Relative transfer function estimation exploiting instantaneous signals and the signal subspace [PDF]
Publication in the conference proceedings of EUSIPCO, Nice, France ...
Emanuël A. P. Habets, Maja Taseska
openalex +4 more sources
Objective and efficient terahertz signal denoising by transfer function reconstruction [PDF]
As an essential processing step in many disciplines, signal denoising efficiently improves data quality without extra cost. However, it is relatively under-utilized for terahertz spectroscopy.
Xuequan Chen +3 more
doaj +4 more sources
Relative Transfer Function Identification Using Speech Signals [PDF]
An important component of a multichannel hands-free communication system is the identification of the relative transfer function between sensors in response to a desired source signal. In this paper, a robust system identification approach adapted to speech signals is proposed.
Israel Cohen
openalex +2 more sources
Analysis of room transfer function and reverberant signal statistics [PDF]
For some time now, statistical analysis has been a valuable tool in analyzing room transfer functions (RTFs). This work examines existing statistical time-frequency models and techniques for RTF analysis (e.g., Schroeder's stochastic model and the standard deviation over frequency bands for the RTF magnitude and phase). RTF fractional octave smoothing,
Eleftheria Georganti +2 more
openalex +3 more sources
Analytical Probe Compensation Under Transient Signals Using a Transfer Function Approach [PDF]
A larger deployment of power-electronic converters, with increasingly high switching frequencies, can be observed and associated with a higher complexity to achieve optimal performance not only on design, integration, reliability, and cost of power solutions but also on related electromagnetic compatibility measurements.
Francinei L. Vieira, Muhammad Alamsyah
openalex +4 more sources
Transfer functions linking neural calcium to single voxel functional ultrasound signal [PDF]
AbstractFunctional ultrasound imaging (fUS) is an emerging technique that detects changes of cerebral blood volume triggered by brain activation. Here, we investigate the extent to which fUS faithfully reports local neuronal activation by combining fUS and two-photon microscopy (2PM) in a co-registered single voxel brain volume.
Ali-Kemal Aydin +9 more
openalex +5 more sources
Eigenfilters for the design of special transfer functions with applications in multirate signal processing [PDF]
Based on the multistage approach, a design procedure is presented for finding a spectral factor of an mth-band filter and for designing multistage decimation filters. The proposed design method finds spectral factors of mth-band FIR (finite-impulse response) filters without direct computation, and yields filters with much higher attenuation than would ...
T. Q. Nguyen +2 more
openalex +6 more sources
Transfer function approach to understanding periodic forcing of signal transduction networks [PDF]
Abstract Signal transduction networks are responsible for transferring biochemical signals from the extracellular to the intracellular environment. Understanding the dynamics of these networks helps understand their biological processes. Signals are often delivered in pulses and oscillations.
Nguyen Tran, Andrew H. A. Clayton
openalex +3 more sources
Calculation of playback signals from MFM images using transfer functions [PDF]
Magnetic force microscopy has proven to be a suitable tool for analysis of high-density magnetic recording materials. Comparison of the MFM image of a written signal with the actual read-back signal of the recording system can give valuable insight in the recording properties of both heads and media.
S.J.L. Vellekoop +4 more
openalex +4 more sources
Multidimensional Wave Field Signal Theory: Transfer Function Relationships [PDF]
The transmission of information by propagating or diffusive waves is common to many fields of engineering and physics. Such physical phenomena are governed by a Helmholtz (real wavenumber) or pseudo‐Helmholtz (complex wavenumber) equation. Since these equations are linear, it would be useful to be able to use tools from signal theory in solving related
Natalie Baddour
openalex +3 more sources

