adaptive filter

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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 ?
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.
The 5GNOW proposals modify OFDM with adaptive filtering and advanced signal processing to address both sets of requirements, resulting in an air interface that:
Since the proposed method mainly focuses on Least Mean Square adaptive filtering algorithm to reduce the motion artifacts with low power, ECG database is collected from PhysioNet and simulated using MATLAB and converted into text file in binary format.
Most of the advance echo cancellation system uses adaptive filtering techniques.
Moreover, imec/Holst Centre developed a motion artifact handling approach based on band-pass and adaptive filtering.
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.
The methods, discussed in these papers, can be divided into three parts: ensemble averaging, (classical) adaptive filtering, and spectral analysis methods.
They address the foundations of statistical and adaptive signal processing, including signals and systems definitions and properties, basic concepts of discrete-time signal processing, fundamentals of probability theory, stochastic processes, and estimation theory; the theory of optimal and adaptive filtering in linear and supervised processing; single-input single-output channels and multichannels; and emerging tools such as machine learning-based solutions and bio-inspired methods.
It also uses technology called adaptive filtering to "lock on" to sound waves and remove them, even if the amplitude and frequency change as the drill is being used.
Topics include: mechanical systems and vibration, modeling of disk drive systems and vibration, Stewart platform modeling, an introduction to optimal and robust control, classical vibration control, blending control for multi-frequency disturbance rejection, nonlinearity compensation and nonlinear control, quantization effect on vibration rejection and its compensation, and adaptive filtering algorithms for active vibration control.
Rotations are the main components in adaptive filtering structure as well as many advance signal processing algorithm relying on matrix decomposition [3].

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