Digital Signal Processing Assignment: Exercises and Questions, Exams of Digital Signal Processing

IT IS A QUESTION PAPER OF DIGITAL SIGNAL PROCESSING PROPOSED BY DR TAYYAB DIN MEMON ELECTRONICS DEPARTMENT MUET

Typology: Exams

2017/2018

Uploaded on 03/28/2018

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MEHRAN UNIVERSITY OF ENGINEERING AND TECHNOLOGY,
JAMSHORO
Due Dated: 09-03-2018 Marks: 10
Note: SOLVE ALL QUESTIONS.
1. Given a DSP system in which a sampling rate of 8,000 Hz is used and the anti-
aliasing filter is a Butterworth low pass filter with a cutoff Frequency of 3.2 kHz,
determine the order of the Butterworth low pass filter for the percentage of
aliasing level at the cutoff frequency required to be less than 10%.
2. Consider a digital sequence sampled at the rate of 20,000 Hz. If we use the
8,000-point DFT to compute the spectrum, determine
a. the frequency resolution
b. The folding frequency in the spectrum.
3. Given the following data sequence with a length of 6,
x(0)=0, x(1)=1, x(2)=0, x(3)= -1, x(4)= 0, x(5)=1
Compute the windowed sequence xw(n) using the
a. Triangular window function.
b. Hamming window function.
c. Hanning window function.
4. Given a sequence x(n) for 0 ≤ n ≥ 3,where x(0) -4, x(1)=3, x(2)=3, and x(3)=1,
evaluate its DFT X(k)using the decimation-in-frequency FFT method, and
determine the number of complex multiplication.
5. A system is described by the difference equation
( ) ( ) ( ) ( ) ( )
Determine the solution when initial conditions are y(-1) =1 and y(-2)= 3.
6. Given the following difference equation with the input-output relationship of a
certain initially relaxed DSP system( all initial conditions are zero),
ASSIGNMENT DIGITAL SIGNAL PROCESSING
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MEHRAN UNIVERSITY OF ENGINEERING AND TECHNOLOGY,

JAMSHORO

Due Dated: 09-03-2018 Marks: 10

Note: SOLVE ALL QUESTIONS.

  1. Given a DSP system in which a sampling rate of 8,000 Hz is used and the anti- aliasing filter is a Butterworth low pass filter with a cutoff Frequency of 3.2 kHz, determine the order of the Butterworth low pass filter for the percentage of aliasing level at the cutoff frequency required to be less than 10%.
  2. Consider a digital sequence sampled at the rate of 20,000 Hz. If we use the 8,000-point DFT to compute the spectrum, determine a. the frequency resolution b. The folding frequency in the spectrum.
  3. Given the following data sequence with a length of 6, x(0)=0, x(1)=1, x(2)=0, x(3)= -1, x(4)= 0, x(5)= Compute the windowed sequence xw(n) using the

a. Triangular window function. b. Hamming window function. c. Hanning window function.

  1. Given a sequence x(n) for 0 ≤ n ≥ 3,where x (0) -4, x(1)=3, x(2)=3, and x(3)=1, evaluate its DFT X(k)using the decimation-in-frequency FFT method, and determine the number of complex multiplication.
  2. A system is described by the difference equation

( ) ( ) ( ) ( ) ( )

Determine the solution when initial conditions are y(-1) =1 and y(-2)= 3.

  1. Given the following difference equation with the input-output relationship of a certain initially relaxed DSP system( all initial conditions are zero),

ASSIGNMENT DIGITAL SIGNAL PROCESSING

a. Find impulse response sequence y(n) due to an impulse sequence δ(n); b. Find the output response of system when a unit step function u(n) is applied.

  1. Given the following difference equation,

( ) ( ) ( ) a. Find the H(z); b. Determine the impulse response y(n) if the input is x(n) =δ(b); c. Determine the step response y(n) if the input is x(n) =u(n).

  1. Given the following digital system with a sampling rate 8,000Hz, ( ) ( ) ( ) a. Determine the frequency response; b. Calculate and plot the magnitude and phase frequency responses ; c. Determine the filter type, based on the magnitude frequency response.
  2. Given the first order-order IIR system ( ) Realize ( ) and develop the difference equation using the following forms; a. Direct-form I b. Direct-form II
  3. Design a 31-tap high pass FIR filter whose cutoff frequency is 2,500Hz using the following window functions, Assume that the sampling frequency is 8,000Hz. a. Hanning Window function b. Hamming Window function c. Blackman window function. List the FIR coefficient and plot the frequency responses for each design

Q – 11: An adaptive filter is a filter that self-adjusts its transfer function according to an optimization algorithm driven by an error signal. A non-adaptive filter has a static transfer function. In this regards, answer the following:

a. Draw the adaptive filter system identification model and describe each block. Write the mathematical mode of LMS algorithm and describe each parameters design perspective. b. Given the DSP system for the noise cancellation application shown in figure 2, using an adaptive filter with two coefficients: a. Set up the LMS algorithm for the adaptive filter.