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Complex gradient methods have been widely used in learning theory, and typically aim to optimize real-valued functions of complex variables. The stepsize of complex gradient learning methods (CGLMs) is a positive number, and little is known about how a complex stepsize would affect the learning process. To this end, we undertake a comprehensive analysis of CGLMs with a complex stepsize, including...
Fundus image mosaic can expand the visual field of view and provide auxiliary diagnosis for fundus diseases. Due to the low contrast and uneven grayscale of fundus images, traditional methods based on gray characteristic are no longer applicable. We propose a fundus image mosaic algorithm based on Scale-invariant feature transform (SIFT), along with a quantitative evaluation criterion. We detect feature...
In this paper, a simplified partially parallel decoder architectural based on field programmable gate array (FPGA) devices for Digital Video Broadcasting-Satellite 2 low-density parity-check(DVB-S2-LDPC) codes has been presented. We introduce the current research status about decoder design for LDPC code and described the motivation of this paper in the first part. Then, we present the simulating...
The Turbo-decoding Message-passing (TDMP) algorithm of Low-Density Parity-Check (LDPC) codes has a faster convergence speed, lower hardware implementation complexity, and less storage units than the Belief-Passing (BP) algorithms. However, because of the integer quantization operations for initial information, restriction of storage units will cause the problem of decoding information overflowing...
An algorithm for attribute value reduction is proposed based on discernibility matrix by using set operations instead of Boolean operations. Time complexity analysis of the algorithm is carried out and an example of application is provided to show the efficiency of the algorithm.
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