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Neyman-Pearson optimal detector

Noise enhanced detection in restricted Neyman-Pearson framework

Noise enhanced detection in restricted Neyman-Pearson framework

... the Neyman-Pearson framework, additive noise can be utilized to increase detection probability of a suboptimal detector under a constraint on false-alarm probability ...the Neyman- ...

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Radar detection with the Neyman–Pearson criterion using supervised-learning-machines trained with the cross-entropy error

Radar detection with the Neyman–Pearson criterion using supervised-learning-machines trained with the cross-entropy error

... NP detector to be implemented, both likelihood functions must be ...NP detector, just using training data obtained experimentally, without knowledge of the like- lihood ...the optimal NP ...

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Detection of Primary User in Cognitive Radio Using Bayesian Approach

Detection of Primary User in Cognitive Radio Using Bayesian Approach

... the optimal detector for binary hypothesis testing based on Bayesian rule or Neyman-Pearson theorem is to compute the likelihood ratio and then make its decision by comparing the ratio with ...

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Semi-Supervised Novelty Detection

Semi-Supervised Novelty Detection

... A common setting for novelty detection assumes that labeled examples from the nominal class are available, but that labeled examples of novelties are unavailable. The standard (inductive) ap- proach is to declare ...

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Optimal Detector for Multiplicative Watermarks Embedded in the DFT Domain of Non White Signals

Optimal Detector for Multiplicative Watermarks Embedded in the DFT Domain of Non White Signals

... that the Fourier magnitude does not follow the generalized Gaussian distribution. They propose the Weibull one, due to the facts that its support domain is the set of the posi- tive real numbers and that it represents a ...

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Block Adaptive Kernel Based CDMA Multiuser Detector

Block Adaptive Kernel Based CDMA Multiuser Detector

... performance, and it exhibits a significantly sparser kernel represen- tation than the SVM aided MUD. More specifically, an RVM as- sisted MUD typically has fewer kernels functions, than the number of noise-free signal ...

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Matrix Kummer-Pearson VII Relation and Polynomial Pearson VII Configuration Density

Matrix Kummer-Pearson VII Relation and Polynomial Pearson VII Configuration Density

... Thus the implicit numerical difficulties for truncation of any config- uration density motivate two areas of investigation: first, continue the numerical approach started by (Koev and Edelman (2006)) with the confluent ...

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A Plug-in Approach to Neyman-Pearson Classification

A Plug-in Approach to Neyman-Pearson Classification

... The Neyman-Pearson (NP) paradigm in binary classification treats type I and type II errors with different ...fundamental Neyman-Pearson Lemma, we propose two related plug-in classifiers which ...

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Locally optimal detector design in impulsive noise with unknown distribution

Locally optimal detector design in impulsive noise with unknown distribution

... Notation: About the polynomial order P, practical expe- rience shows that 10 ≤ P ≤ 20 is suitable for polynomial fitting. Otherwise, if P is too small, the designed polyno- mial cannot represent the nonlinearity beyond ...

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Symmetric Kernel Detector for Multiple Antenna Aided Beamforming Systems

Symmetric Kernel Detector for Multiple Antenna Aided Beamforming Systems

... is optimal for the linear beamforming. The true optimal solution for the multiple antenna aided beamforming detector, however, is nonlinear ...

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Development Of Optimal Photosensors Based Heart Pulse Detector

Development Of Optimal Photosensors Based Heart Pulse Detector

... transmit through a blood. After that it will determine the amount of light absorbed by oxygenated and deoxygenated hemoglobin. In addition, the oxygenated blood especially red color whereas deoxygenated blood has a dark ...

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Experimental Confirmation of the Doubts about Authenticity of Event GW150914

Experimental Confirmation of the Doubts about Authenticity of Event GW150914

... For example, the Butterworth filter is physically realizable (causal) filter. If the real (true) signals shown in Figure 1, the effect of change in frequency observed well by 0.33 seconds by which you can visually detect ...

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A Strategic Approach PEARSON

A Strategic Approach PEARSON

... Chapter Summary 279 • Key Terms 279 • Questions for Discussion 280 • Web-Based Exercise: Site Selection Online (www.siteselection.com) 280. Chapter 10 Site Selection 281[r] ...

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Pearson s Correlation

Pearson s Correlation

... Pearson’s correlation coefficient is a measure of the intensity of the linear association between variables.. • It is possible to have non-linear associations.[r] ...

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Welcome to Pearson Rowe

Welcome to Pearson Rowe

... addition, Pearson Rowe has acted for Mr Denbigh’s wife, who was the executor of her mother’s estate, in carrying out the conveyancing of her mother’s ...to Pearson Rowe for a deed of ...And Pearson ...

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Semi Optimal Edge Detector based on Simple Standard Deviation with Adjusted Thresholding

Semi Optimal Edge Detector based on Simple Standard Deviation with Adjusted Thresholding

... Edge detection is one of the most important techniques that have been commonly implemented in image processing and computer vision. There are many image processing applications that are based on edge detection like image ...

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Pearson s Correlation Coefficient

Pearson s Correlation Coefficient

... Remember, if there does not appear to be a linear relationship, then calculating the value of r does not make sense.. This indicates a very strong positive relationship between the fin[r] ...

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Decision Feedback Equalisation Using Multiple Hyperplane Partitioning for Detecting ISI Corrupted $M$ ary PAM Signals

Decision Feedback Equalisation Using Multiple Hyperplane Partitioning for Detecting ISI Corrupted $M$ ary PAM Signals

... Signal space partitioning techniques for binary intersymbol interference (ISI) channels have been developed. Notably, Moon and Jeon [12] developed a detector using the Voronoi diagram. Kim and Moon [13], [14] ...

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Numeracy in Nursing and Healthcare: calculations and practice

Numeracy in Nursing and Healthcare: calculations and practice

... ( ea y in ursing and ealthcare AUSTRALIAN EDITION PEARSON Copyright © Pearson Australia (a division of Pearson Australia Group Pty Ltd) 2012 Pearson Australia Unit 4, Level 3 14 Aquatic Drive Frenchs[.] ...

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Design and Development of Smart Robot Car for Border Security

Design and Development of Smart Robot Car for Border Security

... Sensory network in our proposed system detect parameters like human presence, harmful gases, pistols, bombs, mines, fire etc at remote areas. In border areas, we know the entry of any human is totally prohibited. Through ...

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