Chemometrics and Statistics | Signal Processing

The basics of computerized instrumental data are discussed including digitization, sampling window and interval, and ADC. The main characteristics of signals and noise are described and signal to noise ratio defined. The aims of signal processing are detection, resolution and integration. Principal approaches, including baseline correction, interpolation, variable reduction and derivatives are outlined. The main types of data include Fourier transform, Hadamard transform and Correlation spectroscopy.