Adaptive Filter - Enhancing Computer Vision Through Adaptive Filtering
Fouad Sabry
Publisher: One Billion Knowledgeable
Summary
What is Adaptive Filter A system that has a linear filter and possesses a transfer function that is controlled by variable parameters as well as a means to alter those parameters in accordance with an optimization technique is commonly referred to as an adaptive filter. The vast majority of adaptive filters are digital filters. This is due to the complexity of the optimization techniques. Some applications necessitate the utilization of adaptive filters due to the fact that some parameters of the desired processing operation are either unknown in advance or are frequently subject to change. Refining the transfer function of the closed loop adaptive filter is accomplished by the utilization of feedback in the form of an error signal. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Adaptive filter Chapter 2: Signal-to-noise ratio Chapter 3: Additive white Gaussian noise Chapter 4: Linear elasticity Chapter 5: Sliding mode control Chapter 6: Array processing Chapter 7: Autoregressive model Chapter 8: Least mean squares filter Chapter 9: Recursive least squares filter Chapter 10: ADALINE (II) Answering the public top questions about adaptive filter. (III) Real world examples for the usage of adaptive filter in many fields. Who this book is for Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Adaptive Filter.
Available since: 04/30/2024.
Print length: 151 pages.
