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...

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

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

Graph signal processing presents several key points such as sampling signal techniques, recovery techniques and time-varying techiques. Graph signal processing...

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

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

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

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

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...

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...

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

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...

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...

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...

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

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

Anti-aliasing filter, Spatial anti-aliasing Rectangular function Sampling (signal processing) Signal (electronics) Sinc function, Sinc filter Lanczos resampling...

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...

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

speeds up tracing and improves quality. Anisotropic filtering Sampling (signal processing) Spatial anti-aliasing Amanatides, John (1984). "Ray tracing...

circuit chips. They are widely used in audio signal processing, telecommunications, digital image processing, radar, sonar and speech recognition systems...

Signal-to-noise ratio (SNR or S/N) is a measure used in science and engineering that compares the level of a desired signal to the level of background...

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...

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

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

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

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

sampling theory may mean: Nyquist–Shannon sampling theorem, digital signal processing (DSP) Statistical sampling Fourier sampling This disambiguation...