Spectral correlation and cyclic feature detection
Signal Type Detection in CRN :A Machine Learning Framework Using Spectral Correlation Feature
... using spectral correlation analy- sis at each secondary user are treated as features and fed into the ...of detection accuracy,average training time and classification ...optimal feature set ...
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An intrusion detection system based on polynomial feature correlation analysis
... intrusion detection techniques have been extensively ...Intrusion Detection Systems (IDSs) are divided into two categories, namely signature-based (or misused-based) detection and anomaly-based ...
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Power Spectral Density Based Technique for Feature Detection in SAR Images
... The inherent ocean roughness often adds more noise to the ocean SAR images. The incident microwave radiations strike the various targets on the ocean surface and the backscattered radiations generated undergo a change in ...
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Spectral feature detection with Sub-Nyquist sampling for wideband spectrum sensing
... a feature-based technique for pri- mary user’s spectrum identification with interference immunity which works with a reduced amount of ...known spectral shape of the primary user with the power ...
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Spectral Correlation of Multicarrier Modulated Signals and Its Application for Signal Detection
... cited. Spectral correlation theory for cyclostationary time-series signals has been studied for ...of spectral correlation function for various types of analog-modulated and digital-modulated ...
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Spectral Correlation of Multicarrier Modulated Signals and its Application for Signal Detection
... cited. Spectral correlation theory for cyclostationary time-series signals has been studied for ...of spectral correlation function for various types of analog-modulated and digital-modulated ...
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Spectral Ranking and Unsupervised Feature Selection for Point, Collective and Contextual Anomaly Detection
... abnormal classification and generates a ranking for the collective anomaly detection. Compared with SRA, the performance of OC-SVM is always dominated by SRA and the gap is almost always noticeable. Similar to the ...
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Signal Classification in Fading Channels Using Cyclic Spectral Analysis
... An additional method to compensate for channel cor- ruption in the SOF computation is through a variant of the MRC. While the SOF was derived to be highly insensitive to channel distortion in (10), the SOF image obtained ...
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Signal Classification in Fading Channels Using Cyclic Spectral Analysis
... An additional method to compensate for channel cor- ruption in the SOF computation is through a variant of the MRC. While the SOF was derived to be highly insensitive to channel distortion in (10), the SOF image obtained ...
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Spectral-Feature-Based Analysis of Reflectance and Emission Spectral Libraries and Imaging Spectrometer Data
... of spectral-feature-based analysis to identifying and mapping Earth-surface materials using spectral libraries and imaging spectrometer ...data. Feature extraction utilizing a ...
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Sinusoids, noise and transients: spectral analysis, feature detection and real-time transformations of audio signals for musical applications
... onset detection The Simpl sinusoidal modelling library that was introduced in Chapter 3 is a com- prehensive framework for the analysis and synthesis of deterministic and stochas- tic sound ...
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FCAAIS: Anomaly based network intrusion detection through feature correlation analysis and association impact scale
... the feature correlation analysis and association impact scale is explored to estimate the degree of intrusion scope threshold from the optimal features of network transaction data available for ...intrusion ...
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Warder: Online Insider Threat Detection System Using Multi-Feature Modeling and Graph-Based Correlation
... the feature patterns from the known threat scenarios and create a feature tree for each ...anomalous feature set with the threat scenario feature trees T ...
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Spectral-spatial Feature Extraction for Hyperspectral Image Classification
... the correlation coefficients between a central pixel and its 9 × 9 neighbourhood pixels of an image from the Indian Pines ...based spectral- spatial method ...pixel correlation to see how the mean ...
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Handwriting: Feature Correlation Analysis for Biometric Hashes
... that feature selection for supervised classification tasks can be accomplished on the basis of correlation-based filter selection (CFS) has been explored ...reduced feature set in many cases and ...
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Comparison of Feature-List Cross-Correlation Algorithms with Common Cross-Correlation Algorithms
... a feature-list cross-correlation algorithm based on: a common feature extraction algorithm, a transformation of the results into a feature-list representation form, and a list-based ...
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Unsupervised Spectral Ranking For Anomaly Detection
... a spectral ranking method for anomaly detection ...the spectral optimization can be interpreted as a relaxation of the unsuper- vised SVM; consequently the absolute value of a non-principal ...
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Change Detection in Hyper Spectral Images
... hyper spectral images are compared to obtain the change detection ...change detection map, no matter whether the corresponding pixels in the other dataset are correctly classified or ...hyper ...
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Spectral detection of thalassemia: a preliminary study
... our spectral analysis, shown in Figure 1 which is the fluores- cence spectra of the cellular component acetone ...one correlation between the microscopic cell counts and the spectroscopic molecular ...
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Compressed sensing based cyclic feature spectrum sensing for cognitive radios
... signal detection in low SNR ...unique cyclic spectrum features that are not found in cyclic spectrums of narrowband ...The detection enhancement techniques will allow identification of the ...
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