نتایج جستجو برای: linear least square algorithm estimates the signal parameters
تعداد نتایج: 16278557 فیلتر نتایج به سال:
The study aimed to enhance the accuracy of Root-MUSIC direction-ofarrival (DoA) estimates of a passive radio frequency identification (RFID) tag system with a reader that utilizes a two-element uniform linear array (ULA). The enhancement of accuracy was made by using an adaptive filter called least mean squares algorithm (LMS) to reduce the effect of noise and carrier leakage before extracting ...
Unknown constant parameters estimation problem for a nonlinear time-varying system with delayed measurements is considered. The objective of this work to design an adaptive observer system. must provide asymptotic convergence the unknown estimates their true values. main idea behind method perform parametrization initial dynamical based on GPEBO (Generalized Parameter Estimation Based Observer)...
Introduction: The acquisition of high-resolution T1 maps in a clinically feasible time frame has been demonstrated with Driven Equilibrium Single Pulse Observation of T1 (DESPOT1) [1-3]. DESPOT1 derives the longitudinal relaxation time, T1, from two or more spoiled gradient recalled echo (SPGR) images acquired with a constant TR and different flip angles [2, 3]. In general, T1 can be estimated ...
This paper presents a simulation study of a smart antenna (SA) system based on direction-of-arrival (DOA) estimation is based on the MUltiple SIgnal Classification (MUSIC) algorithm for finding the Position Location (PL) of the desired user. The beamformer steer the main beam towards the desired user and nullify all other interferer, through adaptive beamforming using Least Mean Square (LMS) al...
Online measurement of milling force is very important for machining process monitoring and control. In practice, it difficult to measure the directly during process. This paper develops a method identification called least square QR-factorization with fast stopping criterion (FSC-LSQR) method, queue buffer structure (QBS) employed online using acceleration signals. The convolution integral sign...
In this paper, a novel data–aided stochastic gradient algorithm for adjustment of the widely linear (WL) minimum mean–squared error (MMSE) filter for multiple access interference (MAI) suppression for direct–sequence code–division multiple access (DS–CDMA) is introduced and analyzed. We give analytical expressions for the steady–state signal–to–interference– plus–noise ratio (SINR) of the propo...
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 ...
nowadays in trade and economic issues, prediction is proposed as the most important branch of science. existence of effective variables, caused various sectors of the economic and business executives to prefer having mechanisms which can be used in their decisions. in recent years, several advances have led to various challenges in the science of forecasting. economical managers in various fi...
Localized or windowed data denoising based on linear transforms equipped with some thresholding operator is a usual approach in modern signal and image processing. With overlapping windows, techniques of this kind can be interpreted as overcomplete (redundant) data transforms (representations). In the simplest formulation, the Þnal estimates for points belonging to multiple overlapping windows ...
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