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A New Adaptive LSSVR with Online Multikernel RBF Tuning to Evaluate Analog Circuit Performance
2013
Abstract and Applied Analysis
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Focusing on the analog circuit performance evaluation demand of fast time responding online, a novel evaluation strategy based on adaptive Least Squares Support Vector Regression (LSSVR) which employs ...
And then the decision parameters of the kernel parameters determine the input signal to map to the feature space deduced that a well plant model by discarding redundant features. ...
Acknowledgments This present work was supported partially by National Natural Science Foundation of China (Project no: 61304149) and Natural Science Foundation of Liaoning, China (Project no: 2013020044 ...
doi:10.1155/2013/231735
fatcat:lnv23ff2fvfinl2kgk2torzfva
Digital LMS adaptation of analog filters without gradient information
2003
IEEE transactions on circuits and systems - 2, Analog and digital signal processing
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Signed and subsampled variations of the adaptive algorithm can provide a further reduction in analog and digital circuit complexity, but with a slower convergence rate. ...
Hence, analog circuit complexity is reduced but digital circuit complexity is increased with no change in overall performance making it an attractive option for mixed-signal integrated systems in digital ...
The error signal and the input are then used to perform one iteration of the adaptive algorithm's parameter update equation in software. ...
doi:10.1109/tcsii.2003.815021
fatcat:cnmc7soq4ffk7nxerwix6jkwzm
Data-driven Feature Extraction for Analog Circuit Fault Diagnosis Using 1-D Convolutional Neural Network
2020
IEEE Access
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The performance of the proposed 1D-CNN model is evaluated through three benchmark circuits on the SIMULINK platform. Obtained results are compared with other intelligent fault diagnosis methods. ...
The experimental results show that the 1D-CNN can be utilized effectively as the feature exactor and faults classifier for analog circuits. ...
INTRODUCTION With high integration and wide application of analog circuits in modern electronic systems, the fault diagnosis of analog circuits has become a fundamental issue to perform reasonable maintenance ...
doi:10.1109/access.2020.2968744
fatcat:uv7iiwcw7nhqhgufksxf4sdkza
UiMOR - UC Riverside Model Order Reduction Tool for post-layout wideband interconnect modeling
2010
2010 10th IEEE International Conference on Solid-State and Integrated Circuit Technology
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It can perform accurate reduction for wideband frequency range with negligible loss of accuracy and is well suited for analog/mixed-signal/memory designs. ...
Very scalable and efficient for reducing interconnect circuits with millions of nodes. ...
UiMOR offers three algorithms to perform model reduction including the moment-matching (Krylov-subspace) method, sampling based method, and an adaptive sampling method. ...
doi:10.1109/icsict.2010.5667360
fatcat:7ckxwbgrr5gwnk67fdurs7ap5i
Analog Circuit Fault Diagnosis Based on Adaptive Gaussian Deep Belief Network
2018
MATEC Web of Conferences
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diagnosis of the analog circuit; Then, by analyzing the deficiency of deep belief network application, a Gaussian deep belief network based on adaptive learning rate is proposed. ...
The simulation results of circuit fault diagnosis show that the algorithm has faster convergence speed and higher fault diagnosis accuracy. ...
This paper attempts to use adaptive gaussian deep belief network(AGDBN), the main model of deep learning, to extract fault features of analog circuits, and demonstrates its effectiveness through experiments ...
doi:10.1051/matecconf/201817303090
fatcat:4f53nmmcu5ea7bjqow3p3eqiqi
A novel fault diagnosis method for second-order bandpass filter circuit based on TQWT-CNN
2024
PLoS ONE
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The improved TQWT can adaptively determine the parameters Q-factor and decomposition level. ...
To accurately locate faulty components in analog circuits, an analog circuit fault diagnosis method based on Tunable Q-factor Wavelet Transform(TQWT) and Convolutional Neural Network (CNN) is proposed ...
Adaptive selection of TQWT parameters suitable for the characterization of weak fault features of analog circuits and reconstruction of the subbands obtained from decomposition is essential for analog ...
doi:10.1371/journal.pone.0291660
pmid:38329950
pmcid:PMC10852320
fatcat:7n5lmr34vrchvloypmrqxr36t4
An In-Field Programmable Adaptive CMOS LNA for Intelligent IOT Sensor Node Applications
[article]
2019
arXiv
pre-print
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A statistical model that relates circuit-level reconfiguration parameters to circuit performances is generated by characterizing a limited number of samples. ...
This model is used to predict the performance parameters of the device in the field. ...
Using simulations, we will construct local statistical models
Due to process variations, the performance parameters of the that relate circuit-level calibration parameters to circuit
DUT are not fixed ...
arXiv:1904.12999v1
fatcat:rem5jsronfgifooionnuekrwaa
Adaptive filtering for noise reduction in the input circuits of protection relay systems
2010
IEEE PES General Meeting
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This paper describes an adaptive filtering to reduce noise in the analog input circuits of microprocessor-based protection relay (digital relay) systems. ...
This paper presents the concept of this method and illustrates this effectiveness using a number of examples and experimental results. ...
Atsushi Kasai and Mr. Sinji Iinuma, Toshiba Corporation, for their generous supports. ...
doi:10.1109/pes.2010.5588147
fatcat:ypvvv7houjeptpnfwtqiqg6dei
A new adaptive analog test and diagnosis system
2000
IEEE Transactions on Instrumentation and Measurement
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The diagnosis method consists on injecting probable faults in a mathematical model of the circuit, and later comparing its output with the output of the real faulty circuit. ...
The tester is able to detect faults in any linear circuit by learning a reference circuit behavior in a first step, and comparing this behavior against the output of the circuit under test in a second ...
A sampling frequency of 8 KHz per channel and a 48 taps Least Mean Square adaptive filter were used for this specific example. The C25 board samples the input and the output of the circuit. ...
doi:10.1109/19.843053
fatcat:e3ly67yp7faufjhyaiar2pquyy
Analog Circuit Fault Diagnosis Using a Novel Variant of aConvolutional Neural Network
2021
Algorithms
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Based on two well-known fault diagnosis circuits, comparison experiments are conducted, and experimental results show that our proposed method achieves higher performance. ...
Analog circuits play an important role in modern electronic systems. ...
[13] developed a method to extract features adaptively from the raw time series signals and automatically classifies the faults of analog circuit. ...
doi:10.3390/a15010017
fatcat:wpft7xzaefctlcd2gpnonpet6a
Adaptive Phase Lead Compensation for Model Uncertainties Problem of Autonomous Land Vehicles in Irregular Milieus
2022
Trends in Sciences
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In this research paper, digital and analog adaptive phase lead control schemes for model uncertainties problem are proposed to Autonomous Land Vehicles (ALV) in highly irregular environments. ...
To consider real soil changes and irregularities, 2 approaches are addressed: The 1st approach is a digital phase lead controller synthesized to keep closed loop performances in spite of analog system ...
Acknowledgements This work was supported by the Ministry of the Higher Education and Scientific Research in Tunisia. ...
doi:10.48048/tis.2022.4496
fatcat:lb74kypiyjetdhubwmoovdcwcm
A Wave-Digital Modeling Library for the Faust Programming Language
2021
Zenodo
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Recent advancements have made wave-digital models a popular method for simulating analog audio circuits. ...
In order to demonstrate the flexibility of the library, we also present implementations of several audio circuits, including the equalization section of the Pultec EQP-1a program equalizer. ...
Acknowledgments Thanks to Kurt Werner for assisting with wave-digital model figures and to Rob Owen, Julius O. Smith, Stéphane Letz, and Yann Oraley for aiding with the development of the library. ...
doi:10.5281/zenodo.5045087
fatcat:r4kg2gkw75dpxi3kzm7h6tdgtq
iVAMS: Intelligent metamodel-integrated Verilog-AMS for circuit-accurate system-level mixed-signal design exploration
2013
2013 IEEE 24th International Conference on Application-Specific Systems, Architectures and Processors
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Intelligent surrogate models for low-level analog building blocks are needed to bridge behavioral and transistorlevel simulations. ...
The gap between abstraction levels in analog design is a major obstacle for advancing analog and mixed-signal design automation. ...
The model outputŷ is one of the performance metrics or circuit parameters. ...
doi:10.1109/asap.2013.6567553
dblp:conf/asap/ZhengMKO13
fatcat:sx7tkcvlcve2fpxkbeluglixtm
Analog/Mixed-Signal Circuit Synthesis Enabled by the Advancements of Circuit Architectures and Machine Learning Algorithms
[article]
2021
arXiv
pre-print
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Specifically, we will focus on using neural-network-based surrogate models to expedite the circuit design parameter search and layout iterations. ...
Meanwhile, the design complexity and cost of AMS circuits has substantially increased due to the necessity of optimizing the circuit sizing, layout, and verification of a complex AMS circuit. ...
Gupta from the University of Southern California for technical discussions. ...
arXiv:2112.07824v1
fatcat:inecbdmuhjcwrkuqxkfzhrhguu
The implementation of an adaptive bandwidth all-digital phase-locked loop
2010
TENCON 2010 - 2010 IEEE Region 10 Conference
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A circuit architecture of the adaptive-bandwidth alldigital phase-locked lopp (ADB-ADPLL) is designed, where a second-order system with proportional and integral (PI) gains is used to model the ADB-ADPLL ...
Simulation results are presented to illustrate the ADB-ADPLL performance. ...
ADB-ADPLL MODELING In this section, the second-order ADB-ADPLL system based on its counterpart of an analog ADB-PLL is reviewed, and the key relations between the parameters of digital loop filters summarized ...
doi:10.1109/tencon.2010.5686383
fatcat:qhlygx5z4zcchf2ai5fl3hn5se
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