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FINITE RATE OF INNOVATION (FRI) TECHNIQUES FOR LOW POWER BODY AREA NETWORK

Publications associées (39)

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How to take advantage of aliasing in bandlimited signals

Martin Vetterli, Luciano Sbaiz, Patrick Vandewalle

In signal processing systems, aliasing is normally treated as a disturbing signal. That motivates the need for effective analog, optical and digital anti-aliasing filters. However, aliasing conveys also valuable information on the signal above the Nyquist ...

2004

Error-Rate Dependence of Non-Bandlimited Signals with Finite Rate of Innovation

Ivana Jovanovic

We consider the rate-distortion problem for non-bandlimited signals that have a finite rate of innovation, in particular, the class of continuous periodic stream of Diracs, characterized by a set of time positions and weights. Previous research has only co ...

2004

Sampling signals with finite rate of innovation

Martin Vetterli, Pina Marziliano, Thierry Blu

Consider classes of signals that have a finite number of degrees of freedom per unit of time and call this number the rate of innovation. Examples of signals with a finite rate of innovation include streams of Diracs (e.g., the Poisson process), nonuniform ...

Institute of Electrical and Electronics Engineers2002

Sampling signals with finite rate of innovation: the noisy case

Martin Vetterli, Andrea Ridolfi, Irena Maravic

Recently a sampling theorem for a certain class of signals with finite rate of innovation (which includes for example stream of Diracs) has been developed. In essence, such non band-limited signals can be sampled at or above the rate of innovation. In the ...

2002

A sampling theorem for periodic piecewise polynomial signals

Martin Vetterli, Pina Marziliano, Thierry Blu

We consider the problem of sampling signals which are not bandlimited, but still have a finite number of degrees of freedom per unit of time, such as, for example, piecewise polynomials. We demonstrate that by using an adequate sampling kernel and a sampli ...

2001

Consistent Signal Reconstruction and Convex Coding

Martin Vetterli

The ﬁeld of signal processing has known tremendous progress with the development of digital signal processing. The ﬁrst foundation of digital signal processing is due to Shannon's sampling theorem which shows that any bandlimited analog signal can... ...

Elsevier Science B. V.1995

Extension of finite length signals for sub-band coding

Martin Vetterli

Some problems associated with sub-band coding of images are investigated. The filtering operations needed for splitting an input into different frequency bands, as well as their reconstruction, require an extension beyond the length of the finite signal. I ...

1989

Filter banks allowing perfect reconstruction

Martin Vetterli

Splitting a signal into N filtered channels subsampled by N is an important problem in digital signal processing. A fundamental property of such a system is that the original signal can be perfectly recovered from the subsampled channels. It is shown that ...

1986

Multi-dimensional subband coding: some theory and algorithms

Martin Vetterli

A system is proposed in order to split a multi-dimensional signal into N sub-bands, which are then subsampled by N. Subsequent upsampling and filtering allows the recovery of the original signal. Main features are a good bandpass characteristic of the chan ...

1984