Detecting NQR signals severely polluted by interference

Detecting NQR signals severely polluted by interference

Nuclear Quadrupole Resonance (NQR) signal detection can be severely obstructed by interference in real life settings, especially when the interference is strong, nonstationary, and its frequencies are close to that of the NQR signal. A novel algorithm is proposed to effectively remove (or reduce) interference components in the data and facilitate a valid detection of the NQR signal. The propose...

Detecting Middlebox Interference on Applications

Middleboxes are widely used in today’s Internet, especially for security and performance. Recent studies have uncovered and studied middleboxes in different types of networks. Middleboxes classify, filter and shape traffic, therefore interfering with application performance. In this paper, we propose a tool to detect and locate middlebox interference for specific applications, specifically DNS ...

Detecting entanglement in spatial interference.

We discuss an experimentally amenable class of two-particle states of motion giving rise to nonlocal spatial interference under position measurements. Using the concept of modular variables, we derive a separability criterion which is violated by these non-Gaussian states. While we focus on the free motion of material particles, the presented results are valid for any pair of canonically conjug...

Interference suppression by joint demodulation of cochannel signals

Inter-cell cochannel interference (ICCI) is an inherent problem in all cellular systems due the necessity to reuse the same frequencies after a certain reuse distance. In GSM, the fact that the number of nearby cochannel interferers is relatively small leads to a high probability of a dominant interferer (DI). Hence, suppression of DI alone provides substantial capacity improvement for GSM. The...

Detecting Bifurcations in Voice Signals