DSP-Fixed point and floating point number representation

Understanding: What are the two main types of number representation used in digital signal processing (DSP)?

• a) Fixed point and floating point
• b) Integer and complex number representation
• c) Binary and decimal number representation
• d) Real and imaginary number representation

Applying: Which type of number representation is commonly used in DSP systems due to its lower hardware complexity and cost?

• a) Fixed point
• b) Floating point
• c) Integer
• d) Complex number

Applying: Which of the following number representations is more suitable for DSP applications that require high precision calculations?

• a) Fixed point
• b) Floating point
• c) Integer
• d) Complex number

Applying: Which of the following operations can cause overflow or saturation in fixed point arithmetic?

• a) Addition
• b) Subtraction
• c) Multiplication
• d) Division

Understanding: What is the main advantage of using floating point number representation in DSP?

• a) Higher precision
• b) Lower hardware complexity
• c) Faster computation
• d) Lower quantization noise

Applying: Which type of number representation is suitable for DSP applications that require a wide dynamic range and high precision?

• a) Fixed point
• b) Floating point
• c) Integer
• d) Complex number

Understanding: What is the main disadvantage of using fixed point number representation in DSP?

• a) Lower precision
• b) Higher hardware complexity
• c) Slower computation
• d) Higher quantization noise