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Everything about Sampling (signal processing)
Measurement of a signal at discrete time intervals
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 to a sequence of "samples". A sample is a value of the signal at a point in time and/or space. The original signal can be reconstructed from a sequence of samples, up to the Nyquist limit, by passing the sequence of samples through a reconstruction filter. A sampler is a subsystem or operation that extracts samples from a continuous signal. A theoretical ideal sampler produces samples equivalent to the instantaneous value of the continuous signal at the desired points. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Sampling (signal processing)A 5-minute orientation
- Skim a recent paper: Graph Signal Processing: Dualizing GSP Sampling in the Vertex and Spectral DomainsInfluential work since 2022
- Pick up a classic book: Compressive Sensing for Wireless NetworksThe most-reprinted book on the subject
- Read the landmark paper: Discrete Signal Processing on Graphs: Sampling TheoryCited 580 times
- Go sideways: Anti-aliasing filterA closely related topic
- Go sideways: BitcrusherA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Discrete Signal Processing on Graphs: Sampling Theory
Nonuniform sampling and non-Fourier signal processing methods in multidimensional NMR
Acoustic sampling and signal processing near the seabed: the deadzone revisited
Adaptive Graph Signal Processing: Algorithms and Optimal Sampling Strategies
Adaptive importance sampling in signal processing
A multi-threshold sampling method for TOF-PET signal processing
Interrupted sampling repeater jamming recognition and suppression based on phase-coded signal processing
Generalized rejection sampling schemes and applications in signal processing
🆕 Influential since 2022
Graph Signal Processing: Dualizing GSP Sampling in the Vertex and Spectral Domains
Quadrature Demodulation Method for Resolver Signal Processing Under Different Sampling Rate
Parallel Graph Signal Processing: Sampling and Reconstruction
Sampling and Uniqueness Sets in Graphon Signal Processing
An Under-Sampling Array Signal Processing Method Based on Improved Hadamard Matrix
📚 Books worth reading
Compressive Sensing for Wireless NetworksHusheng Li · 2013- 📕Sparse ModelingIrina Rish, Genady Grabarnik · 2014
New Perspectives on Approximation and Sampling TheoryAhmed I. Zayed, Gerhard Schmeisser · 2014
Radar techniques using array antennasWulf-Dieter Wirth · 2001
Sampling TheoryYonina C. Eldar · 2014
Multiscale Signal Analysis and ModelingXiaoping Shen · 2012
Scrambling techniques for digital transmissionByeong Gi Lee, Byeong G. Lee · 1994
Sampling, wavelets, and tomographyJohn Benedetto, Ahmed I. Zayed · 2003
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Anti-aliasing filter An anti-aliasing filter (AAF) is a filter used before a signal sampler to restrict the bandwidth of a signal to satisfy the Nyquist–Shannon sampling theorem…
- Bitcrusher A bitcrusher or bit crusher is an audio effect that produces distortion by reducing the resolution or bandwidth of digital audio data. The resulting quantized…
- Oversampling In signal processing, oversampling is the process of sampling a signal at a sampling frequency significantly higher than the Nyquist rate. Theoretically…
- Analog-to-digital converter In electronics, an analog-to-digital converter (ADC, A/D, or A-to-D) is a system that converts an analog signal, such as from fingers touching a touchscreen…
- Comparison of analog and digital recording Sound can be recorded and stored and played using either digital or analog techniques. Both techniques introduce errors and distortions in the sound, and…
- Delta-sigma modulation Delta–sigma (ΔΣ; or sigma–delta, ΣΔ) modulation is an oversampling method for encoding signals into low bit depth digital signals at a very high sample-frequenc…
- Noise shaping In signal processing, noise shaping is a technique typically used when processing digital audio, image, and video signals. It is usually used in combination…
- Digital audio Digital audio is a representation of sound recorded in, or converted into, digital form. In digital audio, the sound wave of the audio signal is typically…