This paper enables connectivity on everyday objects by transforming them into FM radio stations. To do this, we show for the first time that ambient FM radio signals can be used as a signal source for backscatter communication. Our design creates backscatter transmissions that can be decoded on any FM receiver including those in cars and smartphones. This enables us to achieve a previously infe...

Abstract In standard single-end-access Brillouin optical correlation-domain reflectometry (BOCDR), the systematic error caused by phase difference between amplitude modulation (AM) and frequency (FM) in light source can be up to tens of megahertz, causing considerable errors strain temperature measurement. this letter, we develop a new concept two-end-access BOCDR, which is injected into each e...

In this paper, a neural network based online analog modulation recognition of communication signals is presented. The proposed system can discriminate between amplitude modulation (AM), frequency modulation (FM), double sideband (DSB), upper sideband (USB), lower sideband (LSB) and continuous wave (CW) modulations. A matlab graphical user interface (GUI) is designed to see the intercepted signa...

A number of studies showed that infants reorganize their perception of speech sounds according to their native language categories during their first year of life. Still, information is lacking about the contribution of basic auditory mechanisms to this process. This study aimed to evaluate when native language experience starts to noticeably affect the perceptual processing of basic acoustic c...

This paper overviews basic principles and applications of the robust DFT (RDFT) approach, which is used for robust processing of frequency-modulated (FM) signals embedded in non-Gaussian heavy-tailed noise. In particular, we concentrate on the spectral analysis and filtering of signals corrupted by impulsive distortions using adaptive and nonadaptive robust estimators. Several adaptive estimato...

Audio-rate modulation of the parameters of physical models is investigated. For example, the resonance frequency of a simple resonator can be modulated smoothly at an audio rate to produce a brighter tone. As with traditional frequency modulation (FM) signal models, complex spectra can be produced through variation of the resonator’s frequency. It is possible to create such hybrid physical/sign...

The goal of this study was to predict neuronal responses based on STRF-estimates for different stimulus sets of primary auditory cortex neurons of Mongolian gerbils. Here we review results from STRF estimations after stimulation with frequency modulated (FM) tones, Dynamic Moving Ripples (DMR), as well as, prediction of responses to logatomes stemming from the Oldenburg Logatome Corpus (OLLO) d...

We compute AM-FM models for infrared video frames depicting military targets immersed in structured clutter backgrounds. We show that independent correlation based detection processes can be implemented in the pixel and modulation domains and used to construct useful online track consistency checks that indicate when the detection process has been degraded due to nonstationary evolution of the ...

Estimation of time-varying motion parameters of moving objects is considered. The motion parameters are mapped into the instantaneous frequency (IF) of a frequency modulated (FM) signal. The IF estimation is obtained using the Wigner distribution (WD). Generalization in the case of multiple objects and reduced interference distributions is given. A new propagation approach is proposed for joint...