Digital Signal Processing MCQ
Master the fundamentals and advanced concepts of Digital Signal Processing with comprehensive DSP MCQs on ExamVibe. This section includes topic-wise multiple-choice questions covering discrete-time signals and systems, sampling theory, Z-transform, discrete Fourier transform (DFT), fast Fourier transform (FFT), digital filters, signal analysis, convolution, correlation, frequency response, and DSP applications. Each question is accompanied by detailed answers and explanations to help students and aspirants understand key concepts, improve analytical thinking, and strengthen problem-solving skills. Regular practice enhances technical knowledge and exam readiness for engineering courses and competitive examinations. Whether you are preparing for GATE, ESE, SSC JE, RRB JE, university exams, or technical interviews, these Digital Signal Processing MCQs provide an effective way to assess your understanding, identify weak areas, and achieve better academic and professional results.
Q1.
What is Digital Signal Processing (DSP)?
A. Processing of analog signals only
B. Processing of signals using digital techniques
C. Mechanical signal processing
D. Chemical signal processing
📘 View Explanation
Correct Answer:
B
DSP deals with analysis and manipulation of signals using digital systems.
Q2.
What is sampling in DSP?
A. Signal amplification
B. Conversion of continuous signal into discrete samples
C. Noise removal only
D. Power conversion
📘 View Explanation
Correct Answer:
B
Sampling converts analog signals into discrete-time signals.
Q3.
What is quantization in DSP?
A. Increasing frequency
B. Mapping sampled values to discrete levels
C. Removing signal
D. Amplifying signal
📘 View Explanation
Correct Answer:
B
Quantization converts amplitude into finite levels.
Q4.
What is aliasing?
A. Signal amplification
B. Distortion due to undersampling
C. Noise reduction
D. Power gain
📘 View Explanation
Correct Answer:
B
Aliasing occurs when sampling rate is too low.
Q5.
What is Nyquist theorem?
A. Sampling below signal frequency
B. Sampling at twice the highest frequency
C. Power theorem
D. Noise theorem
📘 View Explanation
Correct Answer:
B
Nyquist rate avoids aliasing.
Q6.
What is discrete-time signal?
A. Continuous signal
B. Signal defined at discrete time intervals
C. Mechanical signal
D. Power signal
📘 View Explanation
Correct Answer:
B
Discrete signals exist at sampled points.
Q7.
What is digital filter?
A. Analog amplifier
B. System that removes unwanted frequency components
C. Power generator
D. Voltage source
📘 View Explanation
Correct Answer:
B
Digital filters process signals digitally.
Q8.
What is FIR filter?
A. Infinite Impulse Response filter
B. Finite Impulse Response filter
C. Fast Input Response filter
D. Fixed Input Relay filter
📘 View Explanation
Correct Answer:
B
FIR filters have finite duration response.
Q9.
What is IIR filter?
A. Infinite Impulse Response filter
B. Instant Input Response filter
C. Internal Input Response filter
D. Integrated Input Relay filter
📘 View Explanation
Correct Answer:
A
IIR filters have feedback and infinite response.
Q10.
What is convolution in DSP?
A. Signal deletion
B. Mathematical operation combining two signals
C. Power increase
D. Noise removal only
📘 View Explanation
Correct Answer:
B
Convolution is used for filtering signals.
Q11.
What is FFT?
A. Fast Fourier Transform
B. Finite Frequency Technique
C. Fast Filter Tool
D. Frequency Flow Transfer
📘 View Explanation
Correct Answer:
A
FFT converts signal to frequency domain.
Q12.
What is DFT?
A. Discrete Fourier Transform
B. Digital Frequency Tool
C. Data Flow Transfer
D. Dynamic Fourier Time
📘 View Explanation
Correct Answer:
A
DFT converts discrete signal to frequency domain.
Q13.
What is time domain?
A. Frequency representation
B. Signal representation over time
C. Power domain
D. Noise domain
📘 View Explanation
Correct Answer:
B
Time domain shows signal variation over time.
Q14.
What is frequency domain?
A. Time representation
B. Signal represented in frequencies
C. Power domain
D. Voltage domain
📘 View Explanation
Correct Answer:
B
Frequency domain shows spectral components.
Q15.
What is windowing in DSP?
A. Signal amplification
B. Reducing spectral leakage
C. Power increase
D. Noise creation
📘 View Explanation
Correct Answer:
B
Windowing reduces edge effects in signals.
Q16.
What is spectral leakage?
A. Perfect frequency representation
B. Spread of signal energy across frequencies
C. Noise removal
D. Signal gain
📘 View Explanation
Correct Answer:
B
Leakage occurs due to finite signal length.
Q17.
What is Z-transform?
A. Time domain transform
B. Mathematical tool for discrete signals
C. Power transform
D. Noise transform
📘 View Explanation
Correct Answer:
B
Z-transform analyzes discrete systems.
Q18.
What is system in DSP?
A. Hardware only
B. Process that transforms input signal to output
C. Memory unit
D. Power supply
📘 View Explanation
Correct Answer:
B
System processes input signals.
Q19.
What is linear system?
A. Non proportional system
B. System obeying superposition principle
C. Random system
D. Non-causal system
📘 View Explanation
Correct Answer:
B
Linear systems follow additivity and scaling.
Q20.
What is causal system?
A. Depends on future inputs
B. Depends only on present and past inputs
C. Random system
D. Non-linear system
📘 View Explanation
Correct Answer:
B
Causal systems do not use future inputs.
Q21.
What is stability in DSP system?
A. Uncontrolled output
B. Bounded output for bounded input
C. Infinite output
D. Random output
📘 View Explanation
Correct Answer:
B
Stable systems give bounded output.
Q22.
What is impulse response?
A. System output to zero input
B. Output of system for impulse input
C. Power response
D. Noise response
📘 View Explanation
Correct Answer:
B
Impulse response defines system behavior.
Q23.
What is sampling theorem condition?
A. Sampling less than signal frequency
B. Sampling greater than twice highest frequency
C. Random sampling
D. No sampling required
📘 View Explanation
Correct Answer:
B
Nyquist condition avoids aliasing.
Q24.
What is discrete convolution?
A. Signal multiplication only
B. Summation of shifted signals
C. Power addition
D. Noise removal only
📘 View Explanation
Correct Answer:
B
Convolution combines discrete signals.
Q25.
What is Fourier series?
A. Digital conversion tool
B. Representation of periodic signals using sine and cosine
C. Noise filter
D. Power tool
📘 View Explanation
Correct Answer:
B
Fourier series represents periodic signals.
Q26.
What is sampling frequency?
A. Voltage level
B. Number of samples per second
C. Power level
D. Current level
📘 View Explanation
Correct Answer:
B
Sampling frequency defines sample rate.
Q27.
What is reconstruction in DSP?
A. Signal deletion
B. Conversion of digital signal back to analog
C. Power loss
D. Noise addition
📘 View Explanation
Correct Answer:
B
Reconstruction rebuilds analog signal.
Q28.
What is anti-aliasing filter?
A. Signal amplifier
B. Filter that removes high frequencies before sampling
C. Power generator
D. Noise generator
📘 View Explanation
Correct Answer:
B
Prevents aliasing before sampling.
Q29.
What is block diagram in DSP?
A. Circuit diagram only
B. Graphical representation of system components
C. Power chart
D. Noise graph
📘 View Explanation
Correct Answer:
B
Block diagrams represent DSP systems.
Q30.
What is digital system advantage?
A. Low accuracy
B. High noise immunity
C. No processing
D. High distortion
📘 View Explanation
Correct Answer:
B
Digital systems are less affected by noise.
