Bandwidth optimization and side-lobe levels reduction in PC radar using Legendre orthogonal polynomials

Thakur, Ankur; Saini, Davinder S.

doi:10.1016/j.dsp.2020.102705

Cited by 13 publications

(3 citation statements)

References 31 publications

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“…The squamous cell carcinoma, small cell carcinoma, and undifferentiated types are included in tumor types [ 13 – 15 ]. There is variation of tumor grades from well-differentiated to undifferentiated.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Angiogenesis and Pathological Classification of Extrahepatic Cholangiocarcinoma by Dynamic MR Imaging for E-Healthcare

Tan

Sun

Wang

et al. 2021

Journal of Healthcare Engineering

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For staging cholangiocarcinoma and determining respectability, MR is an accurate noninvasive method which provides size of tumor and vascular patency information. Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is a noninvasive inspection method for evaluating the vascular structure and functional characteristics of tumor tissue. However, some limitations should be noted about the technology. At present, the technology cannot be used alone, which is just an assisted method during the conventional MRI examination. 50 ECC patients, admitted to Indira Gandhi Medical College and Hospital between 2016 and 2019, were selected as research subjects. They were classified pathologically according to the Steiner classification system. After image processing, regions of interest (ROIs) were selected from the image to measure the rate constant (Kep), extravascular space volume fraction (Ve), and tissue volume transfer constant (Ktrans). There were 15 cases with highly differentiated carcinoma, 23 cases with moderately differentiated carcinoma, and 12 cases with lowly differentiated carcinoma. Non-VEGF expression was noted in 21 cases, with low expression noted in 15 cases, moderate expression noted in 14 cases, and no high expression case noted. The relevant parameters in the dynamic MRI image can quantitatively reflect the angiogenesis and pathological classification of ECC, which is suggested in the clinical treatment of ECC. The Ktrans, Kep, and Ve values of the ECC patients were all not associated with the pathological classification, with no significant difference ( P < 0.05 ). Besides, due to the fact that the patient cannot completely hold his breath, the air leak reduces the image quality.

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Section: Introductionmentioning

confidence: 99%

Evaluation of Angiogenesis and Pathological Classification of Extrahepatic Cholangiocarcinoma by Dynamic MR Imaging for E-Healthcare

Tan

Sun

Wang

et al. 2021

Journal of Healthcare Engineering

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“…Authors in [5] methods for matching and adapting depictions to chirps. A natural representation space for chirps is the time-frequency plane and many queries connected to chirps here it is addressed from time-frequency angle.…”

Section: Literature Reviewmentioning

confidence: 99%

Digital Pulse Compression: Linear Frequency Modulation Approach

Gowda

Siddesh

Anu³

et al. 2023

Preprint

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In radar system a challenging task is to achieve a good range resolution with a shorter pulse which needs more peak power. High peak power makes the design of transceivers complex because the devices used to build transceivers are able to withstand with high peak power. In literature pulse compression method is widely used to minimize the problem of using high peak power signal. In this paper, the problem of generating a high peak power signal with shorter duration, which is used to detect only moving targets has been addressed by proposing a novel radar pulse compression method using Linear Frequency Modulation with improved range resolution with a basic construction of a pulse processor which is analogous to a standard matched filter, and is reformed to suit an application. Multiple code types and lengths needed are used due to the flexibility in the design which reduce an uncertainties affected by the use of high pulse repetition frequencies.

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“…Faradonbeh et al [14], are based on agent prediction technology, proposed a brand-new use of multi-agent system to predict stocks. Thakur and Saini [15], described transmitting waveform for the optimization of bandwidth on the basis of Legendre orthogonal polynomial. The authors have achieved better results in terms of side-lobe reduction.…”

Section: Literature Reviewmentioning

confidence: 99%

Prediction of operation vibration state of coal mine mechatronics equipment based on data mining

Jia¹,

Deb²,

Sajja³

2022

J. vibroeng.

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In order to explore the prediction of the operation vibration state of coal mine mechatronics equipment, the author proposes a method based on data mining in response to the problems of large amount of data in the operating state of coal mine electromechanical equipment, low data utilization, and slow speed of single-machine massive data mining, using Map Reduce technology, a dual Map Reduce mining prediction framework is proposed, establish a data mining prediction model for the running state of dual Map Reduce, using MapReduce1 to extract features of monitoring data, use MapReduce2 to predict and analyze feature data. Finally, by building the Hadoop platform, reveal the relationship between Hadoop cluster nodes and parallel processing speed, the efficiency of the data mining prediction framework is verified: Perform an experimental comparative analysis of the single prediction model and the proposed AGB combined prediction model, the prediction accuracy of the AGB combined prediction model is verified.

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Bandwidth optimization and side-lobe levels reduction in PC radar using Legendre orthogonal polynomials

Cited by 13 publications

References 31 publications

Evaluation of Angiogenesis and Pathological Classification of Extrahepatic Cholangiocarcinoma by Dynamic MR Imaging for E-Healthcare

Evaluation of Angiogenesis and Pathological Classification of Extrahepatic Cholangiocarcinoma by Dynamic MR Imaging for E-Healthcare

Digital Pulse Compression: Linear Frequency Modulation Approach

Prediction of operation vibration state of coal mine mechatronics equipment based on data mining

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