학술논문

A Complete Framework for Linear Filtering of Bivariate Signals
Document Type
Periodical
Source
IEEE Transactions on Signal Processing IEEE Trans. Signal Process. Signal Processing, IEEE Transactions on. 66(17):4541-4552 Sep, 2018
Subject
Signal Processing and Analysis
Communication, Networking and Broadcast Technologies
Computing and Processing
Quaternions
Linear systems
Fourier transforms
Optics
Standards
Spectral analysis
Bivariate signal
polarization
LTI filter
quaternion Fourier transform
Wiener denoising
spectral synthesis
decomposition of bivariate signals
Language
ISSN
1053-587X
1941-0476
Abstract
A complete framework for the linear time-invariant (LTI) filtering theory of bivariate signals is proposed based on tailored quaternion Fourier transform. This framework features a direct description of LTI filters in terms of their eigenproperties enabling compact calculus and physically interpretable filtering relations in the frequency domain. The design of filters exhibiting fundamental properties of polarization optics (birefringence and diattenuation) is straightforward. It yields an efficient spectral synthesis method and new insights on Wiener filtering for bivariate signals with prescribed frequency-dependent polarization properties. This generic framework facilitates original descriptions of bivariate signals in two components with specific geometric or statistical properties. Numerical experiments support our theoretical analysis and illustrate the relevance of the approach on synthetic data.