1 TDS. Unit:
Diagram in the front panel with similar distribution that the elements in the real unit.
Steel box.
Front Panel:
2 Function generators modules, that can generate 3 different signals: sinusoidal, square and triangular.
Each function generator includes:
Wave forms selector ( sinusoidal, square and triangular) .
Frequency selector.
Amplitude selector.
Duty cycle selector.
Signal output ( BNC connector) .
Noise generator module, that can generate two noises type. Including:
2 noise outputs: one for white noise and other for pink noise.
Attenuator selector per each noise type.
Microphone pre-amplifier module, including:
Input ( microphone) ( jack connector 1/ 4’ ’ ) .
Outputs ( 2 connectors, one jack connector 1/ 8’ ’ and the other BNC connector) .
Power amplifier module, including:
Inputs ( 2 connectors, one jack connector 1/ 8’ ’ and the other RCA connector) .
Output ( BNC connector) .
Volume selector.
Speaker module.
PC input/ output module, including:
2 inputs ( BNC connectors) .
2 outputs ( BNC connectors) .
Power On/ Off switch.
Lateral panel:
SCSI connector for connecting with the data acquisition board ( DAB) to be placed in the computer PC.
EXERCISES AND PRACTICAL POSSIBILITIES
Practical Possibilities of the unit:

1.- Continuous wave form generation, with the possibility of varying the frequency and amplitude of signals, besides of duty cycle.
2.- Characterization of signals. To analyze the nature of the signals: sinusoidal, square, triangular and sawtooth.
3.- Possibility of working simultaneously with two external signals.
4.- Possibility of generating signals directly by the software and send them to the unit outputs and then visualizing or listening by the speaker or an
external oscilloscope.
5.- Signal digitalization, permitting the most suitable sampling time, avoiding “ aliasing” .
6.- Digitalization of signals with the possibility of adjusting the sampling frequency.
7.- Fast Fourier Transforms ( Power Spectrum) .
8.- Addition, subtraction, multiplication, convolution and auto-convolution of signals.
9.- Study of “ aliasing” .
10.- Application of the frequency convolution theorem.


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