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Questions and Answers

Analog signals are continuous.

True

Which one does not involve analog signals?

  • your position (when moving between places)
  • light
  • photo captured on your phone (correct)
  • pressure
  • The process of transforming analog data into the digital format is called what?

    Analog-to-digital conversion

    What does the process of digitization involve?

    <p>Sampling</p> Signup and view all the answers

    What does the sampling rate determine?

    <p>How many values (samples) are kept per second interval</p> Signup and view all the answers

    If we pick 100 samples from a one-second long interval, what is our sampling rate?

    <p>100 Hz</p> Signup and view all the answers

    The Nyquist theorem states that a sinusoidal function in time or distance can be regenerated without loss of information as long as it is sampled at a frequency greater than or equal to twice per cycle.

    <p>True</p> Signup and view all the answers

    What is the highest frequency being recorded called?

    <p>The Nyquist Frequency or Nyquist Limit</p> Signup and view all the answers

    What sampling rate would you use to record sounds from an elephant, which is known to use frequencies as low 40 Hz?

    <p>At least 80 Hz</p> Signup and view all the answers

    What is the Nyquist frequency for recording an elephant's sounds using a sampling rate of 80 Hz?

    <p>40 Hz</p> Signup and view all the answers

    What is the Nyquist frequency for recording a bat's high-pitched sounds, which are known to use frequencies as high as 150 kHz?

    <p>150 kHz</p> Signup and view all the answers

    What is the Nyquist frequency for recording a bat's high-pitched sounds using a sampling rate of 300 kHz?

    <p>150 kHz</p> Signup and view all the answers

    Human speech is mostly distributed in frequencies under 10 kHz. What sampling rate would you pick to capture frequencies up to this frequency?

    <p>20,000 Hz</p> Signup and view all the answers

    To sample the wave shown in the figure, what is the minimum number of samples you would take?

    <p>10</p> Signup and view all the answers

    Sampling at a rate lower than the Nyquist frequency can lead to aliasing.

    <p>True</p> Signup and view all the answers

    What is a technique used to avoid aliasing before sampling?

    <p>Anti-aliasing filter</p> Signup and view all the answers

    Most digital recorders today automatically perform anti-aliasing filtering.

    <p>True</p> Signup and view all the answers

    Downsampling and resampling always need an anti-aliasing filter.

    <p>True</p> Signup and view all the answers

    Quantization is another issue related to digitization.

    <p>True</p> Signup and view all the answers

    Quantization refers to how accurately we should represent the Y-axis of a signal.

    <p>True</p> Signup and view all the answers

    Analog signals have infinite values.

    <p>True</p> Signup and view all the answers

    Digital signal processing deals with infinite numbers.

    <p>False</p> Signup and view all the answers

    What is the term used for the number of levels used to represent the amplitude in a digital signal?

    <p>Sample size or Bit depth</p> Signup and view all the answers

    A larger sample size generally leads to a more faithful representation of the analog signal.

    <p>True</p> Signup and view all the answers

    A larger sample size requires less processing power.

    <p>False</p> Signup and view all the answers

    What is the typical sample size used for acoustic analyses?

    <p>16-bit</p> Signup and view all the answers

    Quantization noise is present in every digital representation of an analog signal, regardless of the sample size.

    <p>True</p> Signup and view all the answers

    The Fourier transform breaks down a complex wave into its component sine waves.

    <p>True</p> Signup and view all the answers

    Fast Fourier Transform (FFT) was proposed by Jean Baptiste Joseph Fourier.

    <p>False</p> Signup and view all the answers

    FFT uses shortcuts to make the Fourier transform process faster.

    <p>True</p> Signup and view all the answers

    A sine wave is a representation of a periodic function, repeating over time.

    <p>True</p> Signup and view all the answers

    Sine waves are closely related to right-angled triangles.

    <p>True</p> Signup and view all the answers

    In the sine wave, the length of the hypotenuse of the triangle determines the amplitude of the wave

    <p>True</p> Signup and view all the answers

    What is the actual amplitude of a sine wave?

    <p>The product of the sine value and the length of the radius</p> Signup and view all the answers

    Study Notes

    Digital Signal Processing

    • Digital signal processing (DSP) is a technique to convert analog signals into digital format.
    • A presentation was given by Jahurul Islam for LING 313 in the 2024W1 term.
    • Analog signals are continuous, capable of having infinite values over time.
    • Digitization converts continuous data into discrete values.
    • Analog signals are difficult to store and process due to infinite decimal points.
    • Digitization preserves some values (samples) and ignores others.
    • The process of converting analog to digital is known as analog-to-digital conversion.
    • Digitization involves sampling, which extracts values at specific time points, and quantization, which approximates values to discrete steps.
    • Sampling rate is the number of samples taken per second.
    • Nyquist's theorem states a sinusoidal function can be reconstructed accurately if sampled at a rate twice its frequency.
    • A higher sampling rate captures more of the original signal, but increased processing is required.
    • Aliasing occurs when the sampling rate is too low, causing the reconstructed signal to be inaccurate, e.g., seeing a wave that is lower frequency than the real frequency.
    • An anti-aliasing filter removes higher frequencies to prevent aliasing.
    • Downsampling and resampling involve adjusting the sampling rate, usually requiring preprocessing.
    • Quantization is the process of mapping continuous values to a finite set of discrete levels.
    • Quantization error leads to noise due to the approximation of values.
    • Sample size or bit depth determines the number of quantization levels and the accuracy of the resulting digital signal; higher bit depth, more accurate the result.
    • Fourier Transform (FT) decomposes complex signals into component frequencies.
    • FFT (Fast Fourier Transform) is a computationally efficient algorithm for FT calculation.
    • Sine functions are used as building blocks of periodic signals.

    Analog Signals

    • Analog signals are continuous and represent continuous variations of a physical quantity.
    • Analog signals are continuous in time and amplitude.
    • Examples of analog signals include sound waves (speech), temperature measurements, and light signals.
    • Analyzing analog signals with infinite decimal points can be slow.
    • To leverage computer processing speed, analog signals must be converted to digital.
    • The presentation used a Ferris wheel as an example of sine waves, pointing out the relationship between the rotation angle and sine wave values.

    Overview of Concepts

    • The slides cover an overview of concepts in Digital Signal Processing, including analog signals, digitization, sampling, quantization, Fourier transform, and sine functions.
    • Included details about converting analog data to digital format termed analog-to-digital conversion and the impact of sample size and bit depth.
    • It illustrates various concepts such as analog-to-digital (A/D) conversion using examples.

    Specific Examples

    • Elephants communicate at low frequencies (40Hz).
    • Bats use high frequencies (150kHz) for echolocation.
    • Human speech data typically falls within the 10 kHz range.
    • The presentation employed various multimedia and visual components including graphs.

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