On signal reconstruction without phase

被引：399

作者：

Balan, Radu

Casazza, Pete ^{[1
]}

Edidin, Dan

机构：

[1] Univ Missouri, Dept Math, Columbia, MO 65211 USA

[2] Siemens Corp Res, Princeton, NJ 08540 USA

来源：

APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS | 2006年 / 20卷 / 03期

关键词：

frame; signal reconstruction; phase; speech recognition;

D O I：

10.1016/j.acha.2005.07.001

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

We will construct new classes of Parseval frames for a Hilbert space which allow signal reconstruction from the absolute value of the frame coefficients. As a consequence, signal reconstruction can be done without using phase or its estimation. This verifies a longstanding conjecture of the speech processing community. (C) 2005 Elsevier Inc. All rights reserved.

引用

页码：345 / 356

页数：12

共 19 条

[1]

Anderson B., 1979, OPTIMAL FILTERING

[2] Equivalence relations and distances between Hilbert frames [J].