Low power architecture of the soft-output Viterbi algorithm
ISLPED '98 Proceedings of the 1998 international symposium on Low power electronics and design
Sequential Decoding of Convolutional Codes for Rayleigh Fading Channels
Wireless Personal Communications: An International Journal
Iterative Decoding of Product Codes Composed of Extended Hamming Codes
ISCC '00 Proceedings of the Fifth IEEE Symposium on Computers and Communications (ISCC 2000)
Performance of JPEG image transmission using proposed asymmetric turbo code
EURASIP Journal on Applied Signal Processing
Design of two step deterministic interleaver for turbo codes
Computers and Electrical Engineering
Interleaver optimization of convolutional turbo code for 802.16 systems
IEEE Communications Letters
The augmented state diagram and its application to convolutional and turbo codes
IEEE Transactions on Communications
Bit error rate estimation for turbo decoding
IEEE Transactions on Communications
Serially concatenated turbo codes
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Interblock memory for turbo coding
IEEE Transactions on Communications
Exploiting UEP in QAM-based BICM: interleaver and code design
IEEE Transactions on Communications
An efficient iteration decoding stopping criterion for turbo codes
ICCSA'07 Proceedings of the 2007 international conference on Computational science and Its applications - Volume Part II
APCC'09 Proceedings of the 15th Asia-Pacific conference on Communications
AWGN and Rayleigh channels response for turbo codes and iterative decoding
Proceedings of the 7th International Conference on Frontiers of Information Technology
Journal of Electrical and Computer Engineering - Special issue on iterative signal processing in communications
Distance spectrum analysis of third generation turbo codes
ELECTROSCIENCE'05 Proceedings of the 5th WSEAS international conference on Applied electromagnetics, wireless and optical communications
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The performance of turbo codes is addressed by examining the code's distance spectrum. The “error floor” that occurs at moderate signal-to-noise ratios is shown to be a consequence of the relatively low free distance of the code. It is also shown that the “error floor” can be lowered by increasing the size of the interleaver without changing the free distance of the code. Alternatively, the free distance of the code may be increased by using primitive feedback polynomials. The excellent performance of turbo codes at low signal-to-noise ratios is explained in terms of the distance spectrum. The interleaver in the turbo encoder is shown to reduce the number of low-weight codewords through a process called “spectral thinning.” This thinned distance spectrum results in the free distance asymptote being the dominant performance parameter for low and moderate signal-to-noise ratios