Distributed estimation and quantization

نویسنده

  • John A. Gubner
چکیده

There are three important consequences from Theorem 6. Corollary 1: If Construction C is applied on the extended Hamming code of length 2”, we obtain an abnotmal (2”, 3)2 code. CoroZlary2: If Construction C is applied on the punctured Preparata code of length 2’”-1, we obtain an abnormal (2’”-1, 4)3 code. Corollary 3: If Construction C is applied on the Preparata code of length 22m, we obtain an abnormal (22m, 5)4 code.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Distributed Estimation over Unknown Fading Channels

In this paper, we consider the data detection problem involved in distributed estimation over unknown non-orthogonal fading channel. In general, when studying the distributed estimation problem, the impairments induced by communication channels are restricted to additive noise, quantization or packet loss. In addition, communication protocols are often of TDMA or FDMA type. Herein, by modulatin...

متن کامل

Robust distributed maximum likelihood estimation with dependent quantized data

In this paper, distributed maximum likelihood estimation (MLE) with quantized data is considered under the assumption that the structure of the joint probability density function (pdf) is known, but it contains unknown deterministic parameters. The parameters may include different vector parameters corresponding to marginal pdfs and parameters that describe dependence of observations across sen...

متن کامل

Session 4A Senisor Networks

oEE We study the problem of quantization for distributed parameter estimation in large scale sensor networks. Assuming a Maximum Likelihood estimator at the fusion center, we show that the Fisher Information is maximized by a scoreD 2 function quantizer. This provides a tight bound on best possible MSE for any unbiased estimator. Furthermore, we Y. show that for a general convex metric, the opt...

متن کامل

Distributed State Estimation for Hidden Markov Models with Dynamic Quantization and Rate Allocation

This paper considers state estimation of hidden Markov models by sensor networks. By employing feedback from the fusion center to the sensor nodes, a dynamic quantization scheme is proposed and analyzed by a stochastic control approach. Dynamic rate allocation is also considered. Copyright c ©2005 IFAC

متن کامل

A Comparison of H&E Staining and IHC Study in Quantization of Duodenal Intra-Epithelial Lymphocytes

Rajabiani A1, Aaliepour A2, Tavangar M3, Meysamie AP4 1. Assistant Professor, Department of Pathology, Faculty of medicine, Tehran University of Medical Sciences 2. Resident, Department of Pathology, Faculty of medicine, Tehran University of Medical Sciences 3. Associate Professor, Department of Pathology, Faculty of medicine, Tehran University of Medical Sciences 4. Assistant Professor, Depar...

متن کامل

ذخیره 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