搜索结果: 1-15 共查到“工学 Noisy”相关记录20条 . 查询时间(0.14 秒)
TSUNAMI LEAD WAVE RECONSTRUCTION BASED ON NOISY SEA SURFACE HEIGHT MEASUREMENTS
Tsunami lead wave reconstruction Wavelet theory Sea surface height measurement GNSS reflectometry
2016/7/5
This paper presents a Tsunami lead wave reconstruction method using noisy sea surface height (SSH) measurements such as observed by a satellite-carried GNSS reflectometry (GNSS-R) sensor. It is propos...
A GENERIC PROBABILISTIC MODEL AND A HIERARCHICAL SOLUTION FOR SENSOR LOCALIZATION IN NOISY AND RESTRICTED CONDITIONS
Generic Probabilistic Localization Model Bundle Adjustment Kalman Filtering Particle Filtering
2016/7/4
A generic probabilistic model, under fundamental Bayes’ rule and Markov assumption, is introduced to integrate the process of mobile platform localization with optical sensors. And based on it, three ...
Localization from Incomplete Noisy Distance Measurements
Measurement subset sensor network localization proteins nuclear magnetic resonance spectroscopy molecular conformation
2015/8/21
We consider the problem of positioning a cloud of points in the Euclidean space R d , from noisy measurements of a subset of pairwise distances. This task has applications in various areas, such as se...
Optimized Noisy Network Coding for Gaussian Relay Networks
Optimized Noisy Network Gaussian Relay Networks
2015/8/17
In this paper, we provide an improved lower bound on the rate achieved by noisy network coding in arbitrary Gaussian relay networks, whose gap to the cutset upper bound depends on the network not only...
Noisy network coding naturally combines two parallel lines of work on network information flow — network coding over noiseless networks by Ahlswede, Cai, Li, and Yeung, and compress–forward codi...
Noisy network coding unifies network coding by Ahlswede, Cai, Li, and Yeung for noiseless networks and compress–forward by Cover and El Gamal for noisy relay channels.
Noisy Network Coding
Noisy Network
2015/8/17
A noisy network coding scheme for sending multiple sources over a general noisy network is presented. For multi-source multicast networks, the scheme naturally extends both network coding over noisele...
Low rate distributed quantization of noisy observations
Quantitative distributed network nodes a random variable
2015/8/13
We consider the achievable performance of a network of nodes in which the nodes view a common random variable corrupted by a site specific noise and share low rate information about their observations...
Noisy Network Coding
Compress-forward discrete memoryless network Gaussian network interference relay channel network coding noisy network coding relaying two-way relay channel
2015/8/12
A noisy network coding scheme for communicating messages between multiple sources and destinations over a general noisy network is presented. For multi-message multicast networks, the scheme naturally...
Linear models based on noisy data and the Frisch scheme
linear models factor analysis identification
2015/8/7
We address the problem of identifying linear relations among variables based on noisy measurements. This is a central question in the search for structure in large data sets. Often a key assumption is...
ANOMALY DETECTION IN NOISY MULTI AND HYPER SPECTRAL IMAGES OF URBAN ENVIRONMENTS
Urban Remote-sensing Anomaly detection speckle noise spectral data morphological operation
2015/8/3
The recent surge in remotely sensed imagery with multi to hyper spectral cubes has made it very difficult to detect features because of the sheer volume of data. In a sense it is locating the needle i...
Robust Location Tag Generation from Noisy Location Data for Security Applications
Robust Location Tag Generation Noisy Location Data Security Applications
2015/6/25
Location-based security service provides authorization of persons or facilities based on their distinctive location information. It applies the field of position navigation and time (PNT) to the provi...
Curvelets and Reconstruction of Images from Noisy Radon Data
Ill-Posed Inverse Problems Regularization Singular Value Decomposition Radon Transform Deconvolution Edge Edge-Preserving Regularization Wavelet-Vaguelette-Decomposition
2015/6/17
The problem of recovering an input signal from noisy and linearly distorted data arises in many different areas of scientific investigation; e.g., noisy Radon inversion (tomography) is a problem of sp...
Super-Resolution from Noisy Data
Deconvolution stable signal recovery sparsity line spectra estimation basis mismatch superresolution factor
2015/6/17
This paper studies the recovery of a superposition of point sources from noisy bandlimited data. In the fewest possible words, we only have information about the spectrum of an object in the lowfreque...
AN ADAPTIVE POLYGONAL CENTROIDAL VORONOI TESSELLATION ALGORITHM FOR SEGMENTATION OF NOISY SAR IMAGES
SAR Centroidal Voronoi Tessellation Segmentation Clustering Gamma Distribution
2014/12/1
In this research, a fast, adaptive and user friendly segmentation methodology is developed for highly speckled SAR images. The developed region based centroidal Voronoi tessellation (R-BCVT) algorithm...