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Encyclopedia > Sinc filter

In signal processing, a sinc filter is an idealized filter that removes all frequency components above a given bandwidth and leaves the low frequencies alone. It is shaped like a rectangular function in the frequency domain and like a sinc function in the time domain. Realistic filters can only approximate this, since an ideal sinc filter (aka rectangular filter) has an infinite delay, but it is commonly found in conceptual demonstrations or proofs, such as the sampling theorem and the Whittaker–Shannon interpolation formula. Signal processing is the processing, amplification and interpretation of signals, and deals with the analysis and manipulation of signals. ... Television signal splitter consisting of a hi-pass and a low-pass filter. ... The rectangular function (also known as the rectangle function or the normalized boxcar function) is defined as or in terms of the Heaviside step function The rectangular function is normalized: The Fourier transform of the rectangular function is where sinc is the sinc function. ... The sinc function sinc(x) from x = âˆ’8Ï€ to 8Ï€. In mathematics, the sinc function (for sinus cardinalis), also known as the interpolation function, filtering function or the first spherical Bessel function , is the product of a sine function and a monotonically decreasing function. ... The Nyquist–Shannon sampling theorem is a fundamental result in the field of information theory, in particular telecommunications and signal processing. ... The Whittaker–Shannon interpolation formula dates back to works of E. Borel in 1898, and E. T. Whittaker in 1915, and was cited from works of J. M. Whittaker in 1935 in the formulation of the Nyquist–Shannon sampling theorem by C. E. Shannon in 1949. ...


In mathematical terms, the desired frequency response is the rectangular function : The rectangular function (also known as the rectangle function or the normalized boxcar function) is defined as or in terms of the Heaviside step function The rectangular function is normalized: The Fourier transform of the rectangular function is where sinc is the sinc function. ...

H(f) = mathrm{rect} left( frac{f}{2B} right)

where B, is an arbitrary cutoff frequency (aka bandwidth) (in Hz). The impulse response of such a filter is given by the inverse Fourier transform: In mathematics, the continuous Fourier transform is a certain linear operator that maps functions to other functions. ...

h(t) = mathcal{F}^{-1} { H }(t) = 2Bcdot frac{sin(2pi Bt)}{2pi Bt}
= 2Bcdot mathrm{sinc}(2Bcdot t),,   in terms of the normalized sinc function.

The sinc function sinc(x) from x = âˆ’8Ï€ to 8Ï€. In mathematics, the sinc function (for sinus cardinalis), also known as the interpolation function, filtering function or the first spherical Bessel function , is the product of a sine function and a monotonically decreasing function. ...

See also

  • Aliasing
  • Anti-aliasing
  • Whittaker–Shannon interpolation formula

  Results from FactBites:
 
Understanding the Effects of Clock Tolerances on 50/60Hz Noise Rejection in High Performance Sigma Delta ADCs - ... (763 words)
Common implementations of the digital filter in sigma-delta ADCs are a lowpass filter with a SINC (Sin(x)/x) impulse response.
Filter order and decimation ratios are typically defined by the design of the sigma-delta ADC and shown in the ADC data sheet.
filter response with a 60Hz notch frequency, 19.2kHz modulator frequency, and a decimation ratio of 320.
Sinc filter - definition of Sinc filter in Encyclopedia (303 words)
One method of minimizing such defects is to filter the sounds and images, to remove obvious noises and scratches.
At this point it is unfortunately impossible to create filters that restore a signal to its pristine original self, but we have a starting point, and that is the sinc filter.
If the signal is convolved with the sinc filter then the original signal can be restored.
  More results at FactBites »


 

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