Offline processing of acoustic emission (AE) signal waveforms recorded during a long-term AE monitoring session is a challenging problem in AE testing area. This is due to the fact that today’s AE systems can work with up to hundreds of channels and are able to process tens of thousands of AE events per second. The amount of data recorded during the session is very high. This paper proposes a w...

Distributed Acoustic Sensing (DAS) involves the transmission of laser pulses along a fiber-optic cable. These are backscattered at fiber inhomogeneities and again detected by same interrogator unit that emits pulses. Elastic deformation causes phase shifts in which converted to spatially averaged strain measurements, typically regular intervals. DAS systems provide potential employ array proces...

Degradation of the ignition system can result in startup failure an aircraft’s auxiliary power unit. In this paper, a novel acoustics-based solution that enable condition monitoring APU was proposed. order to support implementation research study, experimental data set from Cranfield University’s Boeing 737-400 aircraft utilized. The overall execution approach comprised background noise suppres...

Speech perception is formed based on both the acoustic signal and listeners' knowledge of the world and semantic context. Access to semantic information can facilitate interpretation of degraded speech, such as speech in background noise or the speech signal transmitted via cochlear implants (CIs). This paper focuses on the latter, and investigates the time course of understanding words, and ho...

Low-power EM radar-like sensors have made it possible to measure properties of the human speech production system in real-time, without acoustic interference [1]. By combining these data with the corresponding acoustic signal, we’ve demonstrated an almost 10-fold bandwidth reduction in speech compression, compared to a standard 2.4 kbps LPC10 protocol used in the STU-III (Secure Terminal Unit, ...

Title of thesis: GROUND VEHICLE ACOUSTIC SIGNAL PROCESSING BASED ON BIOLOGICAL HEARING MODELS: Degree candidate: Li Liu Degree and year: Master of Science, 1999 Thesis directed by: Professor John S. Baras Institute of Systems Research This thesis presents a prototype vehicle acoustic signal classification system with low classification error and short processing delay. To analyze the spectrum o...