sampling frequency (Meaning)
sampling frequency (n)
(telecommunication) the frequency of sampling a continuously varying signal
Synonyms & Antonyms of sampling frequency
No Synonyms and anytonyms found
sampling frequency Sentence Examples
- The sampling frequency for audio signals is typically 44.1 kHz, while for video signals, it can range from 24 Hz to 60 Hz.
- Increasing the sampling frequency improves the accuracy of the signal representation but also increases the amount of data that needs to be processed.
- The Nyquist-Shannon sampling theorem states that the sampling frequency must be at least twice the highest frequency component in the signal to avoid aliasing.
- In digital signal processing, the sampling frequency determines the spacing between the discrete-time samples of a continuous-time signal.
- The sampling frequency should be chosen carefully to ensure that important signal details are not lost during digitization.
- Oversampling is a technique used to increase the sampling frequency beyond the Nyquist rate to reduce noise and improve signal quality.
- Undersampling can lead to aliasing, where high-frequency components of the signal appear as lower-frequency components.
- Anti-aliasing filters are used to remove unwanted high-frequency components from a signal before sampling to prevent aliasing.
- The choice of sampling frequency depends on factors such as the signal bandwidth, desired accuracy, and available processing power.
- Sampling frequency plays a crucial role in determining the fidelity and accuracy of digitized signals in various applications, including audio, video, and data acquisition.
FAQs About the word sampling frequency
(telecommunication) the frequency of sampling a continuously varying signal
No synonyms found.
No antonyms found.
The sampling frequency for audio signals is typically 44.1 kHz, while for video signals, it can range from 24 Hz to 60 Hz.
Increasing the sampling frequency improves the accuracy of the signal representation but also increases the amount of data that needs to be processed.
The Nyquist-Shannon sampling theorem states that the sampling frequency must be at least twice the highest frequency component in the signal to avoid aliasing.
In digital signal processing, the sampling frequency determines the spacing between the discrete-time samples of a continuous-time signal.
