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.
翻译:阶段检索旨在从量度或功率光谱测量中恢复信号,通常通过考虑涉及二次成本功能的最小化问题加以解决。我们根据布雷格曼的差异提出了不同的公式,其中包括适合音频信号处理应用程序的差分。我们得出了一个快速梯度算法来解决这个问题。