This is the second of two papers introducing the main topics in digital signal processing. The subject of this paper is the estimation of the spectra of signals and both classical estimation methods and modern model-based methods are discussed. These techniques are compared and results are presented which demonstrate the superior resolution which is obtained with modern autoregressive spectral analysis methods. Examples are given of the application of these techniques in the areas of speech processing and biomedical signal analysis.