Error detection and unit conversion

Evaluation of Error Detection Strategies for an FPGA-Based Self-Checking Arithmetic and Logic Unit

On The Design of A Dynamically Reconfigurable Function-Unit for Error Detection and Correction

This paper presents the design of a function-specific dynamically reconfigurable architecture for error detection and error correction. The function-unit is integrated in a pipelined 32 bit RISC processor and provides full hardware support for encoding and decoding of ReedSolomon Codes with different code lengths as well as error detection methods like bit-parallel Cyclic Redundancy Check codes...

Dynamic Error Measure for Curve Scan - Conversion

A bstractThis paper reports some pioneering results on a new research topic in computer graphics: the mea· surement of raster image quality in terms of reproduction of curve spatial coherence when it has been generated by scan-conversion . A dynamic error for curve scan · conversion is defined to measure the distortion of curve spatial coherence (the dynamic context , smoothness and continuity ...

Fault-tolerant quantum error correction code conversion

In this paper we demonstrate how data encoded in a five-qubit quantum error correction code can be converted, fault-tolerantly, into a seven-qubit Steane code. This is achieved by progressing through a series of codes, each of which fault-tolerantly corrects at least one error. Throughout the conversion the encoded qubit remains protected. We found, through computational search, that the method...

Detection of Outliers and Influential Observations in Linear Ridge Measurement Error Models with Stochastic Linear Restrictions

The aim of this paper is to propose some diagnostic methods in linear ridge measurement error models with stochastic linear restrictions using the corrected likelihood. Based on the bias-corrected estimation of model parameters, diagnostic measures are developed to identify outlying and influential observations. In addition, we derive the corrected score test statistic for outliers detection ba...