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electonic guitar tuner.

Apr 03, 2018

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    Target Specifications

    For use with acoustic guitar.

    Accurate to 10 cents (musical term) for

    entire range of guitar pitches

    Easy to read output LED display

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    Background - Musical terms

    1 octave = 12 pitches

    octaves are numbered (lowest to highest)

    according to range of piano.

    12 pitches: A, A#, B, C, C#, D, D#, E, F,

    F#, G, G#

    100 cents defined between each pitch

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    Background - Guitar

    Acoustic guitar ranges from E2 (pitch E in pianos

    second octave) to C#6.

    Plucked string: Fundamental frequency andharmonics

    Guitar Spectrum: fundamental frequency has

    lower power than some higher harmonics.

    Lower frequencies have more power in harmonics than

    higher frequencies.

    Demonstrates acoustic non-linearity of string

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    Guitar Frequency Spectrum

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    Design: Block Diagram

    3 main components: input, DSP, output

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    Design: Input

    Microphone to receive signal

    Possibilities: dynamic, condenser, pressure

    gradient microphone stylesDecision: dynamic

    Why? Frequency response and range, availability

    Amplifier: To increase microphoneamplitude (output Vpp ~ 5-10mV)

    op-amp with gain of 100

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    Design: Digital Signal Processor

    Motorola 56302 DSP Evaluation Board

    DSP board provides:

    analog-to-digital conversion

    Fast Fourier Transform (FFT) of signal

    lookup tables for frequency conversion to pitch

    and centsdigital output to LED display

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    Design: Digital Signal Processor

    DSP Algorithm1.) Ready State for continuous, real-time

    system

    check input amplitude below threshold, stay in ready state

    above threshold, proceed to FFT

    2.) Take 1024 sample FFT. Store squaredmagnitudes in memory.

    FOR MORE INFO...

    See Handout for flowchart, DSP Algorithm.

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    Design: Digital Signal Processor

    DSP Algorithmcont.3.) Start with ninth index, compare

    magnitudes to a new threshold, which is set

    above the level of the noise.4.) Find first peak in FFT data. This

    corresponds to the fundamental frequency.

    5.) Store this index value, use it for pitch andcents lookup tables.

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    Design: Digital Signal Processor

    DSP Algorithmcont.6.) Write corresponding values to the Data

    register for Port B.

    7.) Port B outputs values to display.

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    Design: Output

    Digital high/low values from Port B of DSP

    board

    Output display:

    hexidecimal display for note letters

    1 LED indicating a sharp

    10 LEDs: 5 corresponding to sharpness in unitsof 10 cents, 5 corresponding to flatness

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    Verification

    Test signals (pure sine and square waves)

    from function generator.

    Tested final circuit with guitar andcompared output to commercial guitar

    tuner.

    Verified correct identification of peak frommemory contents.

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    Design Cost

    Parts cost:

    Item: Cost:

    Motorola DSP + Eval. $165.00

    Amplifier $2.00

    11 LED's $5.00

    Hexadecimal Display $2.00

    Microphone $120.00

    Misc. Comp. $2.00

    Total Parts: $296.00

    Labor: $3600.00

    Complete Cost: $3,896.00

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    Summary

    Designed and implemented tuner.

    Accurate within approximately 10 cents.

    Accuracy could be increased by taking

    longer FFT.

    Lower sampling rate

    Easily Marketable