• No results found

Fusion rule

A decoding based fusion rule for cooperative spectrum sensing with nonorthogonal transmission of local decisions

A decoding based fusion rule for cooperative spectrum sensing with nonorthogonal transmission of local decisions

... based fusion rule for cognitive radio networks with nonorthogonal transmission of local decisions in the pres- ence of channel impairments and ...proposed fusion rule first performs the MMSE ...

10

Electrical detection of the Majorana fusion rule for chiral edge vortices in a topological superconductor

Electrical detection of the Majorana fusion rule for chiral edge vortices in a topological superconductor

... non-Abelian fusion rule of Majorana zero- ...the fusion of two pairs of edge vortices is a fluctuating electrical current I L and I R through two Josephson junc- tions, induced by a 2 π phase shift ...

21

Optimal fusion rule for distributed detection in clustered wireless sensor networks

Optimal fusion rule for distributed detection in clustered wireless sensor networks

... cluster-based fusion rule (OCR), which is a weighted average of the local decision sum of each ...cluster-based fusion (GCR) is developed to handle the case of unknown intruder’s ...

12

Performance comparison of the Neyman-Pearson fusion rule with counting rules for spectrum sensing in cognitive radio

Performance comparison of the Neyman-Pearson fusion rule with counting rules for spectrum sensing in cognitive radio

... data fusion rules (AND, OR and Majority) and the proposed data fusion rule (NP) for the case = 3 ...data fusion rule (NP) comparing with that of the other decision fusion rules ...

17

MULTISPECTRAL MEDICAL IMAGE FUSION FOR ALZHEIMER DISEASE USING ADAPTIVE BLOOD FLOW WEIGHT BASED FUSION RULE

MULTISPECTRAL MEDICAL IMAGE FUSION FOR ALZHEIMER DISEASE USING ADAPTIVE BLOOD FLOW WEIGHT BASED FUSION RULE

... image fusion algorithm using the hybrid of Principal Component Analysis (PCA) and Orthogonal Matching Pursuit ...average fusion is used to fuse the sparse PCA result with the common feature thereby ...

16

ON RECOGNITION OF CIPHER BIT STREAM FROM DIFFERENT SOURCES USING MAJORITY VOTING FUSION RULE

ON RECOGNITION OF CIPHER BIT STREAM FROM DIFFERENT SOURCES USING MAJORITY VOTING FUSION RULE

... In Tables 5.1(a) to 5.1(d), we observe some wrong classifications i.e. the percentage of patterns, which are misclassified to other classes to whom they do not belong actually. But in Table 5.2, we can see that there are ...

22

Comparative Evaluation of DWT and DT-CWT for Image Fusion and De-noising

Comparative Evaluation of DWT and DT-CWT for Image Fusion and De-noising

... multi-resolution fusion schemes is motivated by the human visual system being primarily sensitive to local contrast changes, ...transform fusion all respective wavelet coefficients from the input images are ...

6

Impact of Average, Maximum and Energy Fusion Rules on the Performance of DWT, SWT & NSCT Based Fusion on Bio Medical Images

Impact of Average, Maximum and Energy Fusion Rules on the Performance of DWT, SWT & NSCT Based Fusion on Bio Medical Images

... the fusion of low frequency coefficients choose max and average fusion rules are applied whereas energy fusion rule has been used for high frequency coefficients ...

6

A new hybrid fusion technique for grayscale images & comparative analysis

A new hybrid fusion technique for grayscale images & comparative analysis

... Image Fusion is a process of combining the relevant information from a set of images into a single image, where the resultant fused image will be more informative and complete than any of the input ...image ...

6

Medical Image Fusion Based on Ripplet Transform Type-I

Medical Image Fusion Based on Ripplet Transform Type-I

... distorted. For images of IS2 the fused results shown in Figures 4((a2)– (d2)) are not so much distorted, but the illness information has been totally lost. Similar results have been obtained for other source images used ...

16

1.
													Assessment of proportional conflict redistribution rules for forest fire detection

1. Assessment of proportional conflict redistribution rules for forest fire detection

... dynamical fusion problematics. The PCR rule reorganizes the partial conflicting mass to the elements involved in the partial conflict, considering the conjunctive normal form of the partial ...conjunctive ...

7

Multimodal Medical Image Fusion using NSCT and DWT Fusion Frame Work

Multimodal Medical Image Fusion using NSCT and DWT Fusion Frame Work

... Image fusion based on the wavelets [7] was proven to be efficient in capturing one-dimensional ...wavelet fusion is limited directionality. Wavelet fusion does not give more information about edges ...

6

Performance Analysis of Cognitive Radio based on Cooperative Spectrum Sensing

Performance Analysis of Cognitive Radio based on Cooperative Spectrum Sensing

... k-out-of-N fusion rule with a constraint on the probability of detection and false alarm while in the throughput optimization setup, we maximize the throughput of the cognitive radio network, by deriving ...

7

Comparison of Medical Image Fusion Algorithm for Preserving the Edge Information Based On Improved Wavelet Coefficient Contrast

Comparison of Medical Image Fusion Algorithm for Preserving the Edge Information Based On Improved Wavelet Coefficient Contrast

... image fusion based on maximum pixel replacement fusion rule, in section IV fusion rule based on wavelet coefficient contrast is ...image fusion and Section VI described discrete ...

6

Photon Counting Image Fusion Algorithm Based on Adaptive Threshold of Regional Energy

Photon Counting Image Fusion Algorithm Based on Adaptive Threshold of Regional Energy

... counting fusion images with better effect, it is proposed a fusion algorithm based on adaptive threshold of regional energy fusion ...energy fusion method is used to solve ...corresponding ...

5

Performance Analysis of Trade Off in SE EE in Cooperative Spectrum Sensing

Performance Analysis of Trade Off in SE EE in Cooperative Spectrum Sensing

... with some reasonable values of sensing time, EE-SE trade-off is a well-known problem in CSS. The analysis of EE-SE trade- off is carried out based on the two important parameters, SNR and Sensing time. This work helps in ...

6

Different Parameters of Image Fusion Using Steerable Pyramid Transformation

Different Parameters of Image Fusion Using Steerable Pyramid Transformation

... the fusion rule, which is defined as the the way to combine the coefficients in the transform ...the fusion rule fuses these coefficients effectively and ...

6

Review on Fusion Algorithms for Multimodal Authentication System

Review on Fusion Algorithms for Multimodal Authentication System

... The fusion therefore is viewed as a classification ...biometrics fusion problem for verification (two class classification problem), given a set of training samples, a Support Vector Machine constructs a ...

7

Combination of molecular similarity measures using data fusion

Combination of molecular similarity measures using data fusion

... data fusion methods arose from recent work on their application to information retrieval (IR), specifically to the combination of the rankings produced by different retrieval mechanisms when applied to databases ...

18

Comparison of Back Propagation Algorithms and Fusion Methodology Using Dempster Shafer Rule in Medical Application

Comparison of Back Propagation Algorithms and Fusion Methodology Using Dempster Shafer Rule in Medical Application

... Dempster-Shafer's rule has been adopted to combine the output of these three Back Propagation neural networks into single one to enhance the target ...the fusion method would provide a significantly higher ...

7

Show all 10000 documents...

Related subjects