On the minimum description length principle for sources with piecewise constant parameters
نویسنده
چکیده
Universal lossless coding in the presence of finitely many abrupt changes in the statistics of the source, at unknown points, is investigated. The minimum description length (MDL) principle is derived for this setting. In particular, it is shown that for any uniquely decipherable code, for almost every combination of statistical parameter vectors governing each segment, and for almost every vector of transition instants, the minimum achievable redundancy is composed from 0.5 log n / n bits for each unknown segmental parameter and log n / n bits for each transition, where n is the length of the input string. This redundancy is shown to be attainable by a strongly sequential universal encoder, i.e., an encoder that does not utilize the knowledge of a prescribed value of n. Key Words-Minimum description length, universal coding, sequential coding, segmentation, edge detection.
منابع مشابه
Model Selection for the Competing-Risks Model With and Without Masking
The competing risks model is useful in settings in which individuals (or units) may die (or fail) due to a number of different causes. It can also be the case that for some of the items the failure cause is known only up to a subgroup of all causes in which case we say that the failure is group masked. A widely used approach for competing risks data with and without masking involves the specifi...
متن کاملScalable structural break detection
This paper deals with a statistical model fitting procedure for non-stationary time series. This procedure selects the parameters of a piecewise autoregressive model using the Minimum Description Length principle. The existing chromosome representation of the piecewise autoregressive model and its corresponding optimisation algorithm are improved. First, we show that our proposed chromosome rep...
متن کاملCoding theoretic approach to image segmentation
This paper introduces multi-scale tree-based approaches to image segmentation, using Rissanen’s coding theoretic minimum description length (MDL) principle to penalize overly complex segmentations. Images are modelled as Gaussian random fields of independent pixels, with piecewise constant mean and variance. This model captures variations in both intensity (mean value) and texture (variance). S...
متن کاملMDL Selection for Piecewise Planar Reconstruction
We present a three-step approach for the detection of 3D planes in image sequences of complex architectural scenes. In the first step 3D features (points or lines) are extracted from the images. A large number of potential planes are then fitted to the features in a second step. In the third step the relevant planes are selected with an algorithm based on the Minimum Description Length (MDL) pr...
متن کاملA Generalization of Mdl for Choosing Adaptation Mechanism and Design Parameters in Identification
The minimum description length (MDL) has for some decades been known to be an eecient tool for choosing model structure. We will in this contribution generalize MDL to adaptive algorithms in system and signal identiication. The parameter vector in these problems can either be considered as piecewise constant using seg-mentation and change detection algorithms or as time-varying estimated by rec...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- IEEE Trans. Information Theory
دوره 39 شماره
صفحات -
تاریخ انتشار 1993