In this paper some simple methods are given for predicting the possibility of singular detection of known signals in additive gaussian noise. Such methods are ...

In this paper some simple methods are given for predicting the possibility of singular detec- tion of known signals in additive gaussian noise. Such methods are.

A mathematical model that leads to singular detection (ie., detection with arbitrarily low probability of error) is usually a poor model of the physical ...

A mathematical model that leads to singular detection (ie., detection with arbitrarily low probability of error) is usually a poor model of the physical ...

This work presents a method of reducing the detection problem to a finite-dimensional form where many of the difficulties with the infinite-series K-L ...

Dec 4, 2022 · Learn the details of Singular's fraud detection ... Let's look at some simple cases of attribution decisions affected by fraud evaluation results.

Two examples of core detection results by the five singular points detection methods and the proposed method: (a) the core detection results on No.0311; ...

Detecting the singular point accurately and efficiently is one of the most important tasks for fingerprint recognition. In recent years, deep learning has been ...

Nov 27, 2020 · This paper proposes a method for evaluating the singular value based on the original output data produced by the sensor to accurately classify ...

Some comparison results of singular point detection. First row is the detected results using conventional algorithm [6] and second row is using the proposed ...