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Sampling (signal processing)
In signal processing, sampling is the reduction of a continuous-time signal to a discrete-time signal. A common example is the conversion of a sound wave
Digital signal processing
Digital signal processing (DSP) is the use of digital processing, such as by computers or more specialized digital signal processors, to perform a wide
Downsampling (signal processing)
But in signal processing, decimation by a factor of 10 actually means keeping only every tenth sample. This factor multiplies the sampling interval
Digital signal (signal processing)
In the context of digital signal processing (DSP), a digital signal is a discrete-time signal for which not only the time but also the amplitude has discrete
Nyquist–Shannon sampling theorem
field of digital signal processing, the sampling theorem is a fundamental bridge between continuous-time signals and discrete-time signals. It establishes
Signal processing
Signal processing is an electrical engineering subfield that focuses on analysing, modifying and synthesizing signals such as sound, images and biological
Aliasing
this way for computational efficiency. See Sampling (signal processing), Nyquist rate (relative to sampling), and Filter bank. Sinusoids are an important
Signal
In signal processing, a signal is a function that conveys information about a phenomenon. In electronics and telecommunications, it refers to any time
Sampling
Sampling may refer to: Sampling (signal processing), converting a continuous signal into a discrete signal Sampling (graphics), converting continuous
Noise (signal processing)
are set by information theory, namely the Nyquist–Shannon sampling theorem. Signal processing noise can be classified by its statistical properties (sometimes