Learning objective
Digital representation of sound: Describe the digital representation of sound in terms of: • sample resolution • sampling rate and the Nyquist theorem. Calculate sound sample sizes in bytes.
Read the explanation, check the common trap, then practise with flashcards and questions.
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Topic
Representing images, sound and other data
Subtopic
Digital representation of sound
Study support
Understand this objective
Quick explanation
Digital representation of sound: Describe the digital representation of sound in terms of: • sample resolution • sampling rate and the Nyquist theorem. Calculate sound sample sizes in bytes
- This point belongs to Representing images, sound and other data, especially Digital representation of sound.
- You need to be able to digital representation of sound: Describe the digital representation of sound in terms of: • sample resolution • sampling rate and the Nyquist theorem. Calculate sound sample sizes in bytes.
- Use the linked flashcards and practice questions to check recall, then practise applying the idea in an exam-style answer.
Why it matters
This objective helps connect Digital representation of sound to exam-style questions, flashcards, and revision notes for Representing images, sound and other data.
Quick student answer
What does sample resolution describe in a digital representation of sound?
Direct answer
The number of bits used to represent each sample
Key terms
- Sample resolution: The number of bits used to represent the value of each sound sample.
- Sampling rate: The number of samples taken from a sound each second.
Common trap
Forgetting to convert bits to bytes: After calculating the total number of bits, divide by 8 to convert the result to bytes.
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