Nyquist frequency
In signal processing, the frequency whose cycle-length is twice the interval between samples
In signal processing, the Nyquist frequency (or folding frequency) is a characteristic of a sampler, which converts a continuous function or signal into a discrete sequence. It is named after Harry Nyquist.
Nº Q1501757 ★★
Uncommon · Knowledge
Nyquist frequency
In signal processing, the frequency whose cycle-length is twice the interval between samples
In signal processing, the Nyquist frequency (or folding frequency) is a characteristic of a sampler, which converts a continuous function or signal into a discrete sequence. It is named after Harry Nyquist.
Last price
—
Floor price
—
7-day median
—
30-day sales
0
30-day range
—
In circulation
0
Price history
median
low – high
sales
No sales in this period
Show table
| Date | median | Low | High | sales |
|---|
Sales history
- Last sale
- —
- 30-day average
- —
- 30-day low
- —
- 30-day high
- —
- Sales 7d
- 0
- Sales 30d
- 0
No sales yet.
Anonymous sales: no buyer or seller shown. Figures count player-to-player sales only.
From Wikipedia
In signal processing, the Nyquist frequency (or folding frequency) is a characteristic of a sampler, which converts a continuous function or signal into a discrete sequence. It is named after Harry Nyquist. For a given sampling rate (samples per second), the Nyquist frequency (cycles per second) is the frequency whose cycle-length (or period) is twice the interval between samples, thus 0.5 cycles/sample. For example, audio CDs have a sampling rate of 44,100 samples/second. At 0.5 cycles/sample, the corresponding Nyquist frequency is 22,050 cycles/second (Hz). Conversely, the Nyquist rate for sampling a 22,050 Hz signal is 44,100 samples/second. When the highest frequency (bandwidth) of a signal is less than the Nyquist frequency of the sampler, the resulting discrete-time sequence is said to be free of the distortion known as aliasing, and the corresponding sample rate is said to be above the Nyquist rate for that particular signal. In a typical application of sampling, one first chooses the highest frequency to be preserved and recreated, based on the expected content (voice, music, etc.) and desired fidelity. Then one inserts an anti-aliasing filter ahead of the sampler. Its job is to attenuate the frequencies above that limit. Finally, based on the characteristics of the filter, one chooses a sample rate (and corresponding Nyquist frequency) that will provide an acceptably small amount of aliasing. In applications where the sample rate is predetermined (such as the CD rate), the filter is chosen based on the Nyquist frequency, rather than vice versa.
Text: Wikipédia, CC BY-SA 4.0. · Image: Bob K (CC0) ·
Related cards
Fourier series
Decomposition of periodic functions into sums of simpler sinusoidal forms
Nº Q179467 ★★★
Aliasing
Different continuous signals becoming indistinguishable when sampled
Nº Q868732 ★★
Nyquist–Shannon sampling theorem
Theorem in signal processing describing discrete samples of a continuous signal
Nº Q679800 ★★★
Hypercomplex number
Element of a unital algebra over the field of real numbers
Nº Q837414 ★★
Thompson sampling
Heuristic for choosing actions that addresses the exploration-exploitation dilemma in the multi-armed bandit problem
Nº Q7795822 ★★
Nyquist stability criterion
Nyquist stability criterion in control systems
Nº Q1756793 ★★