UNIFORM - NON UNIFORM QUANTIZATION

What is quantization?

• A. The process of converting a continuous signal into a discrete signal
• B. The process of converting a discrete signal into a continuous signal
• C. The process of amplifying a signal
• D. The process of filtering a signal

What is uniform quantization?

• A. A type of quantization where the quantization intervals are equally spaced
• B. A type of quantization where the quantization intervals are not equally spaced
• C. A type of quantization that only works for audio signals
• D. A type of quantization that only works for image signals

What is non-uniform quantization?

• A. A type of quantization where the quantization intervals are not equally spaced
• B. A type of quantization where the quantization intervals are equally spaced
• C. A type of quantization that only works for audio signals
• D. A type of quantization that only works for image signals

Why is uniform quantization preferred over non-uniform quantization?

• A. Because uniform quantization results in lower distortion for the same number of quantization levels
• B. Because non-uniform quantization results in lower distortion for the same number of quantization levels
• C. Because uniform quantization can only be applied to audio signals
• D. Because non-uniform quantization can only be applied to image signals

What is the purpose of quantization in signal processing?

• A. To reduce the number of bits needed to represent a signal
• B. To increase the number of bits needed to represent a signal
• C. To make a signal more continuous
• D. To make a signal more noisy