For most tracking applications the Kalman filter is reliable and efficient, but it is limited to a relatively restricted class of linear Gaussian problems. To solve problems beyond this restricted class, particle filters are proving to be dependable methods for stochastic dynamic estimation. Packed with 867 equations, this cutting-edge book introduces the latest advances in particle filter theory, discusses their relevance to defense surveillance systems, and examines defense-related applications of particle filters to nonlinear and non-Gaussian problems. With this hands-on guide, you can develop more accurate and reliable nonlinear filter designs and more precisely predict the performance of these designs. You can also apply particle filters to tracking a ballistic object, detection and tracking of stealthy targets, tracking through the blind Doppler zone, bi-static radar tracking, passive ranging (bearings-only tracking) of maneuvering targets, range-only tracking, terrain-aided tracking of ground vehicles, and group and extended object tracking.
For most tracking applications the Kalman filter is reliable and efficient, but it is limited to a relatively restricted class of linear Gaussian problems. To solve problems beyond this restricted class, particle filters are proving to be dependable methods for stochastic dynamic estimation. Packed with 867 equations, this cutting-edge book introduces the latest advances in particle filter theory, discusses their relevance to defense surveillance systems, and examines defense-related applications of particle filters to nonlinear and non-Gaussian problems. With this hands-on guide, you can develop more accurate and reliable nonlinear filter designs and more precisely predict the performance of these designs. You can also apply particle filters to tracking a ballistic object, detection and tracking of stealthy targets, tracking through the blind Doppler zone, bi-static radar tracking, passive ranging (bearings-only tracking) of maneuvering targets, range-only tracking, terrain-aided tracking of ground vehicles, and group and extended object tracking.
The sizeable increase in income inequality experienced in advanced economies and many parts of the world since the 1990s and the severe consequences of the global economic and financial crisis have brought distributional issues to the top of the policy agenda. The challenge for many governments is to address concerns over rising inequality while simultaneously promoting economic efficiency and more robust economic growth. The book delves into this discussion by analyzing fiscal policy and its link with inequality. Fiscal policy is the government’s most powerful tool for addressing inequality. It affects households ‘consumption directly (through taxes and transfers) and indirectly (via incentives for work and production and the provision of public goods and individual services such as education and health). An important message of the book is that growth and equity are not necessarily at odds; with the appropriate mix of policy instruments and careful policy design, countries can in many cases achieve better distributional outcomes and improve economic efficiency. Country studies (on the Netherlands, China, India, Republic of Congo, and Brazil) demonstrate the diversity of challenges across countries and their differing capacity to use fiscal policy for redistribution. The analysis presented in the book builds on and extends work done at the IMF, and also includes contributions from leading academics.
This note will describe recent trends in income inequality in both advanced and developing economies and how tax and expenditure policies have impacted on these trends. It will discuss how tax and expenditure policies should be designed to bring about a more equitable distribution of income, as well as to protect the most vulnerable populations during periods of fiscal consolidation.
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.