d) With the help of N = 8, explain radix-2 decimation-in-frequency (DIF) FFT algorithm for computation of DFT. Give the computational efficiency of FFT over DFT. e) Realize the given system in direct form-l y[n] = 0.5y[n-1] -0.25y[n-2]+x[n]+ 0.4 x[n-1].
d) With the help of N = 8, explain radix-2 decimation-in-frequency (DIF) FFT algorithm for computation of DFT. Give the computational efficiency of FFT over DFT. e) Realize the given system in direct form-l y[n] = 0.5y[n-1] -0.25y[n-2]+x[n]+ 0.4 x[n-1].
Introductory Circuit Analysis (13th Edition)
13th Edition
ISBN:9780133923605
Author:Robert L. Boylestad
Publisher:Robert L. Boylestad
Chapter1: Introduction
Section: Chapter Questions
Problem 1P: Visit your local library (at school or home) and describe the extent to which it provides literature...
Related questions
Question
Subject: Digital signal processing (DSP)
![d)
With the help of N = 8, explain radix-2 decimation-in-frequency (DIF) FFT algorithm for
computation of DFT. Give the computational efficiency of FFT over DFT.
e) Realize the given system in direct form-l y[n] = 0.5y[n-1] -0.25y[n-2]+x[n]+ 0.4 x[n-1].](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F74875406-2529-4403-917d-6caff53302c7%2Fd77131a2-693f-4e86-8432-98581619f5a4%2Fuo44qep_processed.jpeg&w=3840&q=75)
Transcribed Image Text:d)
With the help of N = 8, explain radix-2 decimation-in-frequency (DIF) FFT algorithm for
computation of DFT. Give the computational efficiency of FFT over DFT.
e) Realize the given system in direct form-l y[n] = 0.5y[n-1] -0.25y[n-2]+x[n]+ 0.4 x[n-1].
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