<< Chapter < Page Chapter >> Page >

Block Diagram of Touch-Tone Telephone System

[link] shows the front panel of the touch-tone telephone system. When the program is run, one can hear the dial tone and see the signal displayed in the upper waveform graph. As soon as any number key is pressed, the dial tone is stopped and the corresponding key pad tone is heard and displayed. When keys are pressed 10 times (a valid phone number), the system plays the ringing tone or busy tone depending on the setting and displays the tone in the lower waveform graph.

Front Panel of a Touch-Tone Telephone System

Lab exercises

Dithering

Dithering is a method of decreasing the distortion of a low-frequency signal due to signal digitization [link] . Dithering works best when the sample rate is high in comparison with the rate at which the signal changes.

To see how this works, consider a slowly varying signal and its digitization, shown in [link] (a). If noise is added to the original signal amplitude roughly at one half the step size, the signal will look like [link] (b). If the digitized signal is passed through a resistor-capacitor circuit to smooth it out, an approximation to the original signal can be recovered. There is no theoretical limit to the accuracy possible with this method as long as the sampling rate is high enough.

Design a system to analyze the dithering technique. First, show the digitized and smoothed signal without dithering. Then, add random noise to the input signal (noise level should not exceed 50 percent of the step size of the digitized signal) and show the digitized and smoothed version. Measure the maximum and average error between the original signal and recovered signal.

Processing at One Half-Step Size: (a) From Top, the Original, Digitized and Smoothed Signal without Dithering, (b) From Top, the Noise Added, Digitized and Smoothed Signal with Dithering

Insert Solution Text Here

Image Processing

DFT is widely used in image processing for edge detection. A digital image is a two-dimensional signal that can get stored and processed as a two-dimensional (2D) array. In the frequency domain, with the center denoting (0,0) frequency, the center portion of this 2D array contains the low-frequency components of the 2D signal or image. The edges in the image can be extracted by removing the low-frequency components.

Read and display the image file image1.jpg provided on the book website. Then, complete the following steps:

  1. Compute and display the 2D DFT of the image using the LabVIEW MathScript functions fft2 and fftshift .
  2. Remove the low-frequency components of the image. A user-controlled threshold can be specified to remove a varying amount of the low-frequency components.
  3. Compute and display the inverse 2D DFT of the image using the LabVIEW MathScript functions ifft2 and fftshift . The processed image should reflect the edges in the original image.

Insert Solution Text Here

DTMF Decoder

Design a decoder VI for the DTMF system described in Telephone Signal section. The VI should be capable of reading the touchtone signal as its input and display the corresponding decoded key number as its output.

Insert Solution Text Here

Get Jobilize Job Search Mobile App in your pocket Now!

Get it on Google Play Download on the App Store Now




Source:  OpenStax, An interactive approach to signals and systems laboratory. OpenStax CNX. Sep 06, 2012 Download for free at http://cnx.org/content/col10667/1.14
Google Play and the Google Play logo are trademarks of Google Inc.

Notification Switch

Would you like to follow the 'An interactive approach to signals and systems laboratory' conversation and receive update notifications?

Ask