Why is Independent Component Analysis (ICA) primarily used in applications like audio signal processing?
- It's more computationally efficient
- It separates mixed sources effectively
- It requires less data for training
- It's based on supervised learning
ICA is used in audio signal processing because it can effectively separate mixed sources, making it useful for source separation and blind signal separation tasks.
Loading...
Related Quiz
- The equation y=mx+cy=mx+c is a simple representation of ________ regression.
- One common regularization technique involves adding a penalty to the loss function based on the magnitude of the coefficients, known as ________ regularization.
- How do conditional GANs (cGANs) differ from standard GANs?
- In DQNs, the target Q-values are updated less frequently than the predicted Q-values to ensure stability, using a concept known as ________ networks.
- In which learning approach does the model learn to make decisions by receiving rewards or penalties for its actions?