论文标题
Bregman Diverences的阶段检索：在音频信号恢复中的应用
Phase retrieval with Bregman divergences: Application to audio signal recovery
论文作者
论文摘要
相位检索旨在从大小或功率光谱测量值中恢复信号。通常通过考虑涉及二次成本功能的最小化问题来解决。我们提出了基于布雷格曼差异的不同公式，该公式包括适合音频信号处理应用程序的差异。我们得出快速梯度算法来解决此问题。
Phase retrieval aims to recover a signal from magnitude or power spectra measurements. It is often addressed by considering a minimization problem involving a quadratic cost function. We propose a different formulation based on Bregman divergences, which encompass divergences that are appropriate for audio signal processing applications. We derive a fast gradient algorithm to solve this problem.
