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Spectral-sparse signals are those sparse in the Fourier domain and are very common in wireless communications, radar, sonar, medical imaging and other applications. Their recovery from noisy, limited ...
It is a great pleasure to extend to you a warm invitation to join The 1st International Conference on Signals and Systems 2017 (ICSigSys 2017), to be held 16-18 May 2017 at Grand Sanur Hotel, in Bali,...
In 2008, a radio receiver that works in very low frequency (VLF; 20-60 kHz) and LF (150-300 kHz) bands was developed by an Italian factory. The receiver can monitor 10 frequencies distributed in these...
This study investigates the application of empirical mode decomposition to signals from very low frequency transmitters in Europe that were received in Thessaloniki, Greece, to provide a method for de...
We demonstrate all optical NRZ-to-RZ conversion at a bit rate of 43 Gbps using an intersubband transition optical gate. The converted 2-ps RZ pulses were successfully applied to generate 172-Gbps OTDM...
In near future, there will be two more civilian GPS signals,at 1227.60 MHz and 1176.45 MHz, in addition to thepresent one at 1575.42 MHz. Of many possible benefits from the three civilian signal...
Satellite-based navigation requires precise knowledge of the structure of the transmitted signals.For GPS, accurate knowledge of the shape of the code correlation peaks is required to ensure no biases...
A Multiple Hypothesis Solution Separation (MHSS) RAIM algorithm was developed at Stanford in recent years, with the purpose of meeting the stringent integrity requirements imposed by the Federal Aviat...
In the near future, many more navigation satellites with dual frequency L1 and L5 will be deployed. The increased number of satellites and the possibility of mitigating the ionospheric delay using dua...
This paper considers the problem of detecting nonstationary phenomena, and chirps in particular, from very noisy data. Chirps are waveforms of the very general form A(t) exp(iλ ϕ(t)), where λ is ...
The unsupervised learning of spectro-temporal patterns within speech signals is of interest in a broad range of applications. Where patterns are non-negative and convolutive in nature, relevant learni...
We address a symbol decision problem with spectrally efficient energy detected multilevel pulse amplitude modulated (PAM) signals. First, we analytically quantify the relationship between a systematic...
A new method for analysis of electroencephalogram (EEG) signals using empirical mode decomposition (EMD) and Fourier-Bessel (FB) expansion has been presented in this paper. The EMD decomposes an EEG s...

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