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Saturday, July 25, 2020 | History

2 edition of study of high resolution spectral estimators. found in the catalog.

study of high resolution spectral estimators.

Avedis Souren Arslanian

study of high resolution spectral estimators.

by Avedis Souren Arslanian

  • 88 Want to read
  • 19 Currently reading

Published by University of Strathclyde in [Glasgow] .
Written in English


Edition Notes

Thesis - M.Sc., University of Strathclyde, Dept of Electronic Science & Telecommunications.

ID Numbers
Open LibraryOL16546409M

The previously published version of the USGS spectral library (Clark et al., ) is the leading database used by the global scientific community to identify materials by their "spectral fingerprints." The library is fundamental for Mineral Resources Program projects to characterize mineral resources with imaging spectrometer data. A high-resolution target-tracking concept using spectral estimation techniques. based on reference standards. However, formatting rules can vary widely between applications and fields of interest or study. The specific requirements or preferences of your reviewing publisher, classroom teacher, institution or organization should be applied.

In this study we apply the band ratio transform method to two multi-spectral images acquired by the Quickbird satellite sensor. 2. THE CASE STUDIES We used two multi-spectral Quickbird images with a spatial resolution of m, having four bands, three in the visible (blue at nm, green at nm, red at nm) and.   [16] In this study, we presented a high‐spectral vector radiative transfer model that is capable to simulate DOLP with high spectral resolution. The comparison with limited but high‐quality DOLP observation demonstrated that the model can accurately simulate the atmospheric polarization caused by aerosols and gases.

[2] J. Capon, High-resolution frequency-wavenumber spectrum analysis,Proc. IEEE, vol. 57, pp. –, Aug. Google Scholar. The study focused on the application of high-resolution mass spectrometry for the identification of impurities in pharmaceutical small molecules. A high-performance liquid chromatography (HPLC) coupled high resolution mass spectrometer (HRMS) was used for identification of oxidative degradation impurities (DIs) of lansoprazole. The utilization of HRMS facilitates to determine the accurate mass.


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Study of high resolution spectral estimators by Avedis Souren Arslanian Download PDF EPUB FB2

The discrete Fourier transform (DFT) is often used as a spectral estimator for analysis of complex fractionated atrial electrograms (CFAE) acquired during atrial fibrillation (AF). However, time resolution can be unsatisfactory, as the frequency resolution is proportional to rate/time interval.

In this study we compared the DFT to a new Cited by:   In this study, a novel spectral estimator (NSE) with frequency resolution dependent upon rate/period 2 is compared to the DFT by measuring electrogram spectral properties.

We hypothesized that the NSE would provide improved time resolution while maintaining satisfactory frequency resolution for computation of CFAE spectral parameters.

Method Cited by: Along the paper sections, a study is performed about results obtained for thickness estimation, by adaptation of different temporal and spectral techniques (classical and also of high-resolution) to echo-waveforms acquired from a real thin wall phantom, constructed ad-hoc study of high resolution spectral estimators.

book layers of latex material. The objective is to evaluate the new Cited by:   This paper presents a comparative study of high-resolution methods for high-frequency radar current mapping. A z-domain transformation and auxiliary z-domain manipulation of the autoregressive method is proposed for this comparison.A Weibull distribution test is recommended to justify the Rayleigh distribution of the sea clutter for quality by: 2.

In this work we study the use of ℓ1-regularization methods for high-resolution spectral estimation. In this problem, the dictionary is typically coherent and existing theory for robust/exact. A few efforts were made to study and compare the properties of CE and SCE [5, 6, 7].

A comparative statistical study of the two MCE spectrum estimators is attempted in this paper through numerical examples. Performance is judged on the basis of such factors as peak location, minimum peak separationfor resolution, and high resolution probability.

The study also reveals that a methodology incorporating EV helps to produce a Fourier-equivalent spectrum with greater spectral resolution. Results suggest that the EV can be a suitable estimator in high temporal wind profiling using the profiler data collected at small and large tilt angles.

This book covers classical spectral estimation, Minimum Variance Distortionless Response (MVDR), Linear Prediction, and subspace methods (e.g. MUSIC and ESPIRIT). It provides examples of the resolution capabilities between these methods.

The are quite a number of good references in this book if you require additional detail. High resolution optical leaf signature and anatomical data were crossed. • Spectral data were used to estimate foliar pigments.

• Spectral signatures were used to discriminate species. • Coupling two sensors is a quick and accurate tool to obtain leaf spectral signatures. high resolution and accuracy, which are required in some cases [2]. These defects include leakage error, aliasing error, low resolution, and unsuitability for short data processing, rough spectral lines, violent fluctuation, and difficulty in fitting smooth curves [3].

In modern. This is the case, for instance, in the Byrnes-Georgiou-Lindquist THREE-like tunable, high-resolution spectral estimators. There, the output covariance Σ of a linear filter is needed to initialize. AbstractThis paper presents a comparative study of high-resolution methods for high-frequency radar current mapping.

A z-domain transformation and auxiliary z-domain manipulation of the autoregress. The spatial resolution refers to the area of smallest resolvable element (e.g. pixel); spectral resolution refers to the smallest wavelength which can be detected in the spectral measurement (Lillesand and Kiefer, ).

Technically these two types of resolution can be inter-related so that one can be improved at the expense of the others. The Welch estimator is typically employed, but it features a good spectral resolution only if the observation window (OW) (i.e. data processed for a single estimate) is composed of at least A high-resolution nonparametric spectral estimation algorithm—amplitude and phase estimation (APES)—is used to estimate the FWAS and the FWPhS, using the.

High Resolution Spectral Estimations. This method gives a better estimate whose frequency resolution is higher than the classical estimation theory. In the high resolution estimation method we use a variable wavenumber window which allows only certain wavenumbers and suppresses the others.

Abstract: This paper concerns the tracking of automotive radar targets by a radar using a high-resolution 2D spectral estimator in order to detect the radar targets. We show how to implement the tracking, discuss the measurement variances, and show how we can exploit the high resolution in order to make a better tracking filter.

In this study, we introduce a novel filtering approach to obtain cloud- and gap-free high spatial resolution (30 m) time series of reflectance data. The methodology was developed and validated for one large test site and nine smaller sites, comprising a wide range of environmental conditions using Landsat-5, −7 and −8 observations for a.

The reflectance spectra of minerals are studied as a function of spectral resolution in the range from to μm. Selected absorption bands were studied at resolving powers (λ/Δλ) as high as At resolving powers of approximatelymany OH‐bearing minerals show diagnostic sharp absorptions at the resolution limit.

Marple S.L. () Spectrum Analysis: Overview of Classical and High Resolution Spectral Estimation. In: Urban H.G. (eds) Adaptive Methods in Underwater Acoustics. NATO ASI Series (Series C: Mathematical and Physical Sciences), vol. The results demonstrate a clear improvement in biomass estimation using the texture parameters of a single sensor (r 2 = and rmse = ) compared to the best result obtained from simple spectral reflectance (r 2 = ) and simple spectral band ratios (r2 = ).

This study investigates spectral response function effects on 48 spectral indices for cultivated grasslands using simulated data of 10 very high spatial resolution sensors, convolved from field reflectance spectra of a grass covered dike (with varying vegetation condition).In this paper, a deep learning-aided temporal spectral channel network (TS-ChannelNet) for p-based channel estimation under high-speed vehicular scenarios is proposed to track variations of CFR.

In general, the pilot taken as low-resolution (LR) version of CR is utilized to recover high-resolution (HR) version of CR by TS-ChannelNet.