Multidimensional signal compression using multiscale recurrent patterns

TL;DR: The use of predictive coding schemes that modify the source's probability distribution, in order to favour the efficiency of MMP's dictionary adaptation, and new dictionary design methods, that allow for an effective compromise between the introduction of new dictionary elements and the reduction of codebook redundancy are proposed.

TL;DR: This paper uses the multidimensional multiscale parser (MMP) algorithm, a recently developed universal lossy compression method, to compress data from electrocardiogram (ECG) signals and shows simulation results were MMP performs as well as some of the best encoders in the literature, although at the expense of a high computational complexity.

TL;DR: The proposed post-processing deblocking technique was evaluated not only for still images, but also for video sequences, encoded using pattern matching and transform based compression methods, showing the versatility of the proposed technique.

TL;DR: This paper proposes a new encoder for scanned compound documents, based upon a recently introduced coding paradigm called multidimensional multiscale parser (MMP), and adaptive use of these two types of encoders resulted in performance gains over the original MMP algorithm.

TL;DR: The image coding results, calculated from actual file sizes and images reconstructed by the decoding algorithm, are either comparable to or surpass previous results obtained through much more sophisticated and computationally complex methods.

TL;DR: In this paper, a review of Discrete-Time Multi-Input Multi-Output (DIMO) and Linear Phase Perfect Reconstruction (QLP) QMF banks is presented.

TL;DR: An electromagnetic pulse counter having successively operable, contact-operating armatures that are movable to a rest position, an intermediate position and an active position between the main pole and the secondary pole of a magnetic circuit.