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# Digital Filter Specifications - PowerPoint PPT Presentation

Digital Filter Specifications. We discuss in this course only the magnitude approximation problem There are four basic types of ideal filters with magnitude responses as shown below. Digital Filter Specifications.

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Presentation Transcript

• We discuss in this course only the magnitude approximation problem

• There are four basic types of ideal filters with magnitude responses as shown below

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• These filters are unealizable becausetheir impulse responses infinitely long non-causal

• In practice the magnitude response specifications of a digital filter in the passband and in the stopband are given with some acceptable tolerances

• In addition, a transition band is specified between the passband and stopband

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• For example the magnitude response of a digital lowpass filter may be given as indicated below

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• In the passband we require that with a deviation

• In the stopband we require that with a deviation

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Filter specification parameters

• - passband edge frequency

• - stopband edge frequency

• - peak ripple value in the passband

• - peak ripple value in the stopband

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• Practical specifications are often given in terms of loss function (in dB)

• Peak passband ripple

dB

• Minimum stopband attenuation

dB

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• In practice, passband edge frequency and stopband edge frequency are specified in Hz

• For digital filter design, normalized bandedge frequencies need to be computed from specifications in Hz using

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• Example - Let kHz, kHz, and kHz

• Then

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• The transfer function H(z) meeting the specifications must be a causal transfer function

• For IIR real digital filter the transfer function is a real rational function of

• H(z) must be stable and of lowest order N for reduced computational complexity

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• For FIR real digital filter the transfer function is a polynomial in with real coefficients

• For reduced computational complexity, degree N of H(z) must be as small as possible

• If a linear phase is desired, the filter coefficients must satisfy the constraint:

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• Advantages in using an FIR filter -

(1) Can be designed with exact linear phase,

(2) Filter structure always stable with quantised coefficients

• Disadvantages in using an FIR filter - Order of an FIR filter, in most cases, is considerably higher than the order of an equivalent IIR filter meeting the same specifications, and FIR filter has thus higher computational complexity

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FIR Digital Filter Design

Three commonly used approaches to FIR filter design -

(1)Windowed Fourier series approach

(2)Frequency sampling approach

(3) Computer-based optimization methods

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• The transfer function is given by

• The length of Impulse Response is N

• All poles are at .

• Zeros can be placed anywhere on the z-plane

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• Linear Phase:  The impulse response is required to be

• so that for N even:

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• for N odd:

• I) On we have for N even, and +ve sign

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• II) While for –ve sign

• [Note: antisymmetric case adds rads to phase, with discontinuity at ]

• III) For N odd with +ve sign

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• IV) While with a –ve sign

• [Notice that for the antisymmetric case to have linear phase we require

The phase discontinuity is as for N even]

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• The cases most commonly used in filter design are (I) and (III), for which the amplitude characteristic can be written as a polynomial in

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For phase linearity the FIR transfer function must have zeros outside the unit circle

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• To develop expression for phase response set transfer function

• In factored form

• Where , is real & zeros occur in conjugates

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• Let

where

• Thus

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• Expand in a Laurent Series convergent within the unit circle

• To do so modify the second sum as

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• So that

• Thus

• where

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• are the root moments of the minimum phase component

• are the inverse root moments of the maximum phase component

• Now on the unit circle we have

and

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• hence (note Fourier form)

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• Thus for linear phase the second term in the fundamental phase relationship must be identically zero for all index values.

• Hence

• 1) the maximum phase factor has zeros which are the inverses of the those of the minimum phase factor

• 2) the phase response is linear with group delay equal to the number of zeros outside the unit circle

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• It follows that zeros of linear phase FIR trasfer functions not on the circumference of the unit circle occur in the form

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(ii) Truncate to finite length. (This produces unwanted ripples increasing in height near discontinuity.)

(iii) Modify to

Weight w(n) is the window

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Commonly used windows

• Rectangular 1

• Bartlett

• Hann

• Hamming

• Blackman

• Kaiser

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• Kaiser window

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• Lowpass filter of length 51 and

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• In this approach we are given and need to find

• This is an interpolation problem and the solution is given in the DFT part of the course

• It has similar problems to the windowing approach

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• Amplitude response for all 4 types of linear-phase FIR filters can be expressed as

where

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• Modified form of weighted error function

where

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• Optimisation Problem - Determine which minimise the peak absolute value of

over the specified frequency bands

• After has been determined, construct the original and hence h[n]

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Solution is obtained via the Alternation Theorem

The optimal solution has equiripple behaviour consistent with the total number of available parameters.

Parks and McClellan used the Remez algorithm to develop a procedure for designing linear FIR digital filters.

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Kaiser’s Formula:

• ie N is inversely proportional to transition band width and not on transition band location

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• Hermann-Rabiner-Chan’s Formula:

where

with

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• Fred Harris’ guide:

where A is the attenuation in dB