Digital signal (signal processing)


In the context of digital signal processing, a digital signal is a discrete time, quantized amplitude signal. In other words, it is a sampled signal consisting of samples that take on values from a discrete set. If that discrete set is finite, the discrete values can be represented with digital words of a finite width. Most commonly, these discrete values are represented as fixed-point words or floating-point words.
for reconstruction of the original cosine function from samples.
The process of analog-to-digital conversion produces a digital signal. The conversion process can be thought of as occurring in two steps:
  1. sampling, which produces a continuous-valued discrete-time signal, and
  2. quantization, which replaces each sample value by an approximation selected from a given discrete set.
It can be shown that an analog signal can be reconstructed after conversion to digital, provided that the signal has negligible power in frequencies above the Nyquist limit and does not saturate the quantizer.
Common practical digital signals are represented as 8-bit, 16-bit, 24-bit and 32-bit. But the number of quantization levels is not necessarily limited to powers of two. A floating point representation is used in many DSP applications.