chao, li xishun, li yuanwei, wu yang, xuhai qiao, haihua yang, haiyan
The Length of Day (LOD) and the Universal Time (UT1) play crucial roles in satellite positioning, deep space exploration, and related fields. The primary method for predicting LOD and UT1 is least squares fitting combined with autoregressive (AR) models. Polynomial Curve Fitting (PCF) has greater accuracy in capturing long-term trends compared to s...
Wang, Yong Liu, Lijun Dou, Tong Li, Li Cheng, Shuming
Published in
Quantum Science and Technology
Quantum state tomography is a cornerstone of quantum information technologies to characterize and benchmark quantum systems from measurement statistics. In this work, we present an infidelity-based least-squares estimator, which incorporates the state purity information and provides orders of magnitude higher tomography accuracy than previous ones....
W. Bitar, Ahmad
The Least squares is the traditional regression technique for pricing European options in an incomplete markets. However, the least squares is quite sensitive to even a single outlier in the data, and thus, the predicted option price may potentially deviate from the true unknown one. To handle the problem of outliers, this paper aims to develop two...
zhang, zhiyu yufeng, hu gong, jingzhang luo, zhihui liu, xi
Sea level monitoring is of great significance to the life safety and daily production activities of coastal residents. In recent years, GNSS interferometric reflectometry (GNSS-IR) has gradually developed into a powerful complementary technique for sea level monitoring, with the advantages of wide signal spatial coverage and lower maintenance cost....
hassan, sabna thenginthody chen, peng rong, yue chan, kit yan
In this article, a deep neural network (DNN)-based underwater acoustic (UA) communication receiver is proposed. Conventional orthogonal frequency-division multiplexing (OFDM) receivers perform channel estimation using linear interpolation. However, due to the significant delay spread in multipath UA channels, the frequency response often exhibits s...
sun, ke jiwei, xu
Accurate and efficient channel estimation (CE) is critical in the context of autonomous driving. This paper addresses the issue of orthogonal frequency-division multiplexing (OFDM) channel estimation in 5G communication systems by proposing a channel estimation model based on the Parrot Optimizer (PO). The model optimizes for the minimum bit error ...
baojie, li sun, guiling zhang, haicheng dong, liang kong, yunlong
Due to the inherent temperature drift and lack of static stability in traditional pressure sensors, which make it difficult for them to meet the increasing demands of various industries, this paper designs a new system. The proposed system integrates temperature measurement and regulation circuits, signal processing, and communication circuits to a...
cuc, adriana-maria morgoș, florin lucian grava, adriana-marcela grava, cristian
In this paper, new schemes have been proposed for the estimation of the additive white Gaussian noise (AWGN) channel with intersymbol interference (ISI) in an iterative equalization and decoding system using low-density parity check (LDPC) codes. This article explores the use of the least squares algorithm in various scenarios. For example, the imp...
zeng, changwen wei, rongke mingjian, gu zhang, nejie dai, zuoxiao
Infrared binocular cameras, leveraging their distinct thermal imaging capabilities, are well-suited for visual measurement and 3D reconstruction in challenging environments. The precision of camera calibration is essential for leveraging the full potential of these infrared cameras. To overcome the limitations of traditional calibration techniques,...
wang, qi wang, yingmin zhu, guolei
Underwater wireless acoustic positioning technology uses the geometric relationship between a target and a receiving array to determine the target’s position by measuring distances between the target and the array elements, that the receiving array is usually symmetry in space. It is an indirect measurement approach, so ranging errors can significa...