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Oversampled filter banks (OFBs) provide an overcomplete representation of their input signal. This paper describes how OFBs can be considered as error-correcting codes acting on real or complex sequences, very much like classical binary convolutional codes act on binary sequences. The structured redundancy introduced by OFBs in subband signals can be used(More)
This paper is about parameter estimation for models described by a continuous-time state equation from discrete-time measurements. Guaranteed solutions to this problem are proposed in probabilistic and bounded-error contexts, based on Müller's theorems and interval analysis. In a probabilistic context where parameter estimation boils down to parameter(More)
In this paper, a new still image coding scheme is presented. In contrast with standard tandem coding schemes, where the redundancy is introduced after source coding, it is introduced before source coding using real BCH codes. A joint channel model is first presented. The model corresponds to a memoryless mixture of Gaussian and Bernoulli-Gaussian noise. It(More)
This paper is about bounded-error state estimation for models described by a continuous-time state equation from discrete-time measurements. A guaranteed solution to this problem is proposed, based on Müller's theorems and interval analysis. This technique allows, at any time instant, the characterization of the set of all state vectors that are consistent(More)
In broadcast and multicast systems, Video programs are transmitted over a constant bit rate channel. Apart from bandwidth constraints, the control of each encoder involved in the statistical multiplexing has to satisfy several other constraints: minimum quality, fairness, and smoothness constraints. This paper proposes an improved control scheme for(More)
The control of the trade-off between encoding rate and quality of compressed video is a challenging task. This control requires efficient rate and distortion (R-D) models, able to describe accurately the behavior of the compressed video. R-D models should account for the dependencies induced by the choice of frame-varying quantization parameters (QP). This(More)