Results 61 to 70 of about 1,451,319 (243)
An accurate knowledge of the sound field distribution inside a room is required to identify and optimally locate corrective measures for room acoustics.
Pham Vu Thach, Lissek Hervé
doaj +1 more source
A clutter suppression algorithm via subspace‐weighted mixed‐norm minimisation
Space‐time adaptive processing (STAP) struggles to effectively suppress clutter in the heterogeneous clutter environment due to the lack of training samples.
Degen Wang+3 more
doaj +1 more source
The performance of microwave photonic signal processors based on microcombs with different input signal waveforms [PDF]
Microwave photonic (MWP) signal processors, which process microwave signals based on pho-tonic technologies, bring advantages intrinsic to photonics such as low loss, large processing bandwidth, and strong immunity to electromagnetic interference. Optical microcombs can offer a large number of wavelength channels and compact device footprints, which ...
arxiv +1 more source
Pulse repetition frequency (PRF) is an essential parameter in synthetic aperture radar (SAR). However, a small PRF value will cause spectrum ambiguity and a large value will increase the computational complexity.
Yujie Liang+3 more
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Unobtrusive medical instrumentation is a key in continuous patient monitoring. To increase compliance, multi-functional sensor concepts and measurement sites different from gold-standards are used. In this work, we aim to combine both approaches.
Klum Michael+4 more
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A Novel Multi-Angle SAR Imaging System and Method Based on an Ultrahigh Speed Platform
Considering the difficulty of pulse repetition frequency (PRF) design in multi-angle SAR when using ultra-high speed platforms, a multi-angle SAR imaging system in a unified coordinate system is proposed.
Wensheng Chang+4 more
doaj +1 more source
Micro‐Doppler frequency estimation and association via the inverse‐free complex SBL TVAR method
A micro‐Doppler frequency estimation and association algorithm of the space target based on the time‐varying autoregressive (TVAR) model is proposed herein.
Nan Su+3 more
doaj +1 more source
Uniform attribute-content model
There have been growing needs for text processing, such as classifying, retrieving and clustering. The foundation of such a process is to extract features, which can best describe the text. Great progress has been made in text modelling. However, most of
Yingzhuo Xiang+4 more
doaj +1 more source
Sparse recovery algorithms have been applied to the Space‐time adaptive processing for reducing the requirement of samples over the past 15 years. However, many Sparse recovery algorithms are not robust and need accurate user parameters.
Cheng Liu+3 more
doaj +1 more source
Signal denoising based on the Schrödinger operator's eigenspectrum and a curvature constraint [PDF]
Recently, a new Signal processing method, named Semi-Classical Signal Analysis (SCSA), has been proposed for denoising Magnetic Resonance Spectroscopy (MRS) signals. It is based on the Schr\"odinger Operator's eigenspectrum. It allows an efficient noise reduction while preserving MRS signal's peaks.
arxiv