In research, the usefulness of the analytical results is crucially dependent upon the quality of the measurements. However, data measured by instruments is always corrupted. The desired information—-the "signal"-—may be distorted by a variety of effects, especially noise. In spectroscopy, there are two additional significant causes of signal corruption—-instrumental blurring and baseline distortion. Consequently, signal processing is required to extract the desired signal from the undesired components. Thus, there is an on-going need for signal enhancement algorithms which collectively can 1) perform high quality signal-to-noise-ratio (SNR) enhancement, especially in very noisy environments, 2) remove instrumental blurring, and 3) correct b...
International audienceWe derive the full covariance matrix equations for proper treatment of correla...
Three different methods of spectrum reproduction and interferogram processing are discussed and cont...
This book covers the basics of processing and spectral analysis of monovariate discrete-time signals...
This paper investigates the problem of "musical noise" and proposes a new algorithm to reduce it. Mu...
We devised a novel two-step reference scheme that can greatly suppress the additive and convolutiona...
The behavior of noise in asynchronous spectrum in generalized two-dimensional (2D) correlation spect...
The direct combination of chemometrics and two-dimensional (2D) correlation spectroscopy is consider...
This thesis is focused on speech enhancement techniques based on short-time spectral amplitude (STSA...
Generalized two-dimensional correlation spectroscopy (2D-COS) can be used to enhance spectral resolu...
In this study, the applicability and limitations of several statistical and mathematical methods for...
Two dimensional correlation spectroscopy is a powerfull tool for spectral analysis. It is able to re...
Originally published as thesis (Dept. of Electrical Engineering and Computer Science, Sc.D., 1981).B...
Abstract: Today, image denoising by thresholding of wavelet coefficients is a commonly used tool for...
This paper examines theories of signal processing as applied to peak magnitude estimation in absorpt...
International audienceWe propose two algorithms for jointly estimating the power spectrogram and the...
International audienceWe derive the full covariance matrix equations for proper treatment of correla...
Three different methods of spectrum reproduction and interferogram processing are discussed and cont...
This book covers the basics of processing and spectral analysis of monovariate discrete-time signals...
This paper investigates the problem of "musical noise" and proposes a new algorithm to reduce it. Mu...
We devised a novel two-step reference scheme that can greatly suppress the additive and convolutiona...
The behavior of noise in asynchronous spectrum in generalized two-dimensional (2D) correlation spect...
The direct combination of chemometrics and two-dimensional (2D) correlation spectroscopy is consider...
This thesis is focused on speech enhancement techniques based on short-time spectral amplitude (STSA...
Generalized two-dimensional correlation spectroscopy (2D-COS) can be used to enhance spectral resolu...
In this study, the applicability and limitations of several statistical and mathematical methods for...
Two dimensional correlation spectroscopy is a powerfull tool for spectral analysis. It is able to re...
Originally published as thesis (Dept. of Electrical Engineering and Computer Science, Sc.D., 1981).B...
Abstract: Today, image denoising by thresholding of wavelet coefficients is a commonly used tool for...
This paper examines theories of signal processing as applied to peak magnitude estimation in absorpt...
International audienceWe propose two algorithms for jointly estimating the power spectrogram and the...
International audienceWe derive the full covariance matrix equations for proper treatment of correla...
Three different methods of spectrum reproduction and interferogram processing are discussed and cont...
This book covers the basics of processing and spectral analysis of monovariate discrete-time signals...