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Yamuna, J.
- The Performance of Turbo Codes on a Rayleigh Fading Channel for Wireless Communication Systems
Authors
1 Electronics and Communication Engineering, SSK College of Engineering & Technology, Coimbatore, IN
2 SSK College of Engineering & Technology, Coimbatore, IN
Source
Networking and Communication Engineering, Vol 4, No 3 (2012), Pagination: 172-177Abstract
To counteract the unavoidable noisy channel problem, error control coding is necessary which presently giving way to turbo codes. Due to high complexity and bandwidth requirement of the traditional approach, turbo codes are evolved. Turbo codes offer great reliability of communications over Rayleigh fading channels where AWGN is problematic. This paper provides a description of Softinput soft-output (SISO) turbo decoder based on soft-output Viterbi algorithm (SOVA). The performance and design of turbo codes using Non coherent DPSK signaling on the Rayleigh fading channel is considered. The bit error rate (BER) performances of AWGN and Rayleigh fading Channels are compared. Simulation results ar provided for bit error rate performance using constraint lengths of K=3, over Rayleigh fading channel, show improvements of 0.4 dB for SOVA at BER 10-4.
Keywords
Turbo Codes, Rayleigh Fading Channel, BER, SOVA.- An Improvement of Iris Pattern Identification Using Radon Transform
Authors
1 SSK College of Engineering & Technology, Coimbatore, IN
2 SSK College of Engineering & Technology, IN
3 Electronics and Communication Engineering Department, SSK College of Engineering & Technology, Coimbatore, IN
Source
Biometrics and Bioinformatics, Vol 4, No 4 (2012), Pagination: 186-189Abstract
This research proposes an improvement of iris personal identification system using Radon transform which is used to extract feature stored as templates in a database. In Personal identification using iris images, the computational complexity in the feature extraction from the normalized iris images is still of key concern and further efforts are required to develop efficient feature extraction approaches. In this paper, we investigate a new approach for the efficient and effective extraction of iris features using Radon transforms. In our research, Euclidean distance is used for distance measurement.