ABSTRACT
For computer and information technology (IT) applications, signal processing is an important tool. Nowadays, it is much more efficient and accurate to work with sampled (or digitized) signals rather than with analog (or electrical) signals. Once a signal has been sampled, it can be treated as a sequence of numbers that is a function of a discrete-time variable. When the sampling rate is greater than the Nyquist rate, the digital signal will completely represent the analog signal, because the analog signal can be reconstructed from the digital signal. Digital signal processing (DSP) implements various kinds of mathematical operations, so that physical electrical devices are replaced by computer software or hardware. Unlike analog systems, DSP can handle very sophisticated jobs with as much accuracy as needed. The theory of DSP can be found in three excellent references [1-3].
