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We present a new class of iteratively decodable turbo-like codes, called braided convolutional codes. Constructions and encoding procedures for tightly and sparsely braided convolutional codes are introduced. Sparsely braided codes exhibit good convergence behavior with iterative decoding, and a statistical analysis using Markov permutors shows that the free distance of these codes grows linearly...
Conditional Random Fields (CRFs) are widely used in machine learning and natural language processing fields. A number of methods have been developed for CRF training. However, even with state-of-the-art algorithms, the training of CRF is still very time and space consuming. This make it infeasible to use CRFs in large-scale data analysis tasks. This paper proposes an efficient algorithm, HOCT, for...
The goal of this paper is to carry out a study in a new algorithm of digital watermark, which makes a information hiding calculation in spatial domain. This method can achieve a higher robustness to prevent many attacks from channel noise, JPEG, etc; and as while it can achieve a higher imperceptible than simple LSB method. The ownership insert the watermark into the host signal after analyzing the...
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