机译:基于学习的随机测量矩阵的设计,用于使用Copula功能与列间相关性的压缩感测
Amirkabir Univ Technol Dept Elect Engn 424 Hafez Ave Tehran Iran;
Amirkabir Univ Technol Dept Elect Engn 424 Hafez Ave Tehran Iran;
Concordia Univ Dept Elect & Comp Engn 1455 De Maisonneuve Blvd W Montreal PQ Canada;
matrix algebra; learning (artificial intelligence); compressed sensing; vectors; training sparse signal vectors; corresponding measurement vectors; copula function; measurement vector ensembles; ICC; measurement matrix columns; proper random Gaussian vector generator; random measurement matrix; inter-column correlation; novel learning-based approach; compressed sensing measurement matrix;
机译:基于正弦传感矩阵的正弦函数的压缩测量矩阵构建(SSM)
机译:无线传感器网络中基于SVD稀疏随机测量矩阵的压缩感知新方法
机译:基于安全LFSR的压缩感测随机矩阵
机译:基于学习的测量矩阵设计与压缩感应柱间相关的测量矩阵
机译:认知无线电应用中的压缩感知矩阵设计与评估
机译:通过Takeaka-Malmquist函数用构造字典压缩传感系统的测量矩阵优化
机译:基于学习的随机测量矩阵的设计,用于使用Copula功能与列间相关性的压缩感测