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- Adaptive systems can be characterized by four items: the adaptive structure being modified, the configuration which contains the adaptive structure, the performance measure used to evaluate the current state of the adaptive structure, and the algorithm used to modify the structure to improve its performance.
www.sciencedirect.com/science/article/pii/0045790692900134An introduction to adaptive signal processing - ScienceDirect
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Adaptive Signal Processing is an invaluable tool for graduate students, researchers, and practitioners working in the areas of signal processing, communications, controls, radar, sonar, and biomedical engineering.
- Wiley Online Library
The fundamental relationships for the derivation and...
- Wiley Online Library
- 1 Dynamic Physical System Identification Process
- 2 Prediction
- 3 Adaptive Inverse Modeling Estimation
- 4 Adaptive interference Cancellation
- Remark
The term identification means the determination of the mathematical relationship and its parameters that models and predicts the behavior of an unknown physical system. A general scheme of an identification system is shown in Fig. 2.6. In this case, without loss of generality, the physical system is defined in the CT domain while its mathematical m...
The estimation process of a certain quantity related to future time (or otherwise in a different domain) is a problem that has always affected philosophers and scientists. With the term predictionis indicated the estimate, considering a possible accepted error, of a future event starting from the knowledge of the time series of past observations. M...
Another important application in many sectors is related to the estimation of the inverse of the physical model (a problem also known as inverse filtering or, for the linear case, deconvolution). Given a certain system, the estimation of the inverse model can be made by inserting the adaptive circuit upstream or downstream of the system itself. As ...
Given a process consisting of a useful signal with superimposed interference, the adaptive interference cancellationis the process of estimation and subtraction of this interference, from the useful signal.
The acoustic transduction devices, such as microphones and especially loudspeakers, are by their nature (sometimes strongly) nonlinear and, for this reason, the adaptive acoustic systems that use such devices should take into account of such nonlinearity. In the case of echo cancellation and even, as we shall see in the next section, in the active ...
- Aurelio Uncini
- 2015
The fundamental relationships for the derivation and analysis of adaptive algorithms in the complex domain are established based on Wirtinger calculus, and their successful application is demonstrated for two basic problems in adaptive signal processing: filtering and independent component analysis (ICA).
By adaptive signal processing, we mean, in general, adaptive ?ltering.In- known environments where we need to model, identify, or track time-varying channels, adaptive ?ltering has been proven to be an e?ective and powerful tool.
Adaptive signal processing (ASP) and iterative signal processing (ISP) are important tech-niques in improving the performance of receivers in communication systems. Using exam-ples from practical transceiver designs, this book describes the fundamental theory and practical aspects of both methods, providing a link between the two where possible.
In this book, the focus is on adaptive system identification methods for non-squares adaptive filters (Sayed K 1994, Sayed A 2003, Diniz 2002). studied and developed by (Widrow 1959). His development is based on the linear adaptive filtering (or adaptive signal processing).
May 25, 2016 · Adaptive Signal Processing. By Simon Haykin. In historic terms, the topic of adaptive signal processing—also frequently referred to as adaptive filtering—started with the least-mean-square (LMS) algorithm, which was first described in a conference paper co-authored by Widrow and Hoff (1960).
