1. What is signal processing?
- A) The conversion of digital signals to analog
- B) Analysis, modification, and synthesis of signals
- C) Transmitting signals over long distances
- D) Storing signals in databases
Answer: B) Analysis, modification, and synthesis of signals
2. Which of the following is an example of a continuous-time signal?
- A) A digital clock display
- B) A temperature sensor’s analog output
- C) Binary data transmission
- D) Text messaging
Answer: B) A temperature sensor’s analog output
3. What does FFT stand for in signal processing?
- A) Fast Frequency Transform
- B) Frequency Function Table
- C) Fast Fourier Transform
- D) Fourier Frequency Transfer
Answer: C) Fast Fourier Transform
4. Which process converts a continuous-time signal into a discrete-time signal?
- A) Quantization
- B) Modulation
- C) Sampling
- D) Filtering
Answer: C) Sampling
5. In digital signal processing (DSP), what is the purpose of quantization?
- A) Increasing the signal frequency
- B) Representing continuous amplitudes with discrete levels
- C) Filtering out unwanted frequencies
- D) Reducing noise in the signal
Answer: B) Representing continuous amplitudes with discrete levels
6. What is the Nyquist theorem used for in signal processing?
- A) To determine the maximum bandwidth
- B) To ensure no information is lost during sampling
- C) To improve signal-to-noise ratio
- D) To measure signal power
Answer: B) To ensure no information is lost during sampling
7. What is the result of undersampling a signal?
- A) Better noise immunity
- B) Aliasing
- C) Higher frequency resolution
- D) Reduced bandwidth
Answer: B) Aliasing
8. What is a low-pass filter used for?
- A) To pass low frequencies and block high frequencies
- B) To amplify high frequencies
- C) To block low frequencies and pass high frequencies
- D) To remove noise from signals
Answer: A) To pass low frequencies and block high frequencies
9. Which domain does the Fourier Transform operate in?
- A) Spatial domain
- B) Time domain
- C) Frequency domain
- D) Amplitude domain
Answer: C) Frequency domain
10. What is the main purpose of a Digital Signal Processor (DSP)?
- A) To amplify analog signals
- B) To process and manipulate digital signals in real-time
- C) To store large datasets
- D) To perform encryption
Answer: B) To process and manipulate digital signals in real-time
11. Which component is essential for converting analog signals into digital form?
- A) Digital-to-Analog Converter (DAC)
- B) Analog-to-Digital Converter (ADC)
- C) Modulator
- D) Filter
Answer: B) Analog-to-Digital Converter (ADC)
12. What is the primary advantage of digital signal processing over analog signal processing?
- A) Simplicity of implementation
- B) Ability to work with continuous signals
- C) Higher precision and flexibility
- D) Reduced power consumption
Answer: C) Higher precision and flexibility
13. What is the Z-transform used for in DSP?
- A) Analyzing systems in the time domain
- B) Solving differential equations
- C) Analyzing discrete-time signals and systems
- D) Converting analog signals to digital
Answer: C) Analyzing discrete-time signals and systems
14. What is convolution in signal processing?
- A) The product of two signals
- B) Integration of one signal with the reverse of another
- C) Filtering of high frequencies
- D) Summation of two discrete signals
Answer: B) Integration of one signal with the reverse of another
15. Which of the following is an application of signal processing?
- A) Audio compression
- B) Image enhancement
- C) Data communication
- D) All of the above
Answer: D) All of the above
