نتایج جستجو برای: Target transform fitting
تعداد نتایج: 553754 فیلتر نتایج به سال:
target tracking is the tracking of an object in an image sequence. target tracking in image sequence consists of two different parts: 1- moving target detection 2- tracking of moving target. in some of the tracking algorithms these two parts are combined as a single algorithm. the main goal in this thesis is to provide a new framework for effective tracking of different kinds of moving target...
مطالعه اسپکتروفوتومتری برهمکنش رنگها با سورفکتانتها با استفاده از روش های آنالیز برازش و تفکیک منحنی
بررسی برهم کنش بین رنگ ها و سورفکتانتها یکی از مسائل مورد توجه در شیمی و رنگرزی بوده و مطالعه آن حائز اهمیت است. برهمکنش رنگ ها و سورفکتانتها باعث تغییرات طیفی جذبی می گردد و خصوصیات اسپکتروفتومتری جدیدی نشان می دهد. بنابراین روش اسپکتروفتومتری جذبی برای مطالعه این فرایندها و استخراج پارامترهای ترمودینامیکی نظیر ثابت تعادل، آنتالپی و آنتروپی بکار گرفته شده است. اما مشکل عمده در استفاده از داده ...
فرآیند خود تجمعی از جمله فرآیندهای مورد علاقه در شیمی بوده ومطالعه آن حائز اهمیت است. هر ماده با خود تجمعی و تشکیل ساختار دیمر و تریمر وتجمعات بالاتر می تواند خواص جدیدی به خود بگیرد وخصوصیات اسپکتروفتومتری جدیدی نشان دهد. فرآیند تجمع رنگ های آلی یکی از فرآیندهای خود تجمعی دارای اهمیت است. شواهد تجربی نشان داده اند که با افزایش غلظت، رنگ ها تجمع پیدا کرده و ساختارهای دیمر، تریمر و تجمعات بالاتر...
Surfactant-dye interactions are very important in chemical and dyeing processes. The dyes interact strongly with surfactant and show new spectrophotometric properties, so the UV-vis absorption spectrophotometric method has been used to study this process and extract some thermodynamic parameters. In this work, the association equilibrium between ionic dyes and ionic surfactant were studied by a...
We consider inference in a broad class of non-conjugate probabilistic models based on minimising the Kullback-Leibler divergence between the given target density and an approximating ‘variational’ density. In particular, for generalised linear models we describe approximating densities formed from an affine transformation of independently distributed latent variables, this class including many ...
In this paper, we design an attractivealgorithm aiming to classify moving targets includinghuman, animal, vehicle and drone, at groundsurveillance radar systems. The non-stationary reflectedsignal of the targets is represented with a novelmathematical framework based on behavior of thesignal components in reality. We further propose usingthe generalized linear chirp transform for the analysisst...
Environment measurement is an important issue for various applications including household robots. Pulse radars are promising candidates in a near future. Estimating target shapes using waveform data, which we obtain by scanning an omni-directional antenna, is known as one of ill-posed inverse problems. Parametric methods such as Model-fitting method have problems concerning calculation time an...
one of the most common signals used for achieving high range resolution in radar is stepped-frequency signals. when a target is stationary in these radars, dft (discrete fourier transform) based processing is used to attain high range resolution profile (hrrp). however, in the case of moving target, due to spreading of the echo signal spectrum, dft based processing is not optimal and decreases ...
in this paper, by considering a squint angle for synthetic aperture radar in the strip-map mode, a method is proposed for estimating parameters of a fixed acceleration moving target. non-zero doppler centroid and range-azimuth coupling in the squint mode add complexity to estimation equations of moving target parameters and cause doppler ambiguity. this, in turn, causes to lose the efficiency o...
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