Several techniques are employed for analyzing data from nanoscale sensors:
- Statistical Methods: Basic statistical techniques are used to identify trends, correlations, and anomalies in the data. - Machine Learning: Advanced algorithms can learn from the data to make predictions or classify different types of signals. - Signal Processing: Techniques such as filtering, Fourier analysis, and wavelet transforms help to extract meaningful information from noisy data. - Data Visualization: Graphical representations like heatmaps, scatter plots, and 3D models help to interpret complex data sets.
