Results 271 to 280 of about 605,028 (307)
Some of the next articles are maybe not open access.
Minimum variance multiplexing of multimedia objects
2008 IEEE International Conference on Acoustics, Speech and Signal Processing, 2008This paper addresses the problem of simultaneous transmission of multiple multimedia objects (such as images or video sequences) over a bandwidth-limited channel. The trivial strategy of partitioning in equal parts the available rate among the bitstreams is suboptimal, when the multimedia objects have different coding complexities.
VALENZISE, GIUSEPPE +2 more
openaire +2 more sources
An artificial neural minimum-variance estimator
IEEE International Conference on Neural Networks, 1988Results are presented of a study into one aspect of the application of artificial neural nets to the continuous working mode. For the proposed configuration, the authors give sufficient conditions for the existence and uniqueness of the steady-state solution.
Xiaofeng Zhao, Jerry M. Mendel
openaire +1 more source
Minimum-variance deconvolution for noncausal wavelets
IEEE Transactions on Geoscience and Remote Sensing, 1994Deconvolution is an important technique in data processing. At present, there have been a lot of publications on deconvolution problems. Most of them are only applicable to causal wavelets. In this paper the minimum-variance deconvolution for noncausal wavelets are studied.
Tie-Jun Yu +3 more
openaire +1 more source
Minimum-Variance Deconvolution
IEEE Transactions on Geoscience and Remote Sensing, 1981The purpose of this paper is to make the Mendel/Kormylo minimum-variance deconvolution (MVD) procedure, that is based on a state-space model of a signal distortion system and is derived from estimation theory, more accessible to users and potential users.
openaire +1 more source
A minimum-variance adaptive surface mesh
Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2002The main contribution of the paper is to describe a new class of the adaptive mesh. The mesh uses both split and merge operations to adapt itself to the structure of volumetric data-points. The adaptive behaviour is controlled by the variance of the data-point positions about maximum-likelihood quadric patches.
Richard C. Wilson 0001, Edwin R. Hancock
openaire +1 more source
Minimum variance stratification for scrambled response
Model Assisted Statistics and Applications, 2006In this paper we have considered the problem of finding optimum strata boundaries (OSB) when the samples from different strata are selected with simple random sampling with replacement (SRSWR) and data are collected by scrambled randomized response technique on the sensitive variable. In the present paper a procedure which is applicable in more general
Med Ram Verma +2 more
openaire +2 more sources
The Minimum-Variance Theory Revisited
2003In this paper, we show how the diffusion of the Nitric Oxide retrograde neuromessenger (NO) in the neural tissue produces Diffusive Hybrid Neuromodulation (DHN), as well as positively influencing the learning process in the artificial and biological neural networks. It also considers whether the DHN, together with the correlational character that helps
openaire +1 more source
Mean-Variance Versus Minimum-Variance Hedging
2009The hedging model introduced in this chapter is an extension of the expected utility approach in Chap. 2 The importing firm’s hedging problem here is almost identical to the one before. The only difference is that this model allows for basis risk. This is important with regard to the definition of backwardation applied.
openaire +1 more source
Minimum cover depth estimation for underwater shield tunnels
Tunnelling and Underground Space Technology, 2021Panpan Guo, Xiaonan Gong, Yixian Wang
exaly
A review on recent development of minimum quantity lubrication for sustainable machining
Journal of Cleaner Production, 2020C H Che Haron
exaly