scholarly journals Bubble-Proof Algorithm for Wave Union TDCs

Electronics ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 30
Author(s):  
Paweł Kwiatkowski ◽  
Dominik Sondej ◽  
Ryszard Szplet

Nowadays state-of-the-art time-to-digital converters (TDCs) are commonly implemented in field-programmable gate array (FPGA) devices using different variations of the wave union method. To take full advantage of this method many design challenges need to be overcome, one of which is an efficient data encoding. In this work, we describe in detail an effective algorithm to decode raw output data from a newly designed multisampling wave union TDC. The algorithm is able to correct bubble errors and detect any number of transitions, which occur in the wave union TDC output code. This allows us to reach a mean resolution as high as 0.39 ps and a single shot precision of 2.33 ps in the Xilinx Kintex-7 FPGA chip. The presented algorithm can be used for any kind of wave union TDCs and is intended for partial hardware implementation.

2018 ◽  
Vol 7 (4) ◽  
pp. 2569
Author(s):  
Priyanka Chauhan ◽  
Dippal Israni ◽  
Karan Jasani ◽  
Ashwin Makwana

Data acquisition is the most demanding application for the acquisition and monitoring of various sensor signals. The data received are processed in real-time environment. This paper proposes a novel Data Acquisition (DAQ) technique for better resource utilization with less power consumption. Present work has designed and compared advanced Quad Data Rate (QDR) technique with traditional Dual Data Rate (DDR) technique in terms of resource utilization and power consumption of Field Programmable Gate Array (FPGA) hardware. Xilinx ISE is used to verify results of FPGA resource utilization by QDR with state of the art DDR approach. The paper ratiocinates that QDR technique outperforms traditional DDR technique in terms of FPGA resource utilization.  


2016 ◽  
pp. 224-236 ◽  
Author(s):  
Yuriy Kondratenko ◽  
Oleksandr Gerasin ◽  
Andriy Topalov

This paper deals with a simulation model of slip displacement sensors for the object slip signals’ registration in the adaptive robot’s gripper. The study presents the analysis of different methods for slip displacement signals detection, as well as authors’ solutions. Special attention is paid to the investigations of the developed sensor with the resistive registration element in rod type structure of sensitive elements, which is able to operate in harsh and corrosive environments. A sensing system for the object slip signals’ registration in the adaptive robot’s gripper with a clamping force correction is developed for proposed slip displacement sensor with multi-component resistive registration elements. The hardware implementation of the sensing system for slip signals’ registration and obtained results are considered in details. The simulation model of the proposed slip displacement sensor based on polytypic conductive rubber is modeled by Proteus software. The intelligent approaches with the use of a field programmable gate array (FPGA) and VHDL-model to the sensing system designing allow to define the slippage direction in slip displacement sensor based on resistive registration elements. Thus, this expands the functionality of the developed sensor.


2011 ◽  
Vol 383-390 ◽  
pp. 6992-6997 ◽  
Author(s):  
Ai Xue Qi ◽  
Cheng Liang Zhang ◽  
Guang Yi Wang

This paper presents a method that utilizes a memristor to replace the non-linear resistance of typical Chua’s circuit for constructing a chaotic system. The improved circuit is numerically simulated in the MATLAB condition, and its hardware implementation is designed using field programmable gate array (FPGA). Comparing the experimental results with the numerical simulation, the two are the very same, and be able to generate chaotic attractor.


2022 ◽  
Vol 82 (1) ◽  
Author(s):  
G. Aad ◽  
B. Abbott ◽  
D. C. Abbott ◽  
A. Abed Abud ◽  
K. Abeling ◽  
...  

AbstractDuring LHC Run 2 (2015–2018) the ATLAS Level-1 topological trigger allowed efficient data-taking by the ATLAS experiment at luminosities up to 2.1$$\times $$ × 10$$^{34}$$ 34  cm$$^{-2}$$ - 2 s$$^{-1}$$ - 1 , which exceeds the design value by a factor of two. The system was installed in 2016 and operated in 2017 and 2018. It uses Field Programmable Gate Array processors to select interesting events by placing kinematic and angular requirements on electromagnetic clusters, jets, $$\tau $$ τ -leptons, muons and the missing transverse energy. It allowed to significantly improve the background event rejection and signal event acceptance, in particular for Higgs and B-physics processes.


2019 ◽  
Vol 11 (3) ◽  
Author(s):  
Juan Romero ◽  
Damien Verdier ◽  
Clement Raffaitin ◽  
Luis Miguel Procel ◽  
Lionel Trojman

We present in the following work a hardware implementation of the two principal optical flow methods. The work is based on the methods developed by Lucas & Kanade, and Horn & Schunck. The implementation is made by using a field programmable gate array and Hardware Description Language. To achieve a successful implementation, the algorithms were optimized. The results show the optical flow as a vector field over one frame, which enable an easy detection of the movement. The results are compared to a software implementation to insure the success of the method. The implementation is a fast implementation capable of quickly overcoming a traditional implementation in software.


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