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Sinc filter

Sinc filter is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Sinc filter rather than just read about it. In short: In signal processing, a sinc filter can refer to either a sinc-in-time filter whose impulse response is a sinc function and whose frequency response is rectangular, or to a sinc-in-frequency filter whose impulse response is rectangular and whose frequency response is a sinc function. Calling them according to which domain the filter resembles a sinc avoids confusion.

Sinc filter — main illustration
Sinc filter — illustration

Key takeaways

  • Sinc filter belongs to science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Sinc filter to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Sinc filter from memory before moving on to harder problems.

Reference excerpt

In signal processing, a sinc filter can refer to either a sinc-in-time filter whose impulse response is a sinc function and whose frequency response is rectangular, or to a sinc-in-frequency filter whose impulse response is rectangular and whose frequency response is a sinc function. Calling them according to which domain the filter resembles a sinc avoids confusion. If the domain is unspecified, sinc-in-time is often assumed, or context hopefully can infer the correct domain.

Sinc-in-time Sinc-in-time is an ideal filter that removes all frequency components above a given cutoff frequency, without attenuating lower frequencies, and has linear phase response. It may thus be considered a brick-wall filter or rectangular filter. Its impulse response is a sinc function in the time domain:

sin ⁡ ( π t ) π t {\displaystyle {\frac {\sin(\pi t)}{\pi t}}}

while its frequency response is a rectangular function:

H ( f ) = rect ⁡ ( f 2 B ) = { 0 , if | f | > B , 1 2 , if | f | = B , 1 , if | f | < B , {\displaystyle H(f)=\operatorname {rect} \left({\frac {f}{2B}}\right)={\begin{cases}0,&{\text{if }}|f|>B,\\{\frac {1}{2}},&{\text{if }}|f|=B,\\1,&{\text{if }}|f|<B,\end{cases}}}

where B {\displaystyle B} (representing its bandwidth) is an arbitrary cutoff frequency. Its impulse response is given by the inverse Fourier transform of its frequency response:

h ( t ) = F − 1 { H ( f ) } = ∫ − B B exp ⁡ ( 2 π i f t ) d f = 2 B sinc ⁡ ( 2 B t ) {\displaystyle {\begin{aligned}h(t)={\mathcal {F}}^{-1}\{H(f)\}&=\int _{-B}^{B}\exp(2\pi ift)\,df\\&=2B\operatorname {sinc} (2Bt)\end{aligned}}}

where sinc is the normalized sinc function.

Brick-wall filters An idealized electronic filter with full transmission in the pass band, complete attenuation in the stop band, and abrupt transitions is known colloquially as a "brick-wall filter" (in reference to the shape of the transfer function). The sinc-in-time filter is a brick-wall low-pass filter, from which brick-wall band-pass filters and high-pass filters are easily constructed. The lowpass filter with brick-wall cutoff at frequency BL has impulse response and transfer function given by:

h L P F ( t ) = 2 B L sinc ⁡ ( 2 B L t ) {\displaystyle h_{LPF}(t)=2B_{L}\operatorname {sinc} \left(2B_{L}t\right)}

H L P F ( f ) = rect ⁡ ( f 2 B L ) . {\displaystyle H_{LPF}(f)=\operatorname {rect} \left({\frac {f}{2B_{L}}}\right).}

… excerpt ends here. Continue reading the full article.

Illustrations

Sinc filter: The normalized sinc function, the impulse response of a sinc-in-time filter and the frequency response of a sinc-in-frequency filter
The normalized sinc function, the impulse response of a sinc-in-time filter and the frequency response of a sinc-in-frequency filter
Sinc filter: The rectangular function, the frequency response of a sinc-in-time filter and the impulse response of a sinc-in-frequency filter
The rectangular function, the frequency response of a sinc-in-time filter and the impulse response of a sinc-in-frequency filter
Sinc filter: Frequency response in dB of moving average filters. Frequency plotted relative to sampling frequency 
  
    
      
        
          f
          
            S
          
        
      
    
    {\displaystyle f_{S}}
  
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Frequency response in dB of moving average filters. Frequency plotted relative to sampling frequency f S {\displaystyle f_{S}} .
Sinc filter: Frequency response of a 16-sample sum using 1000 Hz sampling frequency, extended to 4x the Nyquist frequency. Because the transfer function is periodic, this repeated pattern continues forever.
Frequency response of a 16-sample sum using 1000 Hz sampling frequency, extended to 4x the Nyquist frequency. Because the transfer function is periodic, this repeated pattern continues forever.

Worked examples

Example 1 — a first encounter with Sinc filter

Start with the simplest possible case. Write down what Sinc filter claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Sinc filter before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Sinc filter ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Sinc filter

In research
Sinc filter appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Sinc filter in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Sinc filter is common in secondary-school and first-year university syllabi. It links to neighbouring topics Digital signal processing, Filter frequency response, Filter theory, so understanding it makes those chapters shorter.
In everyday life
Look for Sinc filter outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Sinc filter in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Sinc filter means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Sinc filter out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Sinc filter in simple terms?

In signal processing, a sinc filter can refer to either a sinc-in-time filter whose impulse response is a sinc function and whose frequency response is rectangular, or to a sinc-in-frequency filter whose impulse response is rectangular and whose frequency response is a sinc function. Calling them a…

Why does Sinc filter matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Sinc filter?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Sinc filter.

Tags

  • Digital signal processing
  • Filter frequency response
  • Filter theory
  • Signal processing

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