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This brief presents a successive approximation register (SAR) analog-to-digital converter (ADC) that literally obviates the need for a reference supply. The reference (charge) of the digital-to-analog converter (DAC) is instead passively recovered from the residual input common-mode signal after each conversion. Such a fully passive DAC is proved to consume no switching energy in silicon, and the...
In this paper, we propose a multi-task object tracking algorithm, which is based on an incremental subspace learning method and is denoted as the Multi-Task Gaussian-Laplacian Regression Tracker (MGLRT). Firstly, we model the candidate targets as a mutli-task linear regression by PCA basis vectors. Secondly, considering the complexity of the real noise in a tracking system, we model the noise as an...
This paper presents a behavioral model of the direct sampling mixer (DSM) using MATLAB SIMULINK environment. The proposed model is integrated into a SIMULINK block with tunable parameters, which allows fast and convenient time domain simulations. Nonidealities, including transconductance nonlinearity, jitter effects and on-resistance thermal noise were addressed. Among these nonidealities, jitter...
The Lyapunov exponent and correlation dimension are often used to identify chaotic features of power load signals, but due to limitation of series length and noise interference, their application is limited. This article identifies chaotic features by the means of surrogate method. Based on a new null hypothesis : signal is periodical waveform with unrelated noise, and corresponding surrogate data...
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