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[PDF] Top 20 Adaptive processing with signal contaminated training samples

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Adaptive processing with signal contaminated training samples

Adaptive processing with signal contaminated training samples

... multi-channel processing, either for beam- forming or detection purposes, requires the knowledge of the disturbance covariance matrix , so as to cancel out this disturbance and retrieve the signal of ... Voir le document complet

13

Impact of Covariance Mismatched Training Samples on Constant False Alarm Rate Detectors

Impact of Covariance Mismatched Training Samples on Constant False Alarm Rate Detectors

... a signal of interest (SoI) among Gaussian noise with unknown covariance matrix with the help of training samples that share the same covariance is a fundamental problem in multichannel ... Voir le document complet

12

Analysis of the SNR Loss Distribution With Covariance Mismatched Training Samples

Analysis of the SNR Loss Distribution With Covariance Mismatched Training Samples

... mismatched training samples, SNR loss, distribution ...a signal of interest (SoI) in the presence of noise by means of a linear filter is an omnipresent issue in many engineering applications, ... Voir le document complet

11

Adaptive target detection in hyperspectral imaging from two sets of training samples with different means

Adaptive target detection in hyperspectral imaging from two sets of training samples with different means

... but with a broader ...intuitive processing, where the data are first converted to zero-mean data (demeaning step), using only the more representative training samples, and then a zero-mean ... Voir le document complet

17

Adaptive Detection Using Whitened Data When Some of the Training Samples Undergo Covariance Mismatch

Adaptive Detection Using Whitened Data When Some of the Training Samples Undergo Covariance Mismatch

... the adaptive coherence estimator (ACE) also referred to as a normalized AMF [12], ...training samples. Thereby, Gerlach considered scenarios where some training samples are ... Voir le document complet

6

Theme B: Biomedical signal and image processing

Theme B: Biomedical signal and image processing

... and signal processing in life sciences has been growing in recent ...systems. Processing, analysis and interpretation methods can become very com- plex and powerful tools have to be developed to ... Voir le document complet

4

Dataflow Modeling for Reconfigurable Signal Processing Systems

Dataflow Modeling for Reconfigurable Signal Processing Systems

... many processing units as needed to implement the CAL actors in a given input DPN; these processing units communicates together by means of communication channels, provided in hardware as Fifo ...each ... Voir le document complet

41

All-optical signal processing using silicon devices

All-optical signal processing using silicon devices

... efficient processing technologies never subsides. With the (re-) introduction of coherent communications and advanced modulation formats strongly bound to electronic digital signal processing ... Voir le document complet

4

Signal processing with unequally spaced data in Fourier-domain optical coherence tomography

Signal processing with unequally spaced data in Fourier-domain optical coherence tomography

... transforms with unequally sampled data in wavenumber space for Fourier-domain optical coherence tomography are ...obtained with a swept-source optical coherence tomography system and from com- putational ... Voir le document complet

5

A matching-related property of bipartite graphs with applications in signal processing

A matching-related property of bipartite graphs with applications in signal processing

... Our Contributions In the first part of the paper (Section 2 ), we define the robustness of identifiable bipartite graphs with respect to edge additions and deletions. This is useful in applications where the sets ... Voir le document complet

22

Thermal-wave resonant cavity signal processing

Thermal-wave resonant cavity signal processing

... performed with less uncertainty using the methodology we developed ...transfer. With the simplified model, curve fitting can be carried out to determine without knowledge of the property values of the TWRC ... Voir le document complet

14

Signal processing for laser-ultrasonic NDE

Signal processing for laser-ultrasonic NDE

... / La version de cette publication peut être l’une des suivantes : la version prépublication de l’auteur, la version acceptée du manuscrit ou la version de l’éditeur. Access and use of [r] ... Voir le document complet

2

Is training of adaptive equalizers still useful ?

Is training of adaptive equalizers still useful ?

... L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignemen[r] ... Voir le document complet

6

Signal processing for on-chip space division multiplexing

Signal processing for on-chip space division multiplexing

... conjunction with WDM, MDM could offer new possibilities to route signals on optical ...[6-10]. Signal processing could, once again, enable networking functionalities such as switching, multicasting, ... Voir le document complet

4

Adaptive Neural Signal Detection for Massive MIMO

Adaptive Neural Signal Detection for Massive MIMO

... MMNet overcomes this challenge with two key ideas. First, it uses a neural network archi- tecture that strikes the right balance between expressivity and complexity. MMNet's neural[r] ... Voir le document complet

58

Submarine Floating Antenna Model for LORAN-C Signal Processing

Submarine Floating Antenna Model for LORAN-C Signal Processing

... obtained with our identi"ed model for an incidence angle near - (transmitter 2 - record ...obtained with the whip aerial ...data with much more accuracy than the whip aerial model ...however, ... Voir le document complet

19

Advanced Signal Processing Algorithms for GNSS/OFDM Receiver

Advanced Signal Processing Algorithms for GNSS/OFDM Receiver

... transmitted signal reaching the ...received signal (the one of interest for ranging) is not necessarily the most powerful and might not even be ...shortest signal (either the direct signal, or ... Voir le document complet

169

Advances in statistical signal processing for infrasound events

Advances in statistical signal processing for infrasound events

... rapport signal à bruit (SNR pour si- gnal/noise ratio) en regardant des bandes de fréquence diverses dans lesquelles le signal d’intérêt se concentre potentiellement ou bien, alternativement, le bruit est ... Voir le document complet

206

Random matrices and applications to statistical signal processing

Random matrices and applications to statistical signal processing

... observations with dimension M, which are composed of a signal and a noise ...the signal part has a low rank correlation matrix while the noise part has a full rank correlation ...a signal ... Voir le document complet

110

Parametric optical signal processing in silicon waveguides with reverse-biased p-i-n junctions

Parametric optical signal processing in silicon waveguides with reverse-biased p-i-n junctions

... input signal was successfully achieved under CW pumping (20-dBm pump power) [4], as shown in ...efficiencies with a p-i-n juntion and a (reverse) bias voltage of 20 V or 0 V, as well as in an identical ... Voir le document complet

3

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