We address the problem of parameter estimation in presence
of both uncertainty and outlier noise. This is a common
occurrence in computer vision: feature localization
is perform...
Previous compressive sensing papers have considered the example of recovering an image with sparse gradient from a surprisingly small number of samples of its Fourier transform. T...
Abstract We present an efficient method for importance sampling the product of multiple functions. Our algorithm computes a quick approximation of the product on-the-fly, based on ...
This paper proposes a novel direct sampling mixer (DSM) using Switched Capacitor Filter (SCF) for multi-band receivers. The proposed DSM has a higher gain, more flexibility and low...
Hong Phuc Ninh, Takashi Moue, Takashi Kurashina, K...
: The standard continuous time state space model with stochastic disturbances the mathematical abstraction of continuous time white noise. To work with well defined, discrete time ...