DSP-product quantization error - overflow error

Understanding: What is quantization noise in the context of finite word length effects in DSP?

• a) Noise introduced during the quantization process
• b) Noise introduced during the amplification process
• c) Noise introduced during the filtering process
• d) Noise introduced during the ADC process

Applying: Which of the following methods can reduce the quantization noise in a digital signal processing system?

• a) Increasing the word length of the digital representation
• b) Decreasing the word length of the digital representation
• c) Adding more quantization levels
• d) Using a higher sampling rate

Remembering: What is the purpose of input quantization in a digital signal processing system?

• a) To convert analog signals to digital signals
• b) To convert digital signals to analog signals
• c) To reduce the quantization noise
• d) To amplify the input signal

Applying: Which of the following quantization methods has a higher quantization error?

• a) Uniform quantization
• b) Non-uniform quantization
• c) Both have the same quantization error
• d) Quantization error is not dependent on the method

Understanding: What is the effect of input quantization on the dynamic range of a digital signal processing system?

• a) It increases the dynamic range
• b) It decreases the dynamic range
• c) It has no effect on the dynamic range
• d) It depends on the quantization method used

Applying: Which of the following methods can increase the resolution of quantization in a digital signal processing system?

• a) Increasing the word length of the digital representation
• b) Decreasing the word length of the digital representation
• c) Increasing the quantization step size
• d) Decreasing the quantization step size

Remembering: What is the purpose of output quantization in a digital signal processing system?

• a) To convert analog signals to digital signals
• b) To convert digital signals to analog signals
• c) To add quantization noise to the output signal
• d) To amplify the output signal

Understanding: What is the relationship between quantization step size and quantization error in a digital signal processing system?

• a) Smaller quantization step size results in smaller quantization error
• b) Smaller quantization step size results in larger quantization error
• c) Quantization error is not dependent on the quantization step size
• d) Quantization error is directly proportional to the quantization step size