Series-1 (Nov. - Dec. 2019)Nov. - Dec. 2019 Issue Statistics
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ABSTRACT: This paper suggests a low power fixed-width multiplier using a reduced precision redundancy unit (RPR) for VLSI signal processing applications. RPR consists of a reduced precision module and a full precision module. The result of the reduced precision is considered as the correct output when the source output computes falsely. The proposed RPR fixed-width multiplier can satisfy the demand for accuracy, area efficiency, processing speed, and low power consumption. The precision of the proposed multiplier will be enhanced by the RPR logic. The compensation bias consists of probability and statistics. To avoid the truncation error many types of rounding methods are employed. The proposed RPR fixed-width multiplier is installed in the FIR filter design for various signal processing applications. The detailed analysis of the suggested multiplier gives 30% power reduction and 46.54% area reduction as compared with the different techniques.
Keywords- Fixed-width Multiplier; Reduced Precision Replica; Probability statistics; Error approximation; FIR filter
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[5]. Jency R and Sathish K. A survey paper on modern technologies in fixed-width multiplier. In: 4th international conference on signal processing, communications and networking (ICSCN-2017), Chennai, India, 16–18 March 2017.DOI: 10.1109/ICSCN.2017.8085648
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Paper Type | : | Research Paper |
Title | : | Subpixel Target Detection in Hyperspectral Imagery Using Simplex Projections |
Country | : | USA |
Authors | : | Peter Bajorski |
: | 10.9790/4200-0906010914 |
ABSTRACT: In this paper, we define a family of simplex projection methods (SPM) for endmember selection. We give numerical results for two known endmember-selection procedures—the pixel purity index (PPI) and the
maximum distance (MaxD) methods. Then we compare these results to those for two examples of SPMs—the
Farthest Pixel Selection (FPS) method and the Stepwise Simplex Projection (SSP) method. The numerical
examples using AVIRIS image data show that this new class of techniques gives better descriptions of the target
and background regions than do current methods. This leads to more precise detection (with lower false alarm
rates) of low-visibility small (subpixel) targets.
[1]. P. Bajorski, J. Schott, and E. Ientilucci. ―Comparison of Basis-Vector Selection Methods for Target and Background Subspaces as Applied to Subpixel Target Detection‖ Proc. SPIE, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery X, Orlando, FL, April 2004, pp. 97-108.
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[3]. J. R. Schott, K. Lee, R. Raqueno, G. Hoffmann, and G. Healey. ―A subpixel target detection technique based on the invariance approach.‖ To be published, 2004.
[4]. J. W. Boardman, F. A. Kruse, and R. O. Green. Mapping target signatures via partial unmixing of AVIRIS data. In Fifth JPL Airborne Earth Science Workshop, volume 1 of JPL Publication 95-1, pp. 23-26, 1995.
[5]. D. C. Heinz and C-I Chang, ―Fully Constrained Least Squares Linear Spectral Mixture Analysis Method for Material Quantification in Hyperspectral Imagery,‖ IEEE Transactions on Geoscience and Remote Sensing, Vol. 39, No. 3, pp. 529-545, March 2001
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Paper Type | : | Research Paper |
Title | : | FPGA Implementation of Modified Diffie-Hellman Key Exchange Algorithm Using Zero Knowledge Proof |
Country | : | India |
Authors | : | D.Surendra Rao |
: | 10.9790/4200-0906011524 |
ABSTRACT: There are networks and entity groupings that require authentications while preserving the privacy of the entity being authenticated. Zero – Knowledge Proof (ZKP) plays a vital role in authentications without revealing secret information. Our proposed work carries criticism of ZKP, and Diffie–Hellman Key Exchange Algorithm (DHKEA). A new ZKP has been proposed based on modifications of the DHKEA. As per the modifications, two versions of the proposed protocols are developed. Verilog HDL is effectively utilized to complete the design of proposed protocols. Results will be verified through simulations and FPGA target board.
Key words: Authentication, Networks, Entity groupings Zero-Knowledge Proof, Verilog HDL, Simulations, FPGAs
[1]. Ibrahem, M.K. (2012), "Modification of Diffie Hellman Key Exchange Algorithm" Future Communication Networks (ICFCN), 2012 International Conference on 2-5 April 2012, p.p. 147 -152.
[2]. Emmanuel Bresson, Olivier Chevassut, David Pointcheval, Jean-Jacques Quisquater "Provably Authenticated Group Diffie-Hellman Key Exchange" Computer and Communication Security, Proc. of ACM CCS'01, p.p. 255-264.
[3]. Back, Amanda, (2009), "The Diffe-Hellman Key Exchange", December 2, 2009,
http://129.81.170.14/~erowland/courses/2009-2/projects/Back.pdf.
[4]. Clausen, Andrew, (2007), "Logical Composition of Zero-Knowledge Proofs", October, 2007, http://www.econ.upenn.edu/_clausen.
[5]. Endre Bangerter, etal, (2009), "On the Design and Implementation of Efficient Zero-Knowledge Proofs of Knowledge", Proceedings of the 2nd ECRYPT Conference on Software Performance Enhancement for Encryption and Decryption and Cryptographic Compilers (SPEED-CC'09), Berlin, Germany, October 2009.