adaptive filter

(redirected from Adaptive filtering)

adaptive filter

[ə‚dap·tiv ′fil·tər]
(electronics)
An electric filter whose frequency response varies with time, as a function of the input signal.
Mentioned in ?
References in periodicals archive ?
[6] Wentao Ma, Jiandong Duan, Weishi Man, Junli Liang, Badong Chen, "General mixed-norm-based diffusion adaptive filtering algorithm for distributed estimation over network," IEEE Access, vol.
Performance of the adaptive filtering scheme highly depends on conductance parameter K and the determination of it is a critical issue [13].
Different approaches to this problem have been proposed in the recent literature including adaptive filtering [6], adaptive phase-locked loop [7], method based on the signal shape-locked-loop decomposer solution [8], principal and independent component analysis [9] and artificial neural networks [10].
In Section 2, the classification and identification schemes including adaptive filtering, frequency spectrum, evaluation indexes, WCM and PNN classifier are introduced.
Cohen, "Detection of fetal ECG with IIR adaptive filtering and genetic algorithms," in 1999 Proceedings., 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing, Phoenix, AZ, USA, March 1999.
Adaptive filtering structure uses LMS algorithm to find its coefficients that relate to generate the least mean squares of the error coefficient [4].
The GC70 creates high-quality images with cutting-edge digital enhancements such as the S-Vue imaging engine, which provides high resolution images through adaptive filtering. Workflow enhancements such as S-Align, a unique and highly practical feature, provides accurate alignment at multiple angles and broadcasts the detector's degree of angulation to the tube head allowing proper radiographic alignment when imaging gurney or wheel chair patients.
To prevent divergence and to improve the practicability of SLAM algorithm, the so-called adaptive filtering approach has been used in SLAM algorithm to dynamically adjust the parameters of the supposedly optimum filter based on estimating the unknown parameters for online estimation of motion and by estimating the signal and noise statistics from the available data.
AIC based on linear and nonlinear adaptive filtering discussed in [5] is shown in Figure 3.
Umeda, "An adaptive filtering algorithm using an orthogonal projection to an affine subspace and its properties," Electronics and Communications in Japan (Part I: Communications), vol.
Adaptive filtering techniques play a very important role in the emerging fields of science and technology [1-3]; however, the last two decades have witnessed tremendous research in the field of adaptive filtering for the improvement of their convergence and complexity requirements [4-6].

Full browser ?