[PDF] Top 20 Adaptive detection in nonhomogeneous environments using the generalized eigenrelation
Has 10000 "Adaptive detection in nonhomogeneous environments using the generalized eigenrelation" found on our website. Below are the top 20 most common "Adaptive detection in nonhomogeneous environments using the generalized eigenrelation".
Adaptive detection in nonhomogeneous environments using the generalized eigenrelation
... differently. The AMF, which is an energy detector, has excellent mainlobe sensi- tivity but is highly sensitive to sidelobe ...On the contrary, the ACE that measures the angle between ... Voir le document complet
4
The adaptive coherence estimator is the generalized likelihood ratio test for a class of heterogeneous environments
... Additionally, in [5], the authors proved the ACE to be the uniformly most powerful in- variant (UMPI) detection ...of the ACE under homogeneous and nonhomogeneous ... Voir le document complet
4
Adaptive Detection of Coherent Radar Targets in the Presence of Noise Jamming
... Besides, the proposed solution by its nature can reside in the signal processing unit of the system without the need of additional ...formulate the detection problem as a ... Voir le document complet
14
User-in-the-loop Adaptive Intent Detection for Instructable Digital Assistant
... comfortable using Digital Assis- tants (DAs) to interact with services or connected ...users, the available possibilities for customizing their DA are limited and do not include the possibil- ity of ... Voir le document complet
13
2011 — Towards adaptive anomaly detection systems using boolean combination of hidden Markov models
... pirically using validation data 1 . In addition, HMMs are designed to provide accurate results for a particular window size and anomaly ...over the entire detection space. In a previous ... Voir le document complet
344
Adaptive Detection Using Whitened Data When Some of the Training Samples Undergo Covariance Mismatch
... 10.1109/LSP.2020.2991893 in order to evaluate the performance loss due to operating under assumptions that are not ...analyze the GLRT, the AMF and the adaptive coherence ... Voir le document complet
6
Knowledge-aided bayesian detection in heterogeneous environments
... address the problem of detecting a signal of interest in the presence of noise with unknown covariance matrix, using a set of training ...where the environment is not homogeneous, i.e., ... Voir le document complet
4
Mu-suppression detection in motor imagery electroencephalographic signals using the generalized extreme value distribution
... Sanei, Adaptive Processing of Brain ...of the mu rhythm of human cortex: an electrophysiologic study with subdural electrodes,” Electroencepha- lography and Clinical Neurophysiology, ...rhythm in ... Voir le document complet
6
A bayesian approach to adaptive detection in nonhomogeneous environments
... about the primary data covariance matrix was ...concerns the model itself. As it stands, the pro- posed model provides a good way of modeling information in the ...indeed the ... Voir le document complet
13
Adaptive detection using randomly reduced dimension generalized likelihood ratio test
... operate in an uncertain environment where the number of data available to learn the environment is smaller than the number of space and/or time channels [1–3] ...typically the case with ... Voir le document complet
5
Image-Based Navigation in Real Environments Using Panoramas
... extend the work of Fiala in several ways, producing a more usable ...importantly the catadioptric cameras used to create the cube panoramas are replaced by a multi-sensor panoramic camera with ... Voir le document complet
5
Autonomous navigation in unknown environments using machine learning
... To evaluate this novelty detection approach on a visual navigation domain, we trained an autoencoder on a set of simulated camera images from a hallway-type environmen[r] ... Voir le document complet
175
Analytical studies of the generalized likelikhood ratio technique for failure detection.
... The associated probability (of wrong time cross detection) may be greater than the probability of correct time cross detection implying that a mismatched failure is m[r] ... Voir le document complet
95
Self-adaptive web intrusion detection system
... adapting the intrusion signatures ...intrusion detection in system com- mand sequences. In this method, normal and abnormal (intrusions) behaviors are modeled by ...that the sequence ... Voir le document complet
28
Analytical studies of the generalized likelikhood ratio technique for failure detection
... Therefore, under such an assumption, the statistical pro- perties of the likelihood ratios of a SGLR detector are determined by their joint density (3-9)... the actual failure [r] ... Voir le document complet
96
Adaptive reflective processes using the IMS-LD specification
... learning The other concern of this work is for ADAPTIVITY, that is the possibility to tune the learning experience to the characteristics of learners (age, knowledge level, needs, objectives, ... Voir le document complet
1
Adaptive detection of a Gaussian signal in Gaussian noise
... Abstract—Adaptive detection of a Swerling I-II type target in Gaussian noise with unknown covariance matrix is addressed in this ...paper. The most celebrated approach to this problem ... Voir le document complet
5
Detecting Flutter Waves in the Electrocardiogram Using Generalized Likelihood Ratio Test
... p(w). In this paper, we consider two distribu- tions: normal Gaussian and ...Laplacian. The latter is par- ticularly common with electrophysiological signals, where the noise tends to be spiky and ... Voir le document complet
5
Plugging-in Proof Development Environments using Locks in LF
... use the full machinery of CLLFP to provide an appropriate encoding of FPST where the global normalization constraint is enforced locally by check- ing the ...beautifully the bag of tricks that ... Voir le document complet
27
Automatic Photoreceptor Detection in In-Vivo Adaptive Optics Retinal Images: Statistical Validation
... of the 13 images, 4 patch images were extracted. The patch image sizes were chosen so that each patch contains between 50 and 200 ...presented in a random order to two ophtalmogist physicians of ... Voir le document complet
9
Sujets connexes