HIGHER INSTITUTE FOR PROFESSIONAL DEVELOPMENT AND TRAINING (HIPDET), BAMENDA
IN AFFILIATION WITH THE UNIVERSITY OF BAMENDA (UBa)
SECOND SEMESTER EXAMINATION 2024/2025
DEPARTMENT: ALL
SPECIALTY: ALL
COURSE Title: DIGITAL SIGNAL PROCESSING
COEFFICIENT : Paper Code :
DATE:………………………….. DURATION: 2HRS VENUE: HALL
LECTURER: Engr. NGWA JUDE A. OVERALL EXAM MARK: 70
INSTRUCTIONS: ANSWER ALL QUESTIONS
SECTION A (30mrks)
1. Which of the following is a fundamental operation in digital signal processing?
A. Amplification
B. Filtering
C. Modulation
D. Demodulation
2. What does the Nyquist theorem state?
A. Sampling rate must be less than bandwidth
B. Sampling rate must be greater than amplitude
C. Sampling rate 2 × max frequency in the signal
D. Signal must be sampled once per cycle
3. What is the result of convolving a signal with a delta function (impulse)?
A. Zero
B. Noise
C. The original signal
D. Inverted signal
4. Which transform converts a signal from time domain to frequency domain?
A. Laplace Transform
B. Fourier Transform
C. Hilbert Transform
D. Z-Transform
5. Which of the following is true about FIR filters?
A. They are recursive
B. They have a finite impulse response
C. They always have poles
D. They are always unstable
6. An IIR filter is preferred when:
A. Linear phase is required
B. Efficiency is required with fewer coefficients
C. Impulse response is finite
D. High delay is acceptable
7. Which of these uses feedback in its implementation?
A. FIR filters
B. IIR filters
C. Z-Transform
D. FFT algorithm
8. What causes aliasing in DSP?
A. Oversampling
B. Undersampling below Nyquist rate
C. Windowing
D. Filtering
9. Which domain does the z-transform operate in?
A. Frequency domain
B. Complex frequency domain
C. Time domain
D. Spatial domain
10. Which of the following defines quantization?
A. Time discretization
B. Amplitude approximation
C. Signal modulation
D. Frequency shifting
11. Which transform is best for analyzing non-stationary signals?
A. Fourier Transform
B. Short-Time Fourier Transform (STFT)
C. Laplace Transform
D. Hilbert Transform
12. Fast Fourier Transform (FFT) is used to:
A. Perform modulation
B. Speed up DFT computation
C. Generate time-domain signals
D. Sample analog signals
13. Which of the following best describes convolution?
A. Point-wise multiplication
B. Weighted sum of overlapping samples
C. Spectrum shifting
D. Phase rotation
14. To design a digital filter, the analog prototype is converted using:
A. Rectangular method
B. Laplace technique
C. Bilinear transformation
D. DFT method
15. What effect does increasing the number of bits in quantization have?
A. Increases noise
B. Reduces quantization error
C. Reduces sampling rate
D. Distorts the frequency
Section B (40 marks)
1. What do you understand by each of the following (8mrks)
a. Nyquist frequency b. Sampling Rate c. Nyquist rate d. Sampling frequency
2. Explain the relation between DFT & Z transform. (4mrks)
3. Diffentiate between the following (6mks)
a. energy and power signals b. Roidic & Periodic signals c) discrete signal and analog signal
4. explain the concept behind TD and FD (4mrks)
5. State and explain properties of ROC of z transform (4mrks)
6. Draw and explain the block diagram explaining the elements of a DSP system. (8marks)
7. Describe the applications of DSP in various fields.(5marks) any 5
