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Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: A Novel Pseudoerror Monitor | EURASIP Journal on Applied Signal Processing 2004 3 412-417 2004 Hindawi Publishing Corporation A Novel Pseudoerror Monitor Peng Wang Center for Signal Processing School of Electrical Electronic Engineering Nanyang Technological University Singapore 639798 Email ewangp@ntu.edu.sg Wee Ser Center for Signal Processing School of Electrical Electronic Engineering Nanyang Technological University Singapore 639798 Email ewser@ntu.edu.sg Received 10 April 2003 Revised 14 September 2003 Recommended for Publication by Tomohiko Taniguchi The error rate ER is a crucial criterion in evaluating the performance of a digital communication system. Many ER estimation methods have been described in the literature. Among them the pseudoerror monitoring solution has attracted special attention due to its consistent performance in different environments and distinctive blind estimation capability that is estimating the ER without needing any prior knowledge of the transmitted information. In this paper a novel pseudoerror monitor PEM design the kernel PEM is developed. Incorporating the strength of the probability density function pdf approximation technique the proposed design has remarkable advantage of being able to produce statistically consistent ER estimate within a much shorter observation time. Simulation results are given in support of this claim. Keywords and phrases error rate estimation pseudoerror monitor density function approximation. 1. INTRODUCTION One of the primary goals of a digital communication system is to provide users with reliable data transmission service. Being the most straightforward measure of the reliability of data transmission not surprisingly the error rate ER has been widely recognized as a crucial criterion in evaluating the performance of a digital communication system. Many ER estimation methods have been described in the literature for example the error counting solution 1 the parameter estimation solution 1 2 3 4 5 the probability density .
