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FIR Filter Design (Windowing
Technique)
The basic idea behind the window design is to choose a proper
ideal frequency-selective filter (which always has a noncausal,
infinite-duration impulse response) and then to truncate (or
window) its impulse response to obtain a linear-phase and causal
FIR filter.
Therefore the emphasis in this method is on selecting an
appropriate windowing function and an appropriate ideal filter. We
will denote an ideal frequency-selective filter by ,which has
a unity magnitude gain and linear-phase characteristics over its
passband, and zero response over its stopband.
( )j
dH e 
The impulse response will be
• jjkjjkjkj
This multiplication in time domain implies
convolution in frequency domain. Because it is one
of the properties of DTFT, DFT or Z-Transform
Commonly used windows
Matlab Implimentation

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Fir filter design (windowing technique)

  • 1. FIR Filter Design (Windowing Technique) The basic idea behind the window design is to choose a proper ideal frequency-selective filter (which always has a noncausal, infinite-duration impulse response) and then to truncate (or window) its impulse response to obtain a linear-phase and causal FIR filter. Therefore the emphasis in this method is on selecting an appropriate windowing function and an appropriate ideal filter. We will denote an ideal frequency-selective filter by ,which has a unity magnitude gain and linear-phase characteristics over its passband, and zero response over its stopband. ( )j dH e 
  • 3. • jjkjjkjkj This multiplication in time domain implies convolution in frequency domain. Because it is one of the properties of DTFT, DFT or Z-Transform
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.