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LOCAL HEIGHT CALCULATION ERRORS IN THE PLANET SURFACE RELIEF RETRIEVED FROM IMAGES BY THE IMPROVED PHOTOCLINOMETRY METHOD [PDF]
Subject and Purpose. In this work, the planet surface area relief is calculated using the Improved Photoclinometry Method (IPCM) and starting from a set of source images. Height deviations from the true relief altitudes are studied by computer simulation
I. A. Dulova, N. V. Bondarenko
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Selective Sampling and Optimal Filtering for Subpixel-Based Image Down-Sampling
Subpixel-based image down-sampling has been widely used to improve the apparent resolution of down-sampled images on display. However, previous subpixel rendering methods often introduce distortions, such as aliasing and color-fringing.
Sung-Ho Chae +4 more
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The paper is devoted to the optimal state filtering of the finite-state Markov jump processes, given indirect continuous-time observations corrupted by Wiener noise.
Andrey Borisov, Igor Sokolov
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In this paper a survey on recent applications of optimal signal processing techniques to improve the performance of mechanical sensors is made. Here, a comparison between classical filters and optimal filters for automotive sensors is made, and the ...
Wilmar Hernandez
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A Sliding Window Optimal Tracking Differentiator Filtering Method for Satellite Telemetry Data
The initial satellite telemetry data acquired by ground stations usually contain noise and outlier interference. In order to ensure the accurate analysis of satellite status, the telemetry data need to be filtered. In this paper, a sliding window optimal
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This paper proposes a recursive elimination method for optimal filtering problems of a class of discrete-time nonlinear systems with non-Gaussian noise. By this method, most of the computations to solve an optimal filtering problem can be carried out off-
Tomoyuki Iori, Toshiyuki Ohtsuka
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The common mode error (CME) and optimal noise model are the two most important factors affecting the accuracy of time series in regional Global Navigation Satellite System (GNSS) networks.
Wenhao Li +5 more
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The focus of this paper is on distributed consensus filtering in two-dimensional (2D) space for stochastic nonlinear parabolic systems with disturbances. Distributed filters are used in mobile sensor networks to achieve consensus estimate. By utilizing a
Xueming Qian, Baotong Cui
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Robust Quadratic Optimal Control for Discrete-Time Linear Systems with Non-Stochastic Noises
In this paper, the quadratic optimal control problem is investigated for the discrete-time linear systems with process and measurement noises which belong to specified ellipsoidal sets.
Jiaoru Huang +4 more
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Fingerprint Filters Are Optimal
23 pages, 2 figures, in FOCS ...
William Kuszmaul +2 more
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