Net Deals Web Search

Search results

  1. Results From The WOW.Com Content Network
  2. Frequency response - Wikipedia

    en.wikipedia.org/wiki/Frequency_response

    In signal processing and electronics, the frequency response of a system is the quantitative measure of the magnitude and phase of the output as a function of input frequency. The frequency response is widely used in the design and analysis of systems, such as audio and control systems , where they simplify mathematical analysis by converting ...

  3. Sampling (signal processing) - Wikipedia

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

    The sampling frequency or sampling rate, f s, is the average number of samples obtained in one second, thus f s = 1/T, with the unit samples per second, sometimes referred to as hertz, for example 48 kHz is 48,000 samples per second.

  4. Butterworth filter - Wikipedia

    en.wikipedia.org/wiki/Butterworth_filter

    The frequency response of the Butterworth filter is maximally flat (i.e., has no ripples) in the passband and rolls off towards zero in the stopband. When viewed on a logarithmic Bode plot, the response slopes off linearly towards negative infinity.

  5. Low-pass filter - Wikipedia

    en.wikipedia.org/wiki/Low-pass_filter

    A low-pass filter is a filter that passes signals with a frequency lower than a selected cutoff frequency and attenuates signals with frequencies higher than the cutoff frequency. The exact frequency response of the filter depends on the filter design .

  6. Bandwidth (signal processing) - Wikipedia

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

    A less strict and more practically useful definition will refer to the frequencies beyond which performance is degraded. In the case of frequency response, degradation could, for example, mean more than 3 dB below the maximum value or it could mean below a certain absolute value

  7. Nyquist–Shannon sampling theorem - Wikipedia

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

    The NyquistShannon 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.

  8. Frequency domain - Wikipedia

    en.wikipedia.org/wiki/Frequency_domain

    For example, using the Fourier transform, a sound wave, such as human speech, can be broken down into its component tones of different frequencies, each represented by a sine wave of a different amplitude and phase. The response of a system, as a function of frequency, can also be described by a complex function.

  9. Infinite impulse response - Wikipedia

    en.wikipedia.org/wiki/Infinite_impulse_response

    Infinite impulse response (IIR) is a property applying to many linear time-invariant systems that are distinguished by having an impulse response that does not become exactly zero past a certain point but continues indefinitely.

  10. Zero-order hold - Wikipedia

    en.wikipedia.org/wiki/Zero-order_hold

    A zero-order hold reconstructs the following continuous-time waveform from a sample sequence x [ n ], assuming one sample per time interval T : where is the rectangular function . The function is depicted in Figure 1, and is the piecewise-constant signal depicted in Figure 2.

  11. Linear filter - Wikipedia

    en.wikipedia.org/wiki/Linear_filter

    Frequency response. The frequency response or transfer function | | of a filter can be obtained if the impulse response is known, or directly through analysis using Laplace transforms, or in discrete-time systems the Z-transform. The frequency response also includes the phase as a function of frequency, however in many cases the phase response ...