Journal ArticleDOI
A maximum entropy approach to interpolation
S. T. Fathima,B. Yegnanarayana +1 more
TLDR
This paper addresses the problem of recovery of the missing samples of a signal from a few of its randomly distributed samples and extends the maximum entropy method to handle additional information about the signal, if available.About:
This article is published in Signal Processing.The article was published on 1990-09-01. It has received 4 citations till now. The article focuses on the topics: Maximum entropy spectral estimation & Principle of maximum entropy.read more
Citations
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Journal ArticleDOI
Image analysis and computer vision: 1990
TL;DR: A bibliography of over 1600 references related to computer vision and image analysis, arranged by subject matter is presented, covering topics including architectures; computational techniques; feature detection, segmentation, and imageAnalysis.
Journal ArticleDOI
Comparison of methods for spectral estimation with interrupted data
TL;DR: Tests with contrived data records indicate that two algorithms are preferable, one when the gap length is less than 15% of the record, and the other for 20%-50% gaps.
Journal ArticleDOI
Entropy Based Approach to Data Loss Reparation Through the Indeterminate Fine-Grained Parallel Computation
TL;DR: Kirdin kinetic machine which is the ideal fine-grained structureless computer has been used to resolve the problem of the reconstruction of a gap in symbol sequence.
Proceedings ArticleDOI
A Codeword Classification Mapping Based CAVLC Decoding Implement Algorithm
Mafei Liu,Xuewen Zeng,Hong Ni +2 more
TL;DR: The property of H.264/AVC CAVLC(context-adaptive variable-length coding) and the characteristic of Huffman Coding are analyzed, and a high efficiency implement algorithm ofCAVLC decoding based on codeword classification mapping is proposed.
References
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Journal ArticleDOI
Restoring with Maximum Likelihood and Maximum Entropy
TL;DR: A communication-theory model for the process of image formation is used and it is found that the most likely object has a maximum entropy and is represented by a restoring formula that is positive and not band limited.
Journal ArticleDOI
On Nonuniform Sampling of Bandwidth-Limited Signals
TL;DR: In this paper, the authors examined four special non-uniform sampling processes in detail, and deduced some interesting properties of bandwidth-limited signals, including the allowable shapes, the prediction, and the energy of signals in general.
Journal ArticleDOI
Adaptive interpolation of discrete-time signals that can be modeled as autoregressive processes
TL;DR: An adaptive algorithm for the restoration of lost sample values in discrete-time signals that can locally be described by means of autoregressive processes is presented and the feasibility of implementation in hardware for real-time use is established.
Journal ArticleDOI
A new algorithm for two-dimensional maximum entropy power spectrum estimation
TL;DR: A new iterative algorithm for the maximum entropy power spectrum estimation is presented, which utilizes the computational efficiency of the fast Fourier transform (FFT) algorithm and has been empirically observed to solve the maximum Entropy Power spectrum estimation problem.