专利名称：EFFICIENT CONVOLUTIONAL SPARSE
CODING
发明人：Brendt Wohlberg
申请号：US14668900
申请日：20150325
公开号：US20160335224A1
公开日：
家用屏风
20161117
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专利附图：
摘要：Computationally efficient algorithms may be applied for fast dictionary learning solving the convolutional spar coding problem in the Fourier domain. More specifically,efficient convolutional spar coding may be derived within an alternating direction熬肉皮冻的做法
method of multipliers (ADMM) framework that utilizes fast Fourier transforms (FFT) to solve the main linear system in the frequency domain. Such algorithms may enable a significant reduction in computational cost over conventional approaches by implementing a linear solver for the most critical and computationally expensive component of the conventional iterative algorithm. The theoretical computational cost of the algorithm may be reduced from O(MN) to O(MN log N), where N is the dimensionality of the data and M is the number of elements in the dictionary. This significant improvement in efficiency may greatly increa the range of problems that can practically be addresd via convolutional spar reprentations.
申请人：Los Alamos National Security, LLC
spend
地址：Los Alamos CA US
国籍：US
滁州醉翁亭
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