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首页> 外文期刊>IEEE Transactions on Signal Processing >Weighted least-squares implementation of Cohen-Posch time-frequency distributions with specified conditional and joint moment constraints
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Weighted least-squares implementation of Cohen-Posch time-frequency distributions with specified conditional and joint moment constraints

机译:具有指定条件和联合力矩约束的Cohen-Posch时间-频率分布的加权最小二乘实现

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摘要

A positivity constrained iterative weighted least-squares (WLS) method for constructing non-negative joint time-frequency distributions (i.e., Cohen-Posch (1985) TFDs) satisfying marginal, joint moment, conditional moment, and generalized marginal constraints, is developed. The new algorithm solves the "leakage" problem of the least-squares approach and is computationally faster. It is also more computationally efficient than the MCE implementation of these constraints developed by Loughlin, Pitton, and Atlas (1994).
机译:开发了一种构造约束,边界矩,条件矩和广义边界约束的非负联合时频分布(即Cohen-Posch(1985)TFD)的正约束迭代最小二乘方法(WLS)。新算法解决了最小二乘方法的“泄漏”问题,并且计算速度更快。与Loughlin,Pitton和Atlas(1994)开发的这些约束的MCE实现相比,它的计算效率也更高。

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