Error control schemes for networks: an overview
Mobile Networks and Applications
Error Correction Coding: Mathematical Methods and Algorithms
Error Correction Coding: Mathematical Methods and Algorithms
Speech Watermarking Based on Wavelet Transform and BCH Coding
SUTC '08 Proceedings of the 2008 IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (sutc 2008)
Analyze of the MPEG-4 compressed streams
WSEAS TRANSACTIONS on COMMUNICATIONS
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Image communication over telephone wireline and wireless networks is becoming a standard way of communication due to very efficient compression algorithms for reducing the required channel capacity. However, all standard compression techniques are strongly sensitive to channel noise. For noisy channels it is necessary to investigate in order to select the appropriate channel coding method as a tradeoff between the image quality and the ability to control errors caused by noise. BCH (Bose, Chaudhuri, Hocquenghem) codes are becoming more frequently used due to the availability of VLSI components. BCH codes have a powerful random and burst correcting ability. BCH codes also leave the data in its original form which allows image and video decoders to be specified with "optional" error correction. In order to overcome the outlined drawbacks of fixed channel protection, Adaptive Protection is needed. AP adds redundancy as a function of the current channel characteristics. The BCH code can be adapted towards the burst error correcting capabilities and this will be shown in the contribution. This paper investigates the effects of noise-induced transmission errors on the performance of BCH coding methods for different errors correction capability. First, the relations among the bit error rate, signal-to-noise ratio (SNR), and code lengths are analyzed. Further, the transmission performance of BCH codes association with different modem schemes are analyzed. QCIF image transmission quality over BCH codes for different errors capability are simulated, discussed and compared. The results listed in this article denote the effects of the using BCH codes in a selected method. Based on this analysis an adaptive BCH scheme is proposed to pick the correcting capabilities that offers the best reconstructed image quality for each average SNR.