نتایج جستجو برای: error estimation
تعداد نتایج: 487582 فیلتر نتایج به سال:
Time-growing navigation error due to inevitable measurement errors in the MEMS-grade inertial sensor is one of the main challenges in low-cost inertial navigation systems (INSs). This paper aims to develop AHRS/GPS/DR integrated navigation algorithm for long-range autonomous underwater vehicle (AUV). Proper performance in deals with long-term GPS outage is the main advantage of the proposed low...
Estimation of unknowns in the presence of noise and uncertainty is an active area of study, because no method handles all cases well, or even satisfactorily. The basic problem considered is the linear system, Ax ≈ b, where A and b are given matrices with noise and uncertainty from measurements or modeling. The goal is to get the ”best” estimate of x. The problem is useful in a wide variety of s...
Introduction: The cost estimation of a hospital information system software refers to estimating the cost and time required to develop the hospital information system software prior to the start of the project, which will continue until the end of production and development of the system. Estimating the cost of software to produce hospital information system is one of the major concerns of proj...
Introduction: The cost estimation of a hospital information system software refers to estimating the cost and time required to develop the hospital information system software prior to the start of the project, which will continue until the end of production and development of the system. Estimating the cost of software to produce hospital information system is one of the major concerns of proj...
magnetic resonance imaging (mri) is a notable medical imaging technique that makes of phenomenon of nuclear magnetic resonance. because of the resolution and the technology being harmless, mri has considered as the most desirable imaging technique in clinical applications. the visual quality of mri plays an important role in accuracy of medical delineations that can be seriously degraded by exi...
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this paper presents a new multi-sensor data fusion method based on the combination of wavelettransform (wt) and extended kalman filter (ekf). input data are first filtered by a wavelettransform via daubechies wavelet “db4” functions and the filtered data are then fused based onvariance weights in terms of minimum mean square error. the fused data are finally treated byextended kalman filter for...
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