Phase-only multidimensional spatio-temporal analysis for moving sources
نویسندگان
چکیده
The estimation of source motion parameters takes a considerable importance for many areas. Especially for underwater acoustic applications where a large amount of da ta is available. This paper deals with the estimation of source motion parameters directly from the spatio-temporal data. A general frame for a separate estimation of the spatial frequencies and spatial freq-rate is presented, avoiding thus the dramatic interference problems. One basic idea consists in using basically the relative phase shifts without any consideration of source powers. The other consists in considering interpolation a s a basic tool for spatia-temporal analysis.
منابع مشابه
Spatio-Temporal Parameters' Changes in Gait of Male Elderly Subjects
Objectives: The purpose of this study was to compare spatio-temporal gait parameters between elderly and young male subjects. Methods & Materials: 57 able-bodied elderly (72±5.5 years) and 57 healthy young (25±8.5 years) subjects participated in this study. A four segment model consist of trunk, hip, shank, and foot with 10 reflective markers were used to define lower limbs. Kinematic data c...
متن کاملThe Objects Interaction Graticule for Cardinal Direction Querying in Moving Objects Data Warehouses
Cardinal directions have turned out to be very important qualitative spatial relations due to their numerous applications in spatial wayfinding, GIS, qualitative spatial reasoning and in domains such as cognitive sciences, AI and robotics. They are frequently used as selection criteria in spatial queries. Moving objects data warehouses can help to analyze complex multidimensional data of a spat...
متن کاملAssessment of spatio-temporal variations of surface water quality and prioritization of pollution Sources (case Study: Talar Watershed, Mazandaran province)
متن کامل
A Conceptual Spatio-temporal Multidimensional Model
Today, thanks to global positioning systems technologies and mobile devices equipped with tracking sensors, and a lot of data about moving objects can be collected, e.g., spatio-temporal data related to the movement followed by objects. On the other hand, data warehouses, usually modeled using a multidimensional view of data, are specialized databases to support the decision-making process. Unf...
متن کاملModeling of the Relationships Between Spatio-Temporal Changes of Traffic Volume and Particulate Matter-2.5 Pollutant Concentration Based on Geographically Weighted Regression (GWR) and Inverse Distance Weighting (IDW) Model: A Case Study in Tehran M
Background and Aim: High concentrations of particulate matter-25 (PM2.5) have been the cause of the unhealthiest days in Tehran, Iran in recent years. This study was conducted with the aim of the spatio-temporal analysis of traffic volume and its relationship with PM2.5 pollutant concentrations in Tehran metropolis, Tehran during 2015-2018, using the Geographic Information System (GIS). Materi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 1994