We propose a new neural network architecture, called Simple Recurrent Temporal-Difference Networks (SR-TDNs), that learns to predict future observations in partially observable en...
We describe an application of the Legendre transform to communication networks. The Legendre transform applied to max-plus algebra linear systems corresponds to the Fourier transf...
Takashi Hisakado, Kohshi Okumura, Vladimir Vukadin...
A simple method of improving OFDM (orthogonal frequency division multiplexing) receiver performance in an impulsive noise environment is to precede a conventional OFDM demodulator...
This paper presents a simple linear operator that accurately estimates the position and parameters of ellipse features. Based on the dual conic model, the operator avoids the inte...
— In this paper, the Nonlinear Least-Squares (NLS) estimator for frequency offset in flat-fading channels is systematically derived. A simple interpolation technique is introduc...
Pakorn Ubolkosold, Gustave Franck Tchere, Stefan K...