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.
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References in periodicals archive ?
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.
We will demonstrate and combine in a synergistic way innovative technologies (such as GaN, digital control, adaptive filtering and embedded packaging), thus resulting in a radical breakthrough applicable to advanced EP architectures based on such PPU designs.
Chakraborty, "Sparse adaptive filtering by an adaptive convex combination of the LMS and the ZALMS Algorithms," IEEE Transactions on Circuits and Systems I: Regular Papers, vol.
HD AEC is a complex algorithm which includes noise reduction (NR), as well as anti-howling, adaptive filtering, nonlinear processing, microphone selection, gain and microphone equalization and double-talk detection.
SAWM [17] restores each noise pixel by the weighted mean of adaptive filtering window.
Most of the advance echo cancellation system uses adaptive filtering techniques.
The company is currently leveraging its key enabling technologies, including RF filtering, HTS materials and cryogenics to develop energy efficient, cost-effective and high performance second generation (2G) HTS wire for existing and emerging power applications, to develop applications for advanced RF wireless solutions and innovative adaptive filtering, and for government R&D.
Adaptive filtering, one of the system's many industry-exclusive features, ensures that the 830R/T is highly responsive in all modes of operation, providing left-to-right guidance very quickly regardless of mode or operator style.
Adaptive filtering techniques exploit the correlation between the noise component in the noisy EMI signal received by antenna 1, as can be seen in Fig.
This type of advance system gives additional capabilities like digital beamforming and advance adaptive filtering for target detection and clutter rejection [9,19,20].
Since the improvement of the image quality is the objective of the adaptive filtering, and such objective needs to be achieved without degrading significantly the edges, the performance evaluation of the filters was carried out using three measurements that are not correlated with each other: signal to noise ratio (SNR); the edge improvement index (EEI) and the mean quadratic error (RMSE).

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