Neural networkGenetic algorithmMemory effectsThis paper presents a novel background calibration method for pipelined analog-to-digital converters (ADCs) using a time-delay neural network (TDNN), which is optimized through genetic algorithm (GA) techniques. The proposed technique leverages TDNN to create...
In this thesis, an ADC calibration algorithm based on Fully Connected Neural Network has been designed. Firstly, the basic principles and performance indicators of ADC are introduced, the structure and main nonlinearity errors of several ADCs are analyzed, and the basic principles of Artificial ...
The TIDA-010960 firmware specifically supports calculation of various metrology parameters for single-phase with Neural line energy measurement. These parameters can be viewed from the calibration GUI or through the ACT and REACT pulsed outputs, connected to a reference metrology test system. • ...
calibration technique for a redundancy flash ADCs is presented. The technique includes the generation of a network representation of a flash ADC and a corresponding linear programming problem that is solved via the simplex method [1]. This technique takes 2 advantage of design tradeoffs to im...
Laboratory reproduction of on-field low power quality conditions for the calibration/verification of electrical energy metersA. Cultrera; G. Germito; D. Serazio; F. Galliana; B. Trinchera; G. Aprile; M. Chirulli; L. Callegaro2022 On Data Compression Algorithms for Power Measurements in Distrib...
This paper presents a technique for background calibration of Pipeline ADCs with multi-bit stages, based on an adaptive approach. Different implementations... AJ Ginés,EJ Peralías,A Rueda - Symposium on Integrated Circuits & Systems Design 被引量: 17发表: 2003年 Recognition Using Specular Highli...
An Amplifier-Less Calibration-Free SAR ADC Achieving >100dB SNDR for Multi-Channel ECG Acquisition with 667 mVpp Linear Input Range. In Proceedings of the 2019 Symposium on VLSI Circuits, Kyoto, Japan, 9–14 June 2019; pp. C70–C71. [Google Scholar] Shu, Y.-S.; Kuo, L.-T.; Lo,...
Fig.9 Comparison of pile-up height between test result and model prediction with different parameter calibration methods(a) and distribution diagram of pile-up height predicted by simulation after calibration (b) Jeong K ...
In order to improve the accuracy of fall state discrimination, the angle between human torso, limbs and the ground, and the change of the height-to-width ratio of the human calibration frame, are used as fall discrimination features. Finally, an internet of things system based on cloud ...
Shi, Nanlin; Li, Xiang; Liu, Bingchuan; Yang, Chen; Wang, Yijun; Gao, Xiaorong Source: IEEE Transactions on Neural Systems and Rehabilitation Engineering, p 1-1, 2023; Abstract: Objective: The tradeoff between calibration effort and model performa...