How are Signal Processing Algorithms Implemented in Nanodevices?
Implementing signal processing algorithms in nanodevices involves several steps:
1. Data Acquisition: Signals are first acquired from the nanodevice using appropriate sensors. 2. Pre-processing: The acquired signals are pre-processed to remove noise and normalize the data. 3. Algorithm Application: The pre-processed data is then fed into the chosen signal processing algorithm. 4. Post-processing: The output from the algorithm is post-processed to extract meaningful information or to control the nanodevice.
