Joint Data Detection and PHN Mitigation
Joint CFO Estimation and Data Detection in OFDM systems
... performing joint estimation that was based on a linear search method was ...and data detection was ...for joint estimate CFO and detect data in the time domain for OFDM systems over ...
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PREVENTION, DETECTION & MITIGATION PRACTICES.pdf
... companies making application to enter into a demonstration program established by Congress in the reauthorization of the Pipeline Safety Act in 1996. One of the drawbacks of the current regulatory structure was that it ...
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Fraud Detection & Mitigation Strategies
... Deviation allows you to detect fraud by identifying “typical” purchasing behavior for your customers and treating any deviation from that pattern with increased caution. For example, a customer purchasing 10 digital ...
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JOINT CHANNEL ESTIMATION AND DATA DETECTION FOR ALAMOUTI STBC WITH NO CSI
... The performance of space-time block codes depends on the type of modulation and the number of transmit and receive antennas used. Complex modulations give better bit-error-rate performance than real modulations and it is ...
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Joint Maximum Likelihood Channel Estimation and Data Detection for MIMO Systems
... The nonzero entries of T depend on the modulation scheme used, and in the BPSK case they take the values from { +1 , − 1 } . The scaling ambiguity can be resolved easily by using a differ- ential encoding of data. ...
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Hemodynamic-informed parcellation of fMRI data in a Joint Detection Estimation framework
... Lotfi Chaari, Florence Forbes, Thomas Vincent, Philippe Ciuciu. Hemodynamic-informed par- cellation of fMRI data in a Joint Detection Estimation framework. Nicholas Ayache and Herv´ e Delingette and ...
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Hemodynamic-Informed Parcellation of fMRI Data in a Joint Detection Estimation Framework
... Within-subject analysis in event-related BOLD fMRI mainly relies on (i) detec- tion of evoked activity to localize which parts of the brain are activated by a given stimulus type, and on (ii) estimation of the dynamics ...
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Hemodynamic-Informed Parcellation of fMRI Data in a Joint Detection Estimation Framework
... the Joint Detection-Estimation (JDE) framework introduced in [9] and extended in [10, 12, 13] to account for spatial correlation between ...novel Joint Parcellation-Detection-Estimation (JPDE) ...
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Android Malware: Detection, Characterization, and Mitigation
... or data outside the ...sensitive data or performing dangerous operations via binder [22], the Android’s ubiquitous inter-process communication ...private data by both malicious and ...
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Major Web Application Threats for Data Privacy & Security - Detection, Analysis and Mitigation Strategies
... and data security are inseparable, interdependent and complement each ...personal data including financial transaction data is at ...ensuring data security of any web application hosted on ...
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MIMO radar clutter mitigation based on joint beamforming and joint domain localized processing
... target detection in clutter environment can be conducted in all the directions of the formed beams in ...clutter mitigation in a localized angle-Doppler space based on a novel RR multistage Wiener filter ...
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Blind Joint Maximum Likelihood Channel Estimation and Data Detection for SIMO Systems
... a data sequence of N × L samples, and denote N VA the total number of VA calls required for the RWBS algo- rithm to ...blind joint ML channel estimation and data detection for the SISO system, ...
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Joint Contour Net Analysis for Feature Detection in Lattice Quantum Chromodynamics Data
... environments. Data sets are typically gener- ated using Monte Carlo methods, providing an ensemble of configurations, from which observable averages must be ...the data as a typical ensemble study can ...
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Joint probabilistic data association filter with unknown detection probability and clutter rate
... of detection probability and clutter rate in ...the detection probability, dependent on the sensors and the scenarios, can be tested via offline experiments, it might not be cost-effective and they are ...
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Bayesian Joint Detection-Estimation of cerebral vasoreactivity from ASL fMRI data
... Abstract. Although the study of cerebral vasoreactivity using fMRI is mainly conducted through the BOLD fMRI modality, owing to its relatively high signal-to-noise ratio (SNR), ASL fMRI provides a more interpretable ...
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A Detection and Mitigation System for Unintended Acceleration: An Integrated Hybrid Data-driven and Model-based Approach
... thresholds are set big enough to obtain a satisfactory detection rate, many false alarms are sent. When conservative thresholds are defined to guarantee high precision, only a small number of errors can be ...
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Detection and Mitigation of Flooding Attack in WIMax Network
... For scrambling, the attackers will scramble the uplink slots of other MS’s by their own data and make it unreadable for BS. Jamming at the physical layer is a kind of denial-of-service (DoS) attack that uses ...
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A Peer to Peer Botnet: Implementation, Detection and Mitigation
... 1) De-obfuscation Process: Using the ―IDA Pro‖ debugger, we were able to debug the malware and step through the instructions to analyze and understand the logic of the de-obfuscation routines. Each routine reveals some ...
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WhitePaper. Mitigation and Detection with FortiDDoS Fortinet. Introduction
... Dynamic packet filtering, dynamic filtering, stateful connection analysis, stateful flow analysis, stateful analysis, stateful inspection, stateful packet inspection are all terms that refer to methods that maintain ...
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Ensemble-based DDoS detection and mitigation model
... Semi-final) data: differ- ent source IPs led to the target server having to maintain an ARP-table of 64,000, since without an entry to map the IP-address of outgoing packets to the required MAC-address, the ...
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