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Digital Filters Lecture and Solution -DSP Digital Signal Processing EIE315 4.pptx

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Digital Filters Lecture and Solution -DSP Digital Signal Processing EIE315

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Digital Signal Processing
EIE 515
MODULE 7
Digital Filters
Lecturer(s): Dr. S.A Daramola, Shobayo Olamilekan, Etinosa Noma-Osaghae.

, Learning Outcomes
 Understand the principles of the Finite Impulse Response (FIR) filter design
 Investigate the Fourier Transform and Window methods for the realization
Finite Impulse Response (FIR) filters.
 Realize FIR filters using the Transversal Form.
 Understand the principles of the Infinite Impulse Response (IIR) filter design.
 Investigate conversion of analogue (IIR) filters in to digital (IIR) filters using
the Bilinear Transformation Method.
 Design the Butterworth and Chebyshev low pass, high pass, band pass and
band stop filters.
 Realize IIR filters using the Direct Form 1, Direct Form II, Cascade and
Parallel methods.
 State at least five differences between IIR and FIR filters.

,The FIR filter is completely described by the
input-output equation:



FIR filter coefficients
FIR filter length
The transfer function is given as:

, PRINCIPLES OF THE FINITE IMPULSE
RESPONSE (FIR) FILTER DESIGN
• Its transfer function has a constant term and all other terms
each have a negative power of z.
• All the poles of the finite response filter are at the origin and
thus its stability is guaranteed.
• Its impulse response has a finite number of terms.
• To design the FIR filter, multiply the filter inputs by their
corresponding coefficients and accumulate them.
• The implementation of the FIR filter is pretty straight forward.
• The FIR filter has a linear phase property . This shows that all
passed frequencies will have the same constant delay at the
output, which equals M samples. Hence, Phase distortion is
avoided.

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