A. Amiri

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This paper describes a new method for language modelling and reports its application to handwritten OCR. Images of characters are rst chain-coded to convert them to strings. A novel language modelling method is then applied to build a statistical model for strings of each class. The language modelling method is based on a probabilistic version of an n-tuple(More)
— Several modified LMS algorithms are studied in order to improve the rate of convergence, increase the tracking performance and reduce the computational cost of the regular LMS algorithm. These methods can be divided in two categories: Clipped data algorithms and variable step size algorithms. In this paper a new quantized input variable step size LMS(More)
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