Howtosignalprocessing
- How adaptive filter can be used as noise cancellation?
- What is the basic idea behind adaptive filters?
- What does LMS filter do?
- Which algorithm is used in noise cancellation?
How adaptive filter can be used as noise cancellation?
The adaptive noise cancellation system assumes the use of two microphones. A primary microphone picks up the noisy input signal, while a secondary microphone receives noise that is uncorrelated to the information bearing signal, but is correlated to the noise picked up by the primary microphone.
What is the basic idea behind adaptive filters?
Adaptive filters are digital filters whose coefficients change with an objective to make the filter converge to an optimal state. The optimization criterion is a cost function, which is most commonly the mean square of the error signal between the output of the adaptive filter and the desired signal.
What does LMS filter do?
LMS filters are a class of adaptive filters that are able to "learn" an unknown transfer functions. LMS filters use a gradient descent method in which the filter coefficients are updated based on the instantaneous error signal. Adaptive filters are often used in communication systems, equalizers, and noise removal.
Which algorithm is used in noise cancellation?
Masimo's adaptive noise cancellation technology, which is known as the Discrete Signal Extraction (DST) algorithm, is now one of four algorithms that processes data in parallel.
