Pearson Edexcel · GCSE · Computer Science

    Course version: 1CP2 · Version from Sept 2020

    Understand how analogue sound is represented in binary (amplitude, sample…

    Full specification wording

    Data representation: 2.2.3 understand how analogue sound is represented in binary (amplitude, sample rate, bit depth, sample interval)

    Analogue sound is a continuously changing pressure wave, so a computer must capture it as discrete measurements.

    Checked against the Pearson Edexcel 1CP2 specification (opens in a new tab) on .

    • Point 3 of 4
    • 4 key terms

    Study notes

    From the checked teaching notes for this specification point.

    The idea

    Analogue sound is a continuously changing pressure wave, so a computer must capture it as discrete measurements. At regular moments the microphone voltage is measured and each measurement is stored as a binary number. Amplitude is the height of the wave at that instant, so it sets the value recorded. Sample interval is the time gap between measurements, and sample rate is how many samples are taken each second, so a shorter interval gives a higher rate. Bit depth is the number of bits used for each sample, so it fixes how many different amplitude levels can be coded. For example, a rate of 44 100 samples per second with a bit depth of 16 bits gives 65 536 possible levels per sample. More samples and more bits give a closer copy of the original wave, but the file needs more storage.

    What earns the marks

    • Amplitude is the size or height of the sound wave at the moment a sample is taken, and it determines the binary value stored for that sample.
    • Sample interval is the time between one sample and the next; a shorter interval means more samples are taken in each second.
    • Sample rate is the number of samples taken per second, so it is the reciprocal of the sample interval.
    • Bit depth is the number of bits used to store each sample, and it determines how many distinct amplitude levels can be represented.
    • A higher sample rate captures faster changes in the wave, and a greater bit depth reduces the rounding error between the stored level and the true amplitude.
    • Increasing sample rate or bit depth improves the accuracy of the representation but increases the number of bits needed to store the sound.

    Common mistakes and how to put them right

    • Confusing sample rate with bit depth.

      Put it right: Sample rate is how often measurements are taken each second, while bit depth is how many bits each measurement uses.

    • Thinking amplitude is the number of samples per second.

      Put it right: Amplitude is the height of the wave at a sample point, not a count of samples.

    • Believing a higher bit depth makes the sound play faster.

      Put it right: Bit depth changes the number of amplitude levels, not the playback speed.

    • Treating sample interval and sample rate as unrelated.

      Put it right: They are reciprocals, so halving the interval doubles the rate.

    Exam tips

    • Link each term to its effect: amplitude to the stored value, sample rate to how often values are taken, bit depth to how many levels exist.
    • Use the reciprocal relationship when a question gives a sample interval and asks for a rate, or the reverse.
    • Check whether a question asks about quality or file size, because higher sample rate and bit depth improve quality but increase storage.

    Try the lesson

    The start of the Data representation: 2.2.3 understand how analogue sound is represented in binary (amplitude, sample rate, bit depth, sample interval) lesson, made from checked teaching notes for this specification point.

    Have a go first

    A microphone signal is sampled 8 times every second. What is the sample interval, in seconds, between consecutive samples?

    Listen

    Analogue sound is a continuously changing pressure wave, so a computer must capture it as discrete measurements. At regular moments the microphone voltage is measured and each measurement is stored as a binary number. Amplitude is the height of the wave at that instant, so it sets the value recorded. Sample interval is the time gap between measurements, and sample rate is how many samples are taken each second, so a shorter interval gives a higher rate. Bit depth is the number of bits used for each sample, so it fixes how many different amplitude levels can be coded. For example, a rate of 44 100 samples per second with a bit depth of 16 bits gives 65 536 possible levels per sample. More samples and more bits give a closer copy of the original wave, but the file needs more storage. A strong answer earns marks for these points. Amplitude is the size or height of the sound wave at the moment a sample is taken, and it determines the binary value stored for that sample. Sample interval is the time between one sample and the next; a shorter interval means more samples are taken in each second. Sample rate is the number of samples taken per second, so it is the reciprocal of the sample interval. Bit depth is the number of bits used to store each sample, and it determines how many distinct amplitude levels can be represented. Exam tip: Link each term to its effect: amplitude to the stored value, sample rate to how often values are taken, bit depth to how many levels exist.

    See it

    A top-down flowchart. It starts with a node labelled Analogue sound wave, which leads to Measure voltage at regular moments. From there two branches go out. One branch goes to Amplitude: height of wave at that instant sets the value recorded. The other goes to Sample interval: time gap between measurements, which leads to Sample rate: samples taken each second; shorter interval gives higher rate. The Amplitude node leads to Each measurement stored as a binary number, which leads to Bit depth: bits per sample fixes number of amplitude levels. Both the Sample rate node and the Bit depth node lead to More samples and more bits give a closer copy, which finally leads to Closer copy needs more storage.
    It shows how an analogue sound wave is sampled into binary values, linking amplitude, sample interval, sample rate and bit depth to accuracy and storage.

    Key words

    Say what each word means before you turn the card.

    Amplitude

    Try answering aloud or in your head before turning the card.

    Sample interval

    Try answering aloud or in your head before turning the card.

    Sample rate

    Try answering aloud or in your head before turning the card.

    Bit depth

    Try answering aloud or in your head before turning the card.

    See every definition
    Amplitude
    The height of the sound wave at the moment a sample is taken, which determines the binary value stored for that sample.
    Sample interval
    The time between one sample and the next, where a shorter interval means more samples are taken in each second.
    Sample rate
    The number of samples taken per second, so it is the reciprocal of the sample interval.
    Bit depth
    The number of bits used to store each sample, which determines how many distinct amplitude levels can be represented.

    Label the diagram

    Some boxes have lost their names. Pick the right name for each number.

    The diagram again, with 3 boxes numbered instead of named. A top-down flowchart. It starts with a node labelled Analogue sound wave, which leads to Measure voltage at regular moments. From there two branches go out. One branch goes to Amplitude: height of wave at that instant sets the value recorded. The other goes to Sample interval: time gap between measurements, which leads to Sample rate: samples taken each second; shorter interval gives higher rate. The Amplitude node leads to Each measurement stored as a binary number, which leads to Bit depth: bits per sample fixes number of amplitude levels. Both the Sample rate node and the Bit depth node lead to More samples and more bits give a closer copy, which finally leads to Closer copy needs more storage.
    • 1Box 1

    • 2Box 2

    • 3Box 3

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