Rate-Optimal Detection of Very Short Signal Segments

07/10/2014
by   T. Tony Cai, et al.
0

Motivated by a range of applications in engineering and genomics, we consider in this paper detection of very short signal segments in three settings: signals with known shape, arbitrary signals, and smooth signals. Optimal rates of detection are established for the three cases and rate-optimal detectors are constructed. The detectors are easily implementable and are based on scanning with linear and quadratic statistics. Our analysis reveals both similarities and differences in the strategy and fundamental difficulty of detection among these three settings.

READ FULL TEXT
research
06/25/2019

On the Relationship Between Measures of Relative Efficiency for Random Signal Detection

Relative efficiency (RE), the Pitman asymptotic relative efficiency (ARE...
research
10/18/2022

An Efficient Ratio Detector for Ambient Backscatter Communication

Ambient backscatter communication (AmBC) leverages the existing ambient ...
research
03/27/2020

A super scalable algorithm for short segment detection

In many applications such as copy number variant (CNV) detection, the go...
research
12/07/2018

A method to align time series segments based on envelope features as anchor points

In the time series analysis field, there is not a unique recipe for stud...
research
07/17/2021

Calibrating the scan statistic with size-dependent critical values: heuristics, methodology and computation

It is known that the scan statistic with variable window size favors the...
research
02/06/2021

Multichannel adaptive signal detection: Basic theory and literature review

Multichannel adaptive signal detection jointly uses the test and trainin...
research
02/06/2018

Detection of sustained signals and its relation to coherent feedforward loops

Many studies have shown that cells use temporal dynamics of signaling mo...

Please sign up or login with your details

Forgot password? Click here to reset