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  2. Aliasing - Wikipedia

    en.wikipedia.org/wiki/Aliasing

    This unwanted signal is known as an image or alias of the desired signal. The first written use of the terms "alias" and "aliasing" in signal processing appears to be in a 1949 unpublished Bell Laboratories technical memorandum [4] by John Tukey and Richard Hamming. That paper includes an example of frequency aliasing dating back to 1922.

  3. Nyquist–Shannon sampling theorem - Wikipedia

    en.wikipedia.org/wiki/Nyquist–Shannon_sampling...

    The Nyquist–Shannon sampling theorem is an essential principle for digital signal processing linking the frequency range of a signal and the sample rate required to avoid a type of distortion called aliasing.

  4. Nyquist frequency - Wikipedia

    en.wikipedia.org/wiki/Nyquist_frequency

    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 cycle/sample. For example, audio CDs have a sampling rate of 44100 samples/second. At 0.5 cycle/sample, the corresponding Nyquist frequency is 22050 cycles/second .

  5. Sampling (signal processing) - Wikipedia

    en.wikipedia.org/wiki/Sampling_(signal_processing)

    The sampling frequency or sampling rate, , is the average number of samples obtained in one second, thus = /, with the unit samples per second, sometimes referred to as hertz, for example 48 kHz is 48,000 samples per second.

  6. Nyquist rate - Wikipedia

    en.wikipedia.org/wiki/Nyquist_rate

    Fig 1: Typical example of Nyquist frequency and rate. They are rarely equal, because that would require over-sampling by a factor of 2 (i.e. 4 times the bandwidth). In signal processing , the Nyquist rate , named after Harry Nyquist , is a value equal to twice the highest frequency ( bandwidth ) of a given function or signal.

  7. Downsampling (signal processing) - Wikipedia

    en.wikipedia.org/wiki/Downsampling_(signal...

    Reduce high-frequency signal components with a digital lowpass filter. Decimate the filtered signal by M; that is, keep only every M th sample. Step 2 alone creates undesirable aliasing (i.e. high-frequency signal components will copy into the lower frequency band and be mistaken for lower frequencies). Step 1, when necessary, suppresses ...

  8. Undersampling - Wikipedia

    en.wikipedia.org/wiki/Undersampling

    Spectrum of the FM radio band (88–108 MHz) and its baseband alias under 56 MHz (n = 4) sampling, showing plenty of room for bandpass anti-aliasing filter transition bands. The baseband image is frequency-reversed in this case (even n). Example: Consider FM radio to illustrate the idea of undersampling.

  9. Stroboscopic effect - Wikipedia

    en.wikipedia.org/wiki/Stroboscopic_effect

    The stroboscopic effect is a visual phenomenon caused by aliasing that occurs when continuous ... with the frequency, or ... For example, a factory that is lit from a ...