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Signal Processing - Investigators from Harbin Engineering University Zero in on Signal Processing

  2013 MAY 28 (VerticalNews) -- By a News Reporter-Staff News Editor at Journal of Mathematics -- Researchers detail new data in Signal Processing. According to news reporting originating in Harbin, People's Republic of China, by VerticalNews journalists, research stated, "A new signal processing method using a single vector hydrophone is proposed for solving the problem of azimuth angle estimation for multiple targets based on a small aperture underwater platform. The method extends the aperture from a single vector hydrophone into a half wavelength distance uniform linear array by decomposing the time-domain sample data from different channels of the hydrophone. ...read more


Signal Processing - Studies from Dalian University of Technology in the Area of Signal Processing Described

  2013 MAY 21 (VerticalNews) -- By a News Reporter-Staff News Editor at Journal of Mathematics -- New research on Signal Processing is the subject of a report. According to news reporting originating in Dalian, People's Republic of China, by VerticalNews journalists, research stated, "This paper presents a novel incremental orthogonal projective non-negative matrix factorization (IOPNMF) algorithm, which is aimed to learn a parts-based subspace that reveals dynamic data streams. By assuming that the newly added samples only affect basis vectors but do not affect the coefficients of old samples, we propose an objective function for on-line learning and then present a multiplicative update rule to solve it. ...read more


Signal Processing - New Signal Processing Study Findings Recently Were Reported by Researchers at University of Munster

  2013 MAY 21 (VerticalNews) -- By a News Reporter-Staff News Editor at Journal of Mathematics -- Investigators discuss new findings in Signal Processing. According to news reporting out of Munster, Germany, by VerticalNews editors, research stated, "This paper employs the methods from the design of experiments for supervised parameter learning in image segmentation. We propose to use orthogonal arrays in order to keep the number of experiments small and several algorithms are formulated. ...read more


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