De-noising Spacecraft Attitude and Rate Data using DWT

De-noising the ECG Signal Using DWT and Kernel Adaptive Filter

The use of electrocardiogram (ECG) plays significant role in the diagnosis of heart disease and human computer interface etc. But, the ECG signals get affected from different types of noise during data acquisition due to which it faces the problem to detect actual abnormality. De-noising of the ECG signal is so indispensable and for de-noising it various researcher work in this area. In this wo...

Turner and Hall Adaptive Spacecraft Attitude Control ADAPTIVE SPACECRAFT ATTITUDE CONTROL USING NEURAL NETWORKS

Neural networks offer a unique approach to controlling a dynamically changing system. By updating synaptic weights of an interconnected, algebraic framework, desired system objectives can be reached despite an unknown operating environment. This research implements a neural network for controlling the attitude of a satellite with unknown system disturbances. The training and updating of the con...

Wavelet Transform in De-noising Geophysical Data

Shallow depth geophysical data from archaeological sites contain various levels and types of noise that hinters the valuable information of the subsurface architectural relics. Wavelet transform techniques were tested as a method for decomposition of the original geophysical data in order to eliminate the noise levels inherent to the geophysical measurements. In addition to the above, unsupervi...

Spacecraft attitude control using magnetic actuators

Spacecraft Attitude Rate Estimation From Geomagnetic Field Measurements

This paper develops methods for estimating the rotation rate of a spacecraft using only measured magnetic field data. The goal is to provide rate information for use in applications such as de-tumbling, nutation damping, and momentum management without using gyroscopes. Two algorithms are developed, a deterministic algorithm and an extended Kalman filter. Both algorithms employ the magnetic fie...