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Which of the following criterion can be used to optimize the M+1 filter coefficients?

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Which of the following criterion can be used to optimize the M+1 filter coefficients?

(a) Pade approximation method

(b) Least squares error criterion

(c) Least squares error criterion & Pade approximation method

(d) None of the mentioned

I got this question during a job interview.

Asked question is from FIR Least Squares Inverse Filters topic in portion Digital Filters Design of Digital Signal Processing

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Right choice is (b) Least squares error criterion

Easy explanation: We can use the least squares error criterion to optimize the M+1 coefficients of the FIR filter.

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