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The main applications of filters in signal analysis are as follows:
1. Filters can remove or attenuate noise, interference, and distortion when a signal is transmitted or processed, making the signal clear.
2. The signal can be decomposed into various frequency components, and the filter can select or filter out the signal in a specific frequency range.
3. The filter can selectively boost the signal in certain frequency ranges.
4. The filter can discriminate on signals, such as identifying a certain signal based on signals in a specific frequency range.
5. The filter can remove noise and interference and reduce the noise level of the signal. In conclusion, filters are widely used in signal analysis to improve signal quality, analyze signal characteristics, and extract useful information by selectively filtering and processing signals.
Post time: Jun-25-2023