc-to-ac, ac-to-dc, ac-to-ac, and dc-to-dc power conversion. The extended boost Z-source inverter overcomes the conceptual and theoretical barriers and limitations of the traditional voltage source; current source and normal Z-source inverter. With this new topology, the proposed UPS can maintain the desired ac output voltage with reduced voltage drop and minimized voltage stress. The overall cost of the system has been reduced by reducing the battery utility. So, this system is more economical for UPS application. The proposed system is simulated using MATLAB / SIMULINK with the simple boost control scheme and various factors such as output voltage, boost factor and THD are analyzed.

References

[1]. Chandana Jayampathi Gajanayake, Fang Lin LuoHoay Beng Gooi, Ping LamSo, and Lip Kian Siow. (2010). “Extended-Boost Z-Source Inverters” IEEE Trans. Power Electron. Vol. 25, No. 10, October.

[2]. Gajanayake. C. J, D.M. Vilathgamuwa, and P.C. Loh. (2007). “Development of a comprehensive model and a multiloop controller for Z-source inverter DG systems,” IEEE Trans. Ind. Electron., Vol. 54, No. 4, pp. 2352–2359, August.

[3]. Loh. P.G, F. Gao, and F. Blaabjerg, (2008). “Topological and modulation design of three-level Z-source inverters,” IEEE Trans. Power Electron., Vol. 23, No. 5, pp. 2268–2277, September.

[4]. Miaosen. S, W. Jin, A. Joseph, P. Fang Zheng, L. M. Tolbert, and D. J. Adams, (2006). “Constant boost control of the Z-source inverter to minimize current ripple and voltage stress,” IEEE Trans. Ind. Appl., Vol. 42, No. 3, pp. 770–778, May / June.

[5]. Peng. F.Z, (2003). “Z-source inverter,” IEEE Trans. Ind. Appl., Vol. 39, No. 2, pp. 504–510, March / April.

[6]. Peng. F.Z, M. Shen, and Z. Qian, (2005). “Maximum boost control of the Z source inverter,” IEEE Trans. Power Electron., Vol. 20, No. 4, pp. 833–838, July / August.

[7]. Poh Chiang Loh, Member, Feng Gao, Student Member, Pee-Chin Tan, Blaabjerg, Fellow, (2009). “Three- Level AC–DC–AC Z-Source Converter Using Reduced Passive Component Count,” IEEE Trans. Power Electron., Vol. 24, No. 7, July.

[8]. Zhi Jian Zhou, Xing Zhang, Po Xu, and Weixiang X. Shen, (2008). “Single-Phase Uninterruptible Power Supply Based on Z-Source Inverter,” IEEE Trans.Ind.electron., Vol. 55, No. 8, August.

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Research Paper

Step Discontinuity Analysis in an Asymmetric Single Mode Thin Planar Slab Taper Optical Waveguide

S. K. Raghuwanshi* , Santosh Kumar**

*-** Department of Electronics Engineering, Indian School of Mines, Dhanbad, India.

Sanjeev Kumar Raghuwanshi and Santosh Kumar (2012). Step Discontinuity Analysis In An Asymmetric Single Mode Thin Planar Slab Taper Optical Waveguide. i-manager’s Journal on Electronics Engineering, 2(2), 43-48. https://doi.org/10.26634/jele.2.2.1626

Abstract

We study the thin taper optical waveguide structure by using the step discontinuity model. The technique presented is unique and not being discussed elsewhere. We also study the power loss due to step discontinuity effect for the case of an asymmetric single mode planar slab taper waveguide structure. The only assumption, we consider is that there are no reflection of fields at the step discontinuity point. In this paper we also assume that there are no mode conversions due to discontinuity effect and the structure maintain the single mode operation even at the step discontinuity point. We deliberately considered the thin taper structure to be valid on single mode operation. The technique presented can be easily extended to more complicated waveguide structure like ridge waveguide structure.

References

[1]. S. K. Raghuwanshi. (2010). “Comparative study of asymmetric versus symmetric planar slab dielectric optical waveguides” Indian J of Phys. Vol. 84, 7, 831-846.

[2]. D. Marcuse, (1991). Theory of dielectric waveguides, 2nd ed., Academic Press, San Diego.

[3]. E. A. Marcatili, (1969). “Bends in optical dielectric guides”, Bell System Technical Journal, pp. 2103-2132.

[4]. Asok De and G. V. Attimarad. (2004). “Numerical analysis of two dimensional tapered dielectric waveguide”, Progress in Electromagnetic Research (PIER), 44, pp. 131-142.

[5]. M. Belanger and G. L. Yip. (1984). “Mode conversion analysis in a single mode planar taper optical waveguide”, Applied Scientific Research, 41, 305-314.

[6]. William K. Burns and A. Fenner Milton, (1975). “Mode conversion in planar-dielectric separating waveguides” IEEE J. of Quantum Electronics, QE-11(1), 32-39 Jan.

[7]. T. E. Rozzi, (1978). “Rigorous analysis of the step discontinuity in a planar dielectric waveguide”, IEEE Transactions on Microwave Theory and Techniques”, MTT- 26(10), 738-746 Oct.

[8]. B. Sepulveda and Laura M. Lechuga, (2007). “Matrix analysis of discontinuities in nonreciprocal waveguides: Analytical description for magneto optical slab waveguides”, IEEE Journal of Lightwave Technology, Vol. 22, 7, 1772-1781 July.

[9]. S. Dwari, A. Chakraborty and S. Sanyal, (2006). “Analysis of linear tapered waveguide by two approaches”, Progress in Electromagnetic Research (PIER), 64, 219-238.

[10]. Y. Cai, T. Mizumoto and Y. Naito, (1990). “Analysis of the coupling characteristics of a tapered coupled waveguide system”, IEEE Journal of Lightwave Technology, 8(1), 90-98 Jan.

[11]. K. Hirama and M. Koshiba, (1992). “A new low loss structure of abrupt bends in dielectric waveguides”, IEEE Journal of Lightwave Technology, 10(5), 563-569 May.

[12]. A. Weisshaar and Vijai K. Tripathi, (1992). “Modal analysis of step discontinuities in graded index dielectric slab waveguides”, IEEE Journal of Lightwave Technology, 10(5), 593-602 May.

[13]. R. Pregla, (1996). “The method of lines for the analysis of dielectric waveguide bends”, IEEE Journal of Lightwave Technology, 14(4), 634-639 April.

[14]. T. E. Rozzi and G. H. Intveld. (1979). “Field and network analysis of interacting step discontinuities in planar dielectric waveguides”, IEEE Transactions on Microwave Theory and Techniques”, MTT-27(4), 303-309 April.

[15]. A. Chakraborty and G. S. Sanyal, (1980). “Transmission matrix of a linear double taper in rectangular waveguides”, IEEE Transactions on Microwave Theory and Techniques”, MTT-28(6), 577-579 Jun.

[16]. X. Qian and A.C. Boucouvalas, (2007). “Synthesis of symmetric and asymmetric planar optical waveguides”, IET Optoelectron. 1(4), 185-190.

[17]. A. Melloni, F. Carniel, R. Costa and M. Martinelli, (2001). “Determination of bend mode characteristics in dielectric waveguides”, IEEE Journal of Lightwave Technology, 19(4), 571-577.

[18]. P. Bienstman, E. Six, M. Roelens, M. Vanwolleghem and R. Baets, (2002). “Calculation of bending loss in dielectric waveguides using eigenmode expansion and perfectly matched layers”, IEEE Photonics Tech. Lett., 14(2), 164-166.

[19]. D. Marcuse, (1971). “Bending losses of the asymmetric slab waveguide” Bell System Technical Journal, pp. 2551-2563.

[20]. A. Melloni, F. Carniel, R. Costa and M. Martinelli. (2001). “Determination of bend mode characteristics in dielectric waveguides”, IEEE Journal of Lightwave Technology, 19(4), 571-577.

[21]. W. Berglund and A. Gopinath. (2000). “WKB analysis of bend losses in optical waveguides”, IEEE Journal of Lightwave Technology, 18 (8), 1161-1166.

[22]. R. Pregla. (1996). “The method of lines for the analysis of dielectric bends”, IEEE Journal of Lightwave Technology, 14(4), 634-639.

[23]. P. Jain, S. K. Raghuwanshi and S. Talabattula. (2005). “A novel approach to analyze Z-varying integrated optical waveguides", Proceedings of International conference on Optics & Optoelectronics, 12-15 Dec. IRDE, Dehradun, India (PP-FIO-22).

[24]. S, K. Raghuwanshi, D. Chack and V. Kumar. (2011). “Analysis of step discontinuity in a single mode planar slab taper optical waveguide”, IEEE International Conference on Computational Intelligence and Communication Networks (CICN-2011) Gwalior, India.

i-manager's Journal on Electronics Engineering (JELE)

Current Issue Vol. 15 Issue 1

Most Read

Most Cited

Volume 2 Issue 2 December - February 2012

Contributions to Computational Algorithms for Stiff Lyapunov Differential Equations

Chiu Choi*

Professor, Department of Electrical Engineering, University of North Florida, Jacksonville, FL, USA.

Chiu H. Choi (2012). Contributions to Computational Algorithms for Stiff Lyapunov Differential Equations. i-manager’s Journal on Electronics Engineering, 2(2), 1-10. https://doi.org/10.26634/jele.2.2.1621

Abstract

References

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Color Image Compression using Wavelet, Ridgelet and Curvelet Transform

M. Sreekanth Reddy* , T. Ramashri**

* M. Tech student, Department of Electronics and Communication Engineering, S.V. University College of Engineering, Tirupati, A.P. India. ** Associate Professor, Department of Electronics and Communication Engineering, S.V. University College of Engineering, Tirupati, A.P. India

M. Sreekantha Reddy and T. Ramashri (2012). Color Image Compression Using Wavelet, Ridgelet And Curvelet Transform. i-manager’s Journal on Electronics Engineering, 2(2), 11-16. https://doi.org/10.26634/jele.2.2.1622

Abstract

References

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Pdf

Power MOSFET in Automobile Application

D. S. Dhote* **

*-*** Professor, Department of Electronics, Brijlal Biyani Science College, Amravati, India. ** Associate Professor, Department of Electronics, Garware College, Pune, India.

D.S. Dhote, R.S. Rajuskar and G.D. Agrahari (2012). Power MOSFET in Automobile Application. i-manager’s Journal on Electronics Engineering, 2(2), 17-22. https://doi.org/10.26634/jele.2.2.1623

Abstract

References

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Modeling the Quality of Service Rerouting in Cognitive Network

Y. B. Gandole*

Department of Electronics, Adarsha Science J.B.Arts and Birla Commerce Mahavidyalaya, Dhamangaon, India.

Y.B. Gandole (2012). Modeling the Quality of Service Rerouting in Cognitive Network. i-manager’s Journal on Electronics Engineering, 2(2), 23-35. https://doi.org/10.26634/jele.2.2.1624

Abstract

References

Full Article (HTML)

Pdf

Implementation Of Maximum Boost Control Switching Strategy For Impedance Source Inverter

R. Uthirasamy* **

* Assistant Professor, Department of Electrical & Electronics Engineering, Jansons Institute of Technology, Coimbatore. ** PG Scholar, Department of Electrical & Electronics Engineering, Sasuri Engineering College, Vijayamangalam.

R. Uthirasamy and C. Suganya (2012). Implementation of Maximum Boost Control Switching Strategy for Impedance Source Inverter. i-manager’s Journal on Electronics Engineering, 2(2), 36-42. https://doi.org/10.26634/jele.2.2.1625

Abstract

References

Full Article (HTML)

Pdf

Step Discontinuity Analysis in an Asymmetric Single Mode Thin Planar Slab Taper Optical Waveguide

S. K. Raghuwanshi* , Santosh Kumar**

*-** Department of Electronics Engineering, Indian School of Mines, Dhanbad, India.

Sanjeev Kumar Raghuwanshi and Santosh Kumar (2012). Step Discontinuity Analysis In An Asymmetric Single Mode Thin Planar Slab Taper Optical Waveguide. i-manager’s Journal on Electronics Engineering, 2(2), 43-48. https://doi.org/10.26634/jele.2.2.1626

Abstract

References

Full Article (HTML)

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* M. Tech student, Department of Electronics and Communication Engineering, S.V. University College of Engineering, Tirupati, A.P. India.

** Associate Professor, Department of Electronics and Communication Engineering, S.V. University College of Engineering, Tirupati, A.P. India

- Professor, Department of Electronics, Brijlal Biyani Science College, Amravati, India.

Associate Professor, Department of Electronics, Garware College, Pune, India.

* Assistant Professor, Department of Electrical & Electronics Engineering, Jansons Institute of Technology, Coimbatore.

** PG Scholar, Department of Electrical & Electronics Engineering, Sasuri Engineering College, Vijayamangalam.