The Experts below are selected from a list of 210 Experts worldwide ranked by ideXlab platform
Nima Maghari - One of the best experts on this subject based on the ideXlab platform.
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Passive Quantisation Error extraction in continuous-time delta–sigma modulators
Electronics Letters, 2016Co-Authors: Nima MaghariAbstract:A new method for Quantisation Error extraction in continuous-time delta–sigma modulators (CTDSMs) is proposed. The proposed method avoids the use of additional active components such as transconductors and opamps and uses only passive components. Instead, the virtual ground of the second stage integrator is used as a summing node and is utilised to extract the Quantisation Error. Thus, multi-stage CTDSM can be implemented in a power and area efficient way.
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passive Quantisation Error extraction in continuous time delta sigma modulators
Electronics Letters, 2016Co-Authors: Nima MaghariAbstract:A new method for Quantisation Error extraction in continuous-time delta–sigma modulators (CTDSMs) is proposed. The proposed method avoids the use of additional active components such as transconductors and opamps and uses only passive components. Instead, the virtual ground of the second stage integrator is used as a summing node and is utilised to extract the Quantisation Error. Thus, multi-stage CTDSM can be implemented in a power and area efficient way.
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Delay based noise cancelling sturdy MASH delta-sigma modulator
Electronics Letters, 2014Co-Authors: Nima MaghariAbstract:A delay-based noise cancelling sturdy multi-stage noise shaping (MASH) structure that cancels the first-stage Quantisation Error is presented. Thus, a smaller number of bits can be used for the first-stage quantiser without degrading the overall performance. In addition, the proposed structure improves stability with respect to maximum applicable input by removing the first-stage Quantisation Error from the first loop.
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Single-loop ΔΣ modulator with extended dynamic range
Electronics Letters, 2008Co-Authors: Nima Maghari, Gabor C. Temes, Un-ku MoonAbstract:A single-loop delta-sigma modulator with extended dynamic range is proposed. It employs an auxiliary quantiser to process the Quantisation Error of the main quantiser. This simple addition guarantees improved stability over a wider signal input range and also reduces the sensitivity to the front-end DAC nonlinearity. Simulation results are provided to verify the effectiveness of this structure.
Xia Zhao - One of the best experts on this subject based on the ideXlab platform.
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tracking control of dc micro grid based on the sampled h control with the Quantisation Error
Journal of Control and Decision, 2019Co-Authors: Zhenhua Li, Xia ZhaoAbstract:ABSTRACTThis paper investigates stability problem of DC micro-grid under disturbance. Tracking control based on the sampled H∞ controller is designed for solving such problem. First, it sets up the...
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Tracking control of DC micro-grid based on the sampled H∞ control with the Quantisation Error
Journal of Control and Decision, 2018Co-Authors: Zhenhua Li, Xia ZhaoAbstract:ABSTRACTThis paper investigates stability problem of DC micro-grid under disturbance. Tracking control based on the sampled H∞ controller is designed for solving such problem. First, it sets up the...
Raehong Park - One of the best experts on this subject based on the ideXlab platform.
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Comprehensive analysis and evaluation to unsupervised binary hashing method in image similarity measurement
Iet Image Processing, 2017Co-Authors: Raehong ParkAbstract:This study proposes an unsupervised binary hashing (UBH) method and provides a comprehensive analysis and evaluation to the UBH method in image similarity. Using the orthogonal locality preserving projection, the proposed UBH method performs the dimensionality reduction (DR). To reduce the Quantisation Error between low-dimensional vectors and binary hash codes generated in the DR, the proposed UBH method calculates the optimal parameters of rotation and offset. The authors use two test beds to evaluate the preservation of original feature space and the semantic consistency. Experimental results with two test beds show that the proposed UBH method is state of the art.
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unsupervised binary hashing method using locality preservation and Quantisation Error minimisation
Electronics Letters, 2015Co-Authors: Raehong ParkAbstract:An unsupervised binary hashing (UBH) method is proposed. To preserve the local and Euclidean metric structures in the reduced feature space, it performs the dimensionality reduction (DR) by using the orthogonal locality-preserving projection. In addition, it minimises the Error between the generated binary hash codes and low-dimensional feature vectors that are obtained in DR. To minimise the Quantisation Error, the binary hash codes are generated using the optimal rotation and offset. Experimental results show that the proposed UBH method has better performance than other existing methods in terms of the mean average precision and recall–precision curve.
N S Lu - One of the best experts on this subject based on the ideXlab platform.
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framework for reducing digital to analogue converter Quantisation Error in servo control systems
Iet Control Theory and Applications, 2008Co-Authors: N S LuAbstract:A framework for reducing the digital‐to‐analogue convertor (DAC) Quantisation effect in servo control systems is proposed. In the framework, two compensators are used to shape the spectrum of the DAC Quantisation noise. One compensator, which is an anti-windup-based compensator, not only filters out the high-frequency part of the Quantisation noise, but also provides stability and performance in the presence of control saturation. The other compensator, which is a Quantisation Error feedback compensator, provides effective reduction of the low-frequency noise and can account for the spectral distribution of DAC Quantisation noise by an optimal choice of some parameters. Theorems concerning the solvability and the stability are given. Systematic procedures to design the compensators for single-input-single-output (SISO) and multi-input-multi-output (MIMO) plants are also suggested. To validate the performance of the framework, servo control of an optical disc head is considered. Experiments indicate that the output Error caused by DAC Quantisation is significantly reduced.
Zhenhua Li - One of the best experts on this subject based on the ideXlab platform.
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tracking control of dc micro grid based on the sampled h control with the Quantisation Error
Journal of Control and Decision, 2019Co-Authors: Zhenhua Li, Xia ZhaoAbstract:ABSTRACTThis paper investigates stability problem of DC micro-grid under disturbance. Tracking control based on the sampled H∞ controller is designed for solving such problem. First, it sets up the...
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Tracking control of DC micro-grid based on the sampled H∞ control with the Quantisation Error
Journal of Control and Decision, 2018Co-Authors: Zhenhua Li, Xia ZhaoAbstract:ABSTRACTThis paper investigates stability problem of DC micro-grid under disturbance. Tracking control based on the sampled H∞ controller is designed for solving such problem. First, it sets up the...
