A novel approach to high-speed high-resolution on-chip mass sensing

2014 ◽  
Vol 45 (12) ◽  
pp. 1648-1655 ◽  
Author(s):  
C. Kauth ◽  
M. Pastre ◽  
M. Kayal
2014 ◽  
Vol 14 (8) ◽  
pp. 2488-2489 ◽  
Author(s):  
Christian Kauth ◽  
Marc Pastre ◽  
Maher Kayal

2007 ◽  
Vol 16 (06) ◽  
pp. 895-909 ◽  
Author(s):  
SYED MANZOOR QASIM ◽  
SHUJA AHMAD ABBASI

This paper presents a novel approach for the generation of periodic waveforms in digital form using Field Programmable Gate Array (FPGA) and orthogonal functions. The orthogonal function consists of a set of Rademacher–Walsh Functions, and utilizing these functions, virtually any periodic waveform can be synthesized. Recent technological advancements in FPGA and availability of sophisticated digital design tools have made it possible to realize high-speed waveform generator in a cost-effective way. We demonstrate the proposed technique for the successful generation of Trapezoidal, Sinusoidal, Triangular waveforms, and a complex version of these waveforms. Simulation results for the various waveforms implemented in Xilinx Spartan-3 (XC3S200-4FT256) FPGA are presented both in analog and digital forms, and validated in MATLAB. The designed circuit can be easily integrated as a module for System-on-Chip (SoC) for on-chip waveform generation


2014 ◽  
Vol 513-517 ◽  
pp. 4551-4554
Author(s):  
Long Cheng Que ◽  
Lin Hai Wei ◽  
Jian Lv ◽  
Ya Dong Jiang

Due to the advantages of the uncooled infrared focal plane array (UIFPA), it is widely used in various fields. To achieve more vivid image, the dimensions of infrared focal plane array need to be enlarged. Hence the high speed analog to digital converter (ADC) integrated on-chip needs to obtain the digital infrared imaging signal. We propose a new single slope ADC with half-period counter and two ramp generators to realize the high resolution digitizing, which can operate at much lower speed. The operation speed of this proposed single slope ADC can be decreased to the 25% of the conventional structure while the static characteristics are still good.


2019 ◽  
Vol 29 (3) ◽  
pp. 503-515 ◽  
Author(s):  
Maciej Wielgosz ◽  
Andrzej Skoczeń

Abstract The aim of this paper is to present a model based on the recurrent neural network (RNN) architecture, the long short-term memory (LSTM) in particular, for modeling the work parameters of Large Hadron Collider (LHC) super-conducting magnets. High-resolution data available in the post mortem database were used to train a set of models and compare their performance for various hyper-parameters such as input data quantization and the number of cells. A novel approach to signal level quantization allowed reducing the size of the model, simplifying the tuning of the magnet monitoring system and making the process scalable. The paper shows that an RNN such as the LSTM or a gated recurrent unit (GRU) can be used for modeling high-resolution signals with the accuracy of over 0.95 and a small number of parameters, ranging from 800 to 1200. This makes the solution suitable for hardware implementation, which is essential in the case of monitoring the performance critical and high-speed signal of LHC superconducting magnets.


Author(s):  
Kenneth Krieg ◽  
Richard Qi ◽  
Douglas Thomson ◽  
Greg Bridges

Abstract A contact probing system for surface imaging and real-time signal measurement of deep sub-micron integrated circuits is discussed. The probe fits on a standard probe-station and utilizes a conductive atomic force microscope tip to rapidly measure the surface topography and acquire real-time highfrequency signals from features as small as 0.18 micron. The micromachined probe structure minimizes parasitic coupling and the probe achieves a bandwidth greater than 3 GHz, with a capacitive loading of less than 120 fF. High-resolution images of submicron structures and waveforms acquired from high-speed devices are presented.


Nanophotonics ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. 937-945
Author(s):  
Ruihuan Zhang ◽  
Yu He ◽  
Yong Zhang ◽  
Shaohua An ◽  
Qingming Zhu ◽  
...  

AbstractUltracompact and low-power-consumption optical switches are desired for high-performance telecommunication networks and data centers. Here, we demonstrate an on-chip power-efficient 2 × 2 thermo-optic switch unit by using a suspended photonic crystal nanobeam structure. A submilliwatt switching power of 0.15 mW is obtained with a tuning efficiency of 7.71 nm/mW in a compact footprint of 60 μm × 16 μm. The bandwidth of the switch is properly designed for a four-level pulse amplitude modulation signal with a 124 Gb/s raw data rate. To the best of our knowledge, the proposed switch is the most power-efficient resonator-based thermo-optic switch unit with the highest tuning efficiency and data ever reported.


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