In area efficient low error compensation multiplier design is using fixed width RPR (Reduced Precision Redundancy). We propose a new method called fixed width RPR for DSP applications. This fixed width multiplier is placed in ANT architecture to meet high speed, low power consumption and area efficiency. The fixed RPR is designed with compensation circuit for minimizing the occurrence of error....

This paper deals with the coding of the partition information resulting from the segmentation of video se quences Motion compensation of partition sequences is described as an e cient inter frame mode of coding It involves the prediction of the partition the computation of the partition compensation error the simpli cation of the error and its transmission The major issues and processing steps ...

This paper is a study of the application of Memetic computation integrating and coordinating intelligence algorithms to solve the problems of error compensation for a high-precision numeral control machining system. The primary focus is on development of integrated intelligent computation approach to set up an error compensation system of a numeral control machine tool based on a dynamic feedba...

This thesis is a study of the application of artificial neural networks to the problem of calculating error compensation values for axis positioning on a machine tool. The primary focus is on the development of a neural network-based system that could be implemented and integrated into the open architecture control system of an actual machine. A number of neural network architectures were exami...

Reversible watermarking that not only protects the copyright but also preserve the original quality of the digital content have been intensively studied. In particular, the demand for reversible watermarking has increased. In this paper, we propose a reversible watermarking scheme based on interpolation-error shifting and error pre-compensation. The intensity of a pixel is interpolated from the...

A modelling strategy for the prediction of both the scalar and the position-dependent thermal error components is presented. Two types of empirical modelling method based on the multiple regression analysis (MRA) and the artificial neural network (ANN) have been proposed for the reaLtime prediction of thermal errors with multiple temperature measurements. Both approaches have a systematic and c...