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Compression with Fast Fourier Transform

In general, there are two types of compression (1) individual spectra can be compressed and filtered and (2) the entire dataset can be compressed and filtered by representing each of the individual spectra as a linear combination of some smaller set of data, which is referred to as a basis set. In this section, we will address the processing of individual spectra by applying the fast fourier transform (FFT) algorithm and followed this discussion with one on processing sets of spectra with principal component analysis (PCA). [Pg.87]

See other pages where Compression with Fast Fourier Transform is mentioned: [Pg.463]    [Pg.670]    [Pg.228]    [Pg.36]    [Pg.321]    [Pg.179]    [Pg.213]    [Pg.281]    [Pg.420]    [Pg.113]    [Pg.1805]    [Pg.104]    [Pg.452]    [Pg.117]    [Pg.181]    [Pg.187]    [Pg.434]    [Pg.243]    [Pg.818]   


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