Reliability of a tree network using multinomial distribution

2002 ◽  
Author(s):  
S.S. Tung ◽  
M.-F. Lu
Keyword(s):  
Multinomial Distribution ◽  
Tree Network

scholarly journals A Novel Blind Signal Detector Based on the Entropy of the Power Spectrum Subband Energy Ratio

Entropy ◽  
2021 ◽  
Vol 23 (4) ◽  
pp. 448
Author(s):  
Han Li ◽  
Yanzhu Hu ◽  
Song Wang
Keyword(s):  
Power Spectrum ◽  
Detection Method ◽  
Multinomial Distribution ◽  
Sample Entropy ◽  
Energy Ratio ◽  
Statistical Characteristics ◽  
Interval Probability ◽  
Blind Signal ◽  
Signal Detector ◽  
Subband Energy

In this paper, we present a novel blind signal detector based on the entropy of the power spectrum subband energy ratio (PSER), the detection performance of which is significantly better than that of the classical energy detector. This detector is a full power spectrum detection method, and does not require the noise variance or prior information about the signal to be detected. According to the analysis of the statistical characteristics of the power spectrum subband energy ratio, this paper proposes concepts such as interval probability, interval entropy, sample entropy, joint interval entropy, PSER entropy, and sample entropy variance. Based on the multinomial distribution, in this paper the formulas for calculating the PSER entropy and the variance of sample entropy in the case of pure noise are derived. Based on the mixture multinomial distribution, the formulas for calculating the PSER entropy and the variance of sample entropy in the case of the signals mixed with noise are also derived. Under the constant false alarm strategy, the detector based on the entropy of the power spectrum subband energy ratio is derived. The experimental results for the primary signal detection are consistent with the theoretical calculation results, which proves that the detection method is correct.

An architecture based routing for heterogeneous fat tree network on chip

2015 ◽  
Author(s):  
Hridoy Jyoti Mahanta ◽  
Abhijit Biswas ◽  
Anwar Hussain
Keyword(s):  
Network On Chip ◽  
Tree Network ◽  
On Chip

Numerical studies on different two-dimensional micromixers basing on a fractal-like tree network

2015 ◽  
Vol 23 (3) ◽  
pp. 755-763 ◽  
Author(s):  
Xueye Chen ◽  
Zhen Zhang ◽  
Dengli Yi ◽  
Zengliang Hu
Keyword(s):  
Two Dimensional ◽  
Tree Network ◽  
Numerical Studies

The mean and variance of the likelihood ratio criterion for the multinomial distribution

Metrika ◽  
1979 ◽  
Vol 26 (1) ◽  
pp. 57-61 ◽  
Author(s):  
K. Hutcheson ◽  
N. I. Lyons
Keyword(s):  
Likelihood Ratio ◽  
Multinomial Distribution ◽  
Likelihood Ratio Criterion ◽  
Ratio Criterion ◽  
Mean And Variance ◽  
The Mean

A Graphical Method to Evaluate Sample Sizes for the Multinomial Distribution

Technometrics ◽  
1974 ◽  
Vol 16 (3) ◽  
pp. 469-471 ◽  
Author(s):  
Claude Angers
Keyword(s):  
Graphical Method ◽  
Multinomial Distribution ◽  
Sample Sizes

scholarly journals Design of T-shaped nanophotonic wire waveguide for optical interconnection in H-tree network

2011 ◽  
Vol 19 (27) ◽  
pp. 26827 ◽  
Author(s):  
H. Kurt ◽  
I. H. Giden ◽  
D. S. Citrin
Keyword(s):  
Optical Interconnection ◽  
Tree Network
Sign in / Sign up

Export Citation Format

Share Document