A Survey of Kalman Filter Algorithms and Variants in State Estimation | Chapter 1 | Current Approaches in Science and Technology Research Vol. 15

In the areas of modem control, communication applications, and signal processing, the Kalman filter is one of the most often used algorithms for estimating system states given unknown statistics. A correct and accurate state estimation of a linear or non-linear system can be improved by using the suitable estimate technique. To linearize the data, numerous mathematical techniques were used. The state estimation of a nonlinear system can be improved. Kalman filter methods offer linear, unbiased, and least variance estimates of unknown state vectors and are a common tool for nonlinear systems. In this study, we aimed to bridge the algorithmic and performance gap between the Kalman filter and its variants when applied to a non-linear system. When you only have When there is a lot of noisy observation data, the strategies discussed here have been proved to be more effective. This work can serve as a theoretical foundation for future research in a variety of areas, such as achieving high computing performance for high-dimensional state estimation.

Author (S) Details

Vishal Awasthi
Department of Electronics & Communication Engineering, University Institute of Engineering & Technology, CSJM University Kanpur, Uttar Pradesh, India.

Krishna Raj
Department of Electronics Engineering, HBTI, Kanpur, Uttar Pradesh, India.

View Book :- https://stm.bookpi.org/CASTR-V15/article/view/2963

Brain Tumor Image Segmentation Using Ant Colony Optimization Technique | Chapter 15 | Emerging Trends in Engineering Research and Technology Vol. 9

 

This chapter deals with Pre-Processing and Enhancement methods of Medical images. The proposed
method consists of four processing stages. In first stage, the MRI (Magnetic Resonance Imaging)
Brain Image is acquired from MRI Brain Image data set. In second stage, MRI Image is given to the
Pre-Processing stage, where the film artifacts (labels) are removed. In third stage, the high frequency
components are removed from MRI Image using various filtering techniques. This work investigates
the most effective optimization method, known as Ant Colony Optimization (ACO), introduced in the
field of Medical Image Processing.

Author(s) Details

Dr. M. Duraisamy
Thiruvalluvar University College of Arts and Science, Tirupattur – 635901, Tamil Nadu, India.

Dr. T. Logeswari
New Horizon College, Banglore, Karnataka, India.

View Book :- https://bp.bookpi.org/index.php/bpi/catalog/book/235