Measurement Uncertainty Evaluation of Digital Modulation Quality Parameters: Magnitude Error and Phase Error
نویسندگان
چکیده
منابع مشابه
An application of Measurement error evaluation using latent class analysis
Latent class analysis (LCA) is a method of evaluating non sampling errors, especially measurement error in categorical data. Biemer (2011) introduced four latent class modeling approaches: probability model parameterization, log linear model, modified path model, and graphical model using path diagrams. These models are interchangeable. Latent class probability models express l...
متن کاملError, Uncertainty and Loss in Digital Evidence
Despite the potentially grave ramifications of relying on faulty information in the investigative or probabitive stages, the uncertainty in digital evidence is not being evaluated at present, thus making it difficult to assess the reliability of evidence stored on and transmitted using computer networks. As scientists, forensic examiners have a responsibility to reverse this trend and address f...
متن کاملThe Evaluation of Error Types and Turnaround Time of Preanalytical Phase in Biochemistry and Hematology Laboratories
Background& Objective: Each laboratory should determine the type of errors and turnaround time (TAT), especially in the preanalytical phase to report quality and timeliness of the test results. The current study aimed at investigating the common causes of preanalytical errors in biochemistry and hematology laboratories and evaluating the preanalytical ...
متن کاملMeasurement error models with uncertainty about the error variance 1 Running head : MEASUREMENT ERROR MODELS WITH UNCERTAINTY ABOUT THE ERROR VARIANCE
It is well known that measurement error in observable variables induces bias in estimates in standard regression analysis and that structural equation models (SEM) are a typical solution to this problem. Often, multiple indicator equations are subsumed as part of the SEM model – allowing for consistent estimation of the relevant regression parameters. In many instances, however, embedding the m...
متن کاملDigital Chart Cartography: Error and Quality Control
This paper puts forward a novel concept of tetrahedron model of chart cartography error analysis and quality control which is necessary for introducing user to the former triangle model of error analysis and quality control, i.e. Reality-Producer-Chart-User. For the human being, high quality does not necessarily represent high accuracy, but represent a concept that what is fit for use. Classica...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: MATEC Web of Conferences
سال: 2016
ISSN: 2261-236X
DOI: 10.1051/matecconf/20166104002