Abstract
Digital signal processing (DSP) is a method of processing signals and data in order to enhance or modify those signals, or to analyze those signals to determine specific information content. It involves the processing of real-world signals that are converted into—and represented by—sequences of numbers. These signals are then processed using mathematical techniques in order to extract certain information from the signals or to transform them in some (preferably beneficial) way. Though analog signals can also be processed using analog hardware (that is, electrical circuits containing active and passive elements), there are several advantages to digital signal processing. These advantages lead to lower cost, which is the main reason for the ongoing shift from analog to digital processing in wireless telephones, consumer electronics, industrial controllers, and numerous other applications. The discipline of signal processing, whether analog or digital, consists of a large number of specific techniques. These can be roughly categorized into two families: signal-analysis/feature-extraction techniques, which are used to extract useful information from a signal; and signal-filtering/shaping techniques, which are used to improve the quality of a signal.
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