Publisher's Synopsis
Digital Signal Processing (DSP) is the fundamental tool of biomedical data analysis, just as a telescope is in astronomy. Assuming data has been correctly gathered according to a well-designed protocol, the effectiveness of the application of DSP techniques determines the success of a study. Unfortunately, since DSP is a relatively new branch of electrical engineering and applied mathematics, and is not usually included in the curricula of psychological, biological or medical science educational programs, the vast majority of biomedical researchers are inadequately prepared in DSP, and are thus at a severe disadvantage in conducting their research. The problem is not easily rectified since DSP is a technically complex area to study, which, at the least, requires prerequisite knowledge of linear algebra, calculus and the physics of electricity.
