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Create a LabVIEW VI to experiment with ring modulation (also called amplitude modulation, or AM), and develop a LabVIEW VI to shift the pitch of a speech signal using the single-sideband modulation technique.
This module refers to LabVIEW, a software development environment that features a graphical programming language. Please see the LabVIEW QuickStart Guide module for tutorials and documentation that will help you:
•Apply LabVIEW to Audio Signal Processing
•Get started with LabVIEW
•Obtain a fully-functional evaluation edition of LabVIEW

Overview

Ring modulation (AM) is an audio special effect that produces two frequency-shifted replicas of the spectrum of a source signal, with one replica shifted to higher frequency and the other replica to a lower frequency. Single-sideband AM (SSB-AM) provides a way to shift the source signal's spectrum higher or lower but without the additional replica. SSB-AM provides one way toimplement a pitch shifter , an audio special effect that shifts the frequency of speech, singing, or a musical instrument to a higher or lower frequency.

In this project, use LabVIEW to implement several types of ring modulators and a pitch shifter.

Prerequisite modules

If you have not done so already, please study the prerequisite modules AM Mathematics and Pitch Shifting . If you are relatively new to LabVIEW, consider taking the course LabVIEW Techniques for Audio Signal Processing which provides the foundation you need to complete this mini-project activity, including working with arrays, creating subVIs, playing an array to the soundcard, and saving an array as a .wav sound file.

Deliverables

  • All LabVIEW code that you develop (block diagrams and front panels)
  • All generated sounds in .wav format
  • Any plots or diagrams requested
  • Summary write-up of your results

Part 1: multiple modulators

Consider an original signal x ( t ) , which is a sinusoid of frequency f 0 . The original signal is modulated by a cosine function of frequency f 0 / 2 to produce x 1 ( t ) , which is in turn modulated by a cosine function of frequency f 0 / 5 to produce x 2 ( t ) , which is in turn modulated by a cosine function of frequency f 0 / 9 to produce x 3 ( t ) . Sketch the frequency-domain version of the four signals, i.e., sketch X ( f ) , X 1 ( f ) , X 2 ( f ) , and X 3 ( f ) .

Create a LabVIEW implementation of the above arrangement and plot the spectrum of each of the four signals. Compare your LabVIEW results to your prediction.

Part 2: multiple modulators with soundfile input

Create a LabVIEW implementation of the multiple modulation scheme of Part 1 that can process a .wav audio file as the input signal. Use controls for the three modulators that will allow you to easilychange their modulation frequencies. Experiment with various choices of modulation frequencies to make an interesting effect. Create two .wav files using different parameter choices.

Part 3: pitch shifter

Implement the pitch shifting algorithm based on the single-sideband AM technique discussed in Pitch Shifter with Single-Sideband AM . Use a design similar to that of "am_demo3.vi" provided at the bottom of the page of AM Mathematics which accepts a .wav file as input and plays the sound. The sound clip should be relatively short (on the order of several seconds). For this part of the project, do not implement the pre-filter; you will do this in Part 4.

Evaluate the quality of your pitch shifter by presenting some written discussion and suitable spectrogram plots. Especially indicate whether you can find audible and visual evidence of aliasing.

The fast Hilbert transform built-in subVI is available in the "Signal Processing | Transforms" pallet.

Part 4: pitch shifter with anti-aliasing filter

Modify your pitch shifter to include a bandpass filter. State how you will compute the bandpass filter's upper and lower corner frequencies, given that you want to preserve as much of the original signal's bandwidth as possible.

Evaluate the quality of your modified pitch shifter by presenting some written discussion and suitable spectral plots. Compare your results with those you obtained in Part 3.

A variety of digital filters are available in the "Signal Processing | Filters" pallet.

Optional part 5: real-time processor

Choose one of the previous LabVIEW implementations and make it work in real time with a signal input (microphone) and interactive front-panel controls.

Evaluate the interrupt-driven approach using an event structure (see "am_demo1.vi" described in AM Mathematics , as well as the polled approach used by mic_in_speaker_out.vi ). Use whichever technique you prefer.

Submit your finished LabVIEW implementation as a distinct .zip file.

Questions & Answers

can someone help me with some logarithmic and exponential equations.
Jeffrey Reply
sure. what is your question?
ninjadapaul
20/(×-6^2)
Salomon
okay, so you have 6 raised to the power of 2. what is that part of your answer
ninjadapaul
I don't understand what the A with approx sign and the boxed x mean
ninjadapaul
it think it's written 20/(X-6)^2 so it's 20 divided by X-6 squared
Salomon
I'm not sure why it wrote it the other way
Salomon
I got X =-6
Salomon
ok. so take the square root of both sides, now you have plus or minus the square root of 20= x-6
ninjadapaul
oops. ignore that.
ninjadapaul
so you not have an equal sign anywhere in the original equation?
ninjadapaul
Commplementary angles
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a perfect square v²+2v+_
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or infinite solutions?
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The answer is neither. The function, 2 = 0 cannot exist. Hence, the function is undefined.
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Differences Between Laspeyres and Paasche Indices
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No. 7x -4y is simplified from 4x + (3y + 3x) -7y
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J, combine like terms 7x-4y
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what is the problem that i will help you to self with?
Asali
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Need to simplify the expresin. 3/7 (x+y)-1/7 (x-1)=
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. After 3 months on a diet, Lisa had lost 12% of her original weight. She lost 21 pounds. What was Lisa's original weight?
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Yes, Nanotechnology has a very fast field of applications and their is always something new to do with it...
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Prasenjit Reply
At high concentrations (>0.01 M), the relation between absorptivity coefficient and absorbance is no longer linear. This is due to the electrostatic interactions between the quantum dots in close proximity. If the concentration of the solution is high, another effect that is seen is the scattering of light from the large number of quantum dots. This assumption only works at low concentrations of the analyte. Presence of stray light.
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Source:  OpenStax, Musical signal processing with labview -- modulation synthesis. OpenStax CNX. Nov 07, 2007 Download for free at http://cnx.org/content/col10483/1.1
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