In a parallel distributed detection in order to design the optimal fusion rule, the fusion center needs to have perfect knowledge of the performance of the ...

In a parallel distributed detection system each local detector makes a decision based on its own observations and transmits its local decision to a fusion ...

Jan 31, 2011 · Abstract: In a parallel distributed detection system each local detector makes a decision based on its own observations and transmits its ...

In this thesis, we propose a blind technique for the general distributed detection problem with multiple hypotheses. We start by formulating the optimal M-ary ...

This work proposes a blind technique for the M-ary distributed detection problem and derives least squares (LS) and maximum likelihood (ML) estimates of ...

Optimal distributed detection of multiple hypotheses using blind algorithm. 2011, IEEE Transactions on Aerospace and Electronic Systems. Blind adaptive ...

Parallel distributed detection schemes for M-ary hypothesis testing often assume that for each observation the local detector transmits at least log2M bits ...

Some astronomy projects require a blind search through a vast number of hypotheses to detect objects of interest. The number of hypotheses to test.

This paper addresses the problem of detecting the presence of data hidden in digital media by the Least Significant Bit (LSB) matching scheme.

Some astronomy projects require a blind search through a vast number of hypotheses to detect objects of interest. The number of hypotheses to test.