Synthetic signal injection using a single radiofrequency channel

Quantitative In Vivo Magnetic Resonance Spectroscopy Using Synthetic Signal Injection

Accurate conversion of magnetic resonance spectra to quantitative units of concentration generally requires compensation for differences in coil loading conditions, the gains of the various receiver amplifiers, and rescaling that occurs during post-processing manipulations. This can be efficiently achieved by injecting a precalibrated, artificial reference signal, or pseudo-signal into the data...

Detecting slow wave sleep using a single EEG signal channel.

BACKGROUND In addition to the cost and complexity of processing multiple signal channels, manual sleep staging is also tedious, time consuming, and error-prone. The aim of this paper is to propose an automatic slow wave sleep (SWS) detection method that uses only one channel of the electroencephalography (EEG) signal. NEW METHOD The proposed approach distinguishes itself from previous automat...

Single Channel Signal Separation Using Maximum Likelihood Subspace Projection

This paper presents a technique for extracting multiple source signals when only a single channel observation is available. The proposed separation algorithm is based on a subspace decomposition. The observation is projected onto subspaces of interest with different sets of basis functions, and the original sources are obtained by weighted sums of the projections. A flexible model for density e...

Single Channel Signal Separation Using MAP-based Subspace Decomposition

Introduction: Extracting multiple source signals from a single channel mixture is a challenging research field with numerous applications. Conventional methods are mostly based on splitting mixtures observed as a single stream into different acoustic objects, by building an active scene analysis system for the acoustic events that occur simultaneously in the same spectro-temporal regions. Recen...

Blind single channel deconvolution using nonstationary signal processing