Blind calibration by maximizing correlation

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August undefined, 2024

WebApr 27, 2024 · We provide a simple, remote, continuous calibration technique suitable for application in a hierarchical network featuring a few well-maintained, high-quality instruments ("proxies") and a larger number of low-cost devices. The ideas are grounded in a clear definition of the purpose of a low-cost ne … WebOct 24, 2024 · 1 INTRODUCTION. Blind calibration methods do not require a priori knowledge of the positions and powers of the sources in the observed field. Such methods are therefore robust to the presence of unknown sources, such as transient phenomena or (low-power) broad-band radio frequency interference (RFI) that escaped detection, and …

Blind Calibration of Networks of Sensors: Theory and Algorithms

WebAbstract: This paper proposes an all-digital blind calibration architecture for timing mismatch of a four-channel time-interleaved analog-to-digital converter (TIADC). By calculating the cross-correlation between the signal and its derivative, the linear combination of the timing mismatch can be estimated. WebNov 17, 2024 · Our in-flight angle calibration relies on nulling the EB cross correlation of the polarized signal in each channel. This calibration step has been carried out by two independent groups with a blind analysis, allowing an accuracy of the order of a few arc-minutes to be reached on the estimate of the angle offsets. franklin duckworth

A Review on Calibration Methods of Timing-Skew in Time …

WebSep 21, 2024 · This problem is called “blind calibration”. In this paper, we propose a novel deep learning method named Projection-Recovery Network (PRNet) to blindly … Websis (CCA) [8]. The objective of CCA is to maximize the correlation coefcient between the projections (linear com-binations) of two sets of variables. However, when look-ing for amplitude-amplitude correlation, CCA fails dramati-cally. We present Power-CCA, where the objective is to max-imize the correlation coefcient between the instantaneous WebMay 31, 2013 · Abstract: This paper presents a novel digital blind calibration method for time interleaved analog to digital converters (TIADCs). A simple cost function based on … franklin dynatech fund fund fact sheet

Blind Calibration by Maximizing Correlation Adjunct Proceedin…

Correlation-based reconfigurable blind calibration for …

Webextrinsic calibration parameters between the two sensors as-suming that the data is, for the most part, not corrupted by lighting artifacts. In fact, for many practical indoor/outdoor calibration scenes (e.g., Fig. 2) shadow effects represent a small fraction of the overall data and thus appear as noise in the calibration process. WebBlind equalization is a digital signal processing technique in which the transmitted signal is inferred from the received signal, while making use only of the transmitted signal … bleach benihime bankaiWebThe diﬀerence in our approach is that it leverages correlation in the col-lection of sensors without requiring a dense deployment, making it much more suitable for practical applications. We assume this correlation is de- ... The blind calibration problem entails the recovery of α and β from routine uncalibrated sensor readings such as y ... franklin dutchess new york

"WebImplementation. Based on the theory introduced in the previous section, the implementation of I/Q correction is conducted in two steps, namely the correction matrix calculation and the matrix multiplication. Specifically, in the first step, we use some software, such as MATLAB or Simulink, to calculate the parameters of the correction matrix. " - Blind calibration by maximizing correlation

Blind calibration by maximizing correlation

Solution to the Problem of Calibration of Low-Cost Air Quality

WebBlind Calibration by Maximizing Correlation. In Adjunct Proceedings of the 2024 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2024 ACM International Symposium on Wearable Computers. 637--642. Guodong Li, Zhiyuan Wu, Ning Liu, Xinyu Liu, Yue Wang, and Lin Zhang. 2024. WebThis paper considers the problem of blind symbol rate estimation of signals linearly modulated by a sequence of unknown symbols. Oversampling the received signal generates cyclostationary statistics that are exploited to devise symbol-rate estimators by maximizing in the cyclic domain a (possibly weighted) sum of modulus squares of cyclic correlation …

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WebAug 4, 2024 · The technique achieves blind estimation by exploiting the correlation difference between the signal component and the mismatch spurs. This method can … WebAug 4, 2024 · In this paper, a new all-digital background calibration technique is introduced. The technique achieves blind estimation by exploiting the correlation difference between the signal component and the mismatch spurs. This method can process wideband signals and can be implemented with low calibration overhead.

WebAug 4, 2024 · The method of using the Taylor series to expand the correlation function is studied in [23], where a two-level calibration structure is proposed to improve the … WebMay 31, 2013 · Abstract: This paper presents a novel digital blind calibration method for time interleaved analog to digital converters (TIADCs). A simple cost function based on the cross-correlation of channel statistics is used to derive a steepest descent algorithm for the compensation of timing mismatch errors.

WebJul 1, 2024 · The self-calibration algorithm is a powerful phase map reconstruction technique for phase-shifting interferometry with random phase shifts. The existing phase reconstruction algorithms has some restrictions on preconditions including the uniformity of background and the well distributed phase shifts. WebApr 26, 2024 · At present, the method for eliminating offset and gain mismatch is fairly straightforward; however, calibration for timing-skew is still in a state of exploration. A systematic overview of various calibration methods for timing-skew in time-interleaved ADCs (TI-ADCs) has been provided in this paper.

WebJan 7, 2024 · In this paper, we propose a blind calibration method for timing mismatches in TI-ADCs that uses adopt the correlation between sub-channels to estimate the temporal deviations. The least mean-square (LMS) algorithm is used to adaptively track the coefficient that indicates the strength of the mismatch.

Webblind WSN calibration is an under-researched ﬁeld, with one exception which only considers a network of static sensors [4]. It proved better than non-DL methods, thus leading to the hypothesis that a good DL model can be created for blind calibration. We leverage from previous work, extending DL models for scenarios with static and mobile ... frank lineberry obituaryWebBlind Calibration by Maximizing Correlation. In Afsaneh Doryab , Qin Lv , Michael Beigl , editors, UbiComp/ISWC '21: 2024 ACM International Joint Conference on Pervasive and … franklin dynatech fund positionWebnode is required to obtain to perform a calibration [19]. Since the recent popularity of low-cost sensor networks in the last decade, much work has been done to accomplish the task of online calibration [7], [8]. Blind calibration has recently gained traction as a viable calibration mechanism by leveraging redundant measurements in a densely ... franklin earl lynchWebNov 30, 2011 · We focus on {\em blind} calibration, using measures performed on a few unknown (but sparse) signals. A naive formulation of this blind calibration problem, using … bleach benihimeWebJan 7, 2024 · In this paper, we propose a blind calibration method for timing mismatches in TI-ADCs that uses adopt the correlation between sub-channels to estimate the temporal … bleach berenice gabrielliWebDeep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric Pengxin Zeng · Yunfan Li · Peng Hu · Dezhong Peng · Jiancheng Lv · Xi Peng On the Effects of Self-supervision and Contrastive Alignment in Deep Multi-view Clustering Daniel J. Trosten · Sigurd Løkse · Robert Jenssen · Michael Kampffmeyer franklin dynatech fund priceWebplaced in inaccessible locations. Macro calibration has thus been proposed to calibrate an entire sensor network based on observations from all sensors in the network [5], [6]. Furthermore, the calibration is done without ﬁrst observing the underlying signals that the sensors are observing. This is known as blind calibration [1], [7]. franklin easton books