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 (DSP) is the use of digital processing, such as by computers or more specialized digital signal processors, to perform a wide...

Look up sampling in Wiktionary, the free dictionary. Sampling may refer to: Sampling (signal processing), converting a continuous signal into a discrete...

Nyquist–Shannon sampling theorem is an essential principle for digital signal processing linking the frequency range of a signal and the sample rate required...

But in signal processing, decimation by a factor of 10 actually means keeping only every tenth sample. This factor multiplies the sampling interval...

Signal processing is an electrical engineering subfield that focuses on analyzing, modifying and synthesizing signals, such as sound, images, potential...

this way for computational efficiency.  (See Sampling (signal processing), Nyquist rate (relative to sampling), and Filter bank.) Sinusoids are an important...

of digital signal processing (DSP), a digital signal is a discrete time, quantized amplitude signal. In other words, it is a sampled signal consisting...

dimension. In m-D digital signal processing, useful data is sampled in more than one dimension. Examples of this are image processing and multi-sensor radar...

multiple subject fields including signal processing, information theory and biology. In signal processing, a signal is a function that conveys information...

Signal chain, or signal-processing chain is a term used in signal processing and mixed-signal system design to describe a series of signal-conditioning...

different purposes. In the context of, for example, the sampling theorem and Nyquist sampling rate, bandwidth typically refers to baseband bandwidth....

Sample-rate conversion, sampling-frequency conversion or resampling is the process of changing the sampling rate or sampling frequency of a discrete signal...

submitted to the Nyquist–Shannon sampling theorem. Assuming the sampling period is T, thus after temporal sampling, the signal is r ( t ) = r ( n T ) = s (...

In digital signal processing (DSP), a normalized frequency is a ratio of a variable frequency ( f {\displaystyle f} ) and a constant frequency associated...

digital signal processing and is best known for his work on wavelets. He has also contributed to other areas, including sampling (signal processing), computational...

Nyquist–Shannon sampling theorem Sampling (signal processing) The factor of 1 2 {\displaystyle {\tfrac {1}{2}}} has the units cycles/sample (see Sampling and Sampling...

sensing, compressive sampling, or sparse sampling) is a signal processing technique for efficiently acquiring and reconstructing a signal, by finding solutions...

Audio signal processing is a subfield of signal processing that is concerned with the electronic manipulation of audio signals. Audio signals are electronic...

it may have been obtained by sampling from a continuous-time signal. When a discrete-time signal is obtained by sampling a sequence at uniformly spaced...

represents the original time-varying quantity as a sampled sequence of quantized values. Digital sampling imposes some bandwidth and dynamic range constraints...

In signal processing, reconstruction usually means the determination of an original continuous signal from a sequence of equally spaced samples. This article...

In signal processing, a filter is a device or process that removes some unwanted components or features from a signal. Filtering is a class of signal processing...

spiral. The process of digital sampling causes ringing in the filters that are used to remove reflected signals from slow moving objects. Sampling causes frequency...

In signal processing, undersampling or bandpass sampling is a technique where one samples a bandpass-filtered signal at a sample rate below its Nyquist...

be modeled as two processes: sampling and quantization. Sampling converts a time-varying voltage signal into a discrete-time signal, a sequence of real...

may be used to change signals that have been encoded with a different sampling rate to a common sampling rate prior to processing. Audio data compression...

sampling is also related to umbrella sampling in computational physics. Depending on the application, the term may refer to the process of sampling from...

which converts a continuous function or signal into a discrete sequence. For a given sampling rate (samples per second), the Nyquist frequency (cycles...

removal is done before (re)sampling at a lower resolution. When sampling is performed without removing this part of the signal, it causes undesirable artifacts...