Signal Processing in Analytical Chemistry

摘要: Signal processing refers to a variety of operations that can be carried out on continuous (analog) or discrete (digital) sequence measurements in order enhance the quality information it is intended convey. In analog domain, electronic signal encompass such as amplification, filtering, integration, differentiation, modulation/demodulation, peakdetection, and analog-to-digital (A/D) conversion. Digital include filtering methods (e.g. polynomial least-squares smoothing, median matched boxcar averaging, interpolation, decimation, Kalman filtering) domain transformations Fourier transform (FT), Hadamard (HT), wavelet (WT)). Generally objective separate useful part from contains no (the noise) using either explicit implicit models distinguish these two components. at various stages has become an integral most modern analytical measurement systems plays critical role ensuring those measurements.