Topic
Parametric statistics
About: Parametric statistics is a research topic. Over the lifetime, 39200 publications have been published within this topic receiving 765761 citations.
Papers published on a yearly basis
Papers
More filters
Patent•
22 Apr 2003TL;DR: In this article, a psycho-acoustically motivated, parametric description of the spatial attributes of multichannel audio signals is proposed, which allows strong bitrate reductions in audio coders, since only one monaural signal has to be transmitted, combined with quantized spatial properties of the signal.
Abstract: In summary, this application describes a psycho-acoustically motivated, parametric description of the spatial attributes of multichannel audio signals. This parametric description allows strong bitrate reductions in audio coders, since only one monaural signal has to be transmitted, combined with (quantized) parameters which describe the spatial properties of the signal. The decoder can form the original amount of audio channels by applying the spatial parameters. For near-CD-quality stereo audio, a bitrate associated with these spatial parameters of 10 kbit/s or less seems sufficient to reproduce the correct spatial impression at the receiving end.
150 citations
TL;DR: An error model approach is introduced to establish algorithms and their global stability and convergence properties and a number of applications of this error model in adaptive estimation and control are included, in which the new algorithm is shown to result in global boundedness.
Abstract: Parametric uncertainties in adaptive estimation and control have been dealt with, by and large, in the context of linear parameterizations. Algorithms based on the gradient descent method either lead to instability or inaccurate performance when the unknown parameters occur nonlinearly. Complex dynamic models are bound to include nonlinear parameterizations which necessitate the need for new adaptation algorithms that behave in a stable and accurate manner. The authors introduce, in this paper, an error model approach to establish these algorithms and their global stability and convergence properties. A number of applications of this error model in adaptive estimation and control are included, in each of which the new algorithm is shown to result in global boundedness. Simulation results are presented which complement the authors' theoretical derivations.
150 citations
TL;DR: This paper proposes the design of fuzzy control systems with a reduced parametric sensitivity making use of Gravitational Search Algorithms (GSAs), and suggests a GSA with improved search accuracy.
150 citations
TL;DR: An overview of the literature on Phase I parametric control charts for univariate variables data is presented and the joint distribution of the charting statistics is used to control the false alarm probability while designing the charts.
Abstract: An overview is given of the literature on Phase I parametric control charts for univariate variables data. When designing the charts, the joint distribution of the charting statistics is used to control the false alarm probability. An example is given a..
150 citations
TL;DR: Reliability was shown to improve with the transformation, where the improvement was comparable to that using Box-Cox, and agreement with the Gaussian was better than using logarithmic, logit, or Box- Cox transformations.
150 citations