计算机科学
算法
协方差矩阵
宽带
子空间拓扑
噪音(视频)
采样(信号处理)
到达方向
信号(编程语言)
信号子空间
基质(化学分析)
图像(数学)
语音识别
电子工程
电信
计算机视觉
人工智能
工程类
探测器
复合材料
材料科学
程序设计语言
天线(收音机)
作者
Hanjie Pan,Robin Scheibler,Eric Bezzam,Ivan Dokmanić,Martin Vetterli
标识
DOI:10.1109/icassp.2017.7952744
摘要
In this paper we present FRIDAâan algorithm for estimating directions of arrival of multiple wideband sound sources. FRIDA combines multi-band information coherently and achieves state- of-the-art resolution at extremely low signal-to-noise ratios. It works for arbitrary array layouts, but unlike the various steered response power and subspace methods, it does not require a grid search. FRIDA leverages recent advances in sampling signals with a finite rate of innovation. It is based on the insight that for any array layout, the entries of the spatial covariance matrix can be linearly transformed into a uniformly sampled sum of sinusoids.
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