Student Manual

This is a veiled introduction to data acquisition. Furthermore, students will be exposed to the ideas of filtering, noise, sampling and autocorrelation.Students will be required to analyze the autocorrelation of the noise signal, generated from a pseudorandom binary signal. This will be followed by low-pass filtering using a simple RC circuit and calculating the autocorrelation of the filtered signal.

Software Code codes
Sample Results Gain of a low pass filter as a function of frequency
Circuit for pseudo-random noise generation based on shift registers
Experiment Code 1.6
Version 1st October 2008

Further Readings and References


Pictorial Procedure

1. Provided apparatus

1. Provided apparatus

Daq_2nn

2. Generating a sine wave of 10 Hz with signal generator

3. Connecting a signal generator to the labeled leads of DAQ for acquiring data

3. Connecting a signal generator to the labeled leads of DAQ for acquiring data

4. Setup for Nyquist Sampling Theorem

4. Setup for Nyquist Sampling Theorem

5. All function files must be in the current directory of Matlab

5. All function files must be in the current directory of Matlab

6. Front panel view of nyquist.vi file

6. Front panel view of nyquist.vi file

7. Accessing block diagram window

7. Accessing block diagram window

8. Changing sample rate in the Block diagram window

8. Changing sample rate in the Block diagram window

9. Saving data in nyq.lvm file. You can change the folder path as well

9. Saving data in nyq.lvm file. You can change the folder path as well

10. Circuitry for low pass filter

10. Circuitry for low pass filter

11. In order to change the input peak voltage to 5V, you need to use this configuration

11. In order to change the input peak voltage to 5V, you need to use this configuration

12. High pass filter with 1.3KHz cut-off frequency

12. High pass filter with 1.3KHz cut-off frequency

13. Circuitry for composite signal

13. Circuitry for composite signal

14. Setup for filtering a composite signal

14. Setup for filtering a composite signal