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Choosing Input Signals for an Application

LabVIEW 2013 Adaptive Filter Toolkit Help

Edition Date: June 2013

Part Number: 372357B-01

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In the diagram of an adaptive filter, notice that the adaptive filter requires two input signals: x(n) and d(n). The sources of x(n) and d(n) vary depending on the application. Therefore, choosing the appropriate input signals for an application is important. The following table lists the sources of x(n), d(n), and e(n) for different applications.

Application Input Signal x(n) Input Signal d(n) e(n)
Active Noise Control Noisy signal that the primary microphone acquires N/A Residue noise that the error microphone acquires
Adaptive Channel Equalization Output signal from the unknown system Delayed version of the input signal to the unknown system Estimation error
Adaptive Inverse Control
Adaptive Echo Cancellation Reference signal of the noise or echo Original signal that contains noise or echo Filtered signal
Adaptive Noise Cancellation
Adaptive Linear Prediction Past values of the signal Current values of the signal Prediction error
System Identification Input signal to the unknown system Output signal from the unknown system Estimation error

 

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