EECS145M Midterm 2: Microcomputer Interfacing Laboratory - Sampling and FFT, Exams of Microcomputers

The instructions and problems for the midterm 2 exam of the eecs145m: microcomputer interfacing laboratory course at the university of california, berkeley. The exam covers topics related to periodic sampling of arbitrary waveforms, anti-aliasing filters, fourier transforms, and the effects of frequency aliasing and spectral leakage.

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2012/2013

Uploaded on 03/22/2013

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Name (Last, First) Student ID number
EECS145M 2010 Midterm #2 Page 1 Derenzo
UNIVERSITY OF CALIFORNIA
College of Engineering
Electrical Engineering and Computer Sciences Department
EECS 145M: Microcomputer Interfacing Laboratory
Spring Midterm #2 (Closed book- equation sheet provided- calculators OK)
Full credit can only be given if you show your work.
Wednesday, April 7, 2010
PROBLEM 1 (20 points)
1.1 (10 points) When periodically sampling an arbitrary waveform, what causes frequency
aliasing and how can it be reduced?
1.2 (10 points) When periodically sampling an arbitrary waveform and computing its Fourier
transform, what causes spectral leakage and how can its long-range effects be reduced?
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UNIVERSITY OF CALIFORNIA

College of Engineering Electrical Engineering and Computer Sciences Department EECS 145M: Microcomputer Interfacing Laboratory Spring Midterm #2 (Closed book- equation sheet provided- calculators OK) Full credit can only be given if you show your work. Wednesday, April 7, 2010 PROBLEM 1 (20 points) 1.1 (10 points) When periodically sampling an arbitrary waveform, what causes frequency aliasing and how can it be reduced? 1.2 (10 points) When periodically sampling an arbitrary waveform and computing its Fourier transform, what causes spectral leakage and how can its long-range effects be reduced?

PROBLEM 2 (50 points) You have designed and built a computer system to sample waveforms and perform the FFT. It has the following characteristics:

  • Sampling frequency = 2^18 Hz = 262,144 Hz
  • Number of samples = 2^16 = 65,
  • Low-pass Butterworth anti-aliasing filter of order 8 and fc = 100,000 Hz
  • Raised cosine window Answer the following questions: 2.1 (3 points) For what frequency range does the anti-aliasing filter have gain >0.99? ( Hint: Use the Butterworth gain table on the equation sheet) 2.2 (3 points) For what frequency range does the anti-aliasing filter have gain <0.01? 2.3 (2 points) How long does it take to acquire the samples? 2.4 (3 points) To what frequencies do the FFT coefficients H 0 and H 1 correspond? 2.5 (4 points) What is the FFT coefficient with the highest frequency index and to what frequency does it correspond?

2.11 (7 points) You sample a sinewave of frequency 2^18 – 84,000 Hz = 178,144 Hz and take the FFT. What FFT coefficients should be non-zero? How does the magnitude of the largest FFT coefficient compare with that you would get if you sampled an 84,000 Hz sinewave? 2.12 (4 points) What would you change so that the FFT can resolve peaks twice as close as your answer to part 2.10?

PROBLEM 3 (total 30 points): You are given a waveform that repeats with a frequency of 10 kHz and contains frequency components only up to 10 MHz. 3.1 (10 points) Describe the Integral Fourier Transform of this waveform and the location of the lowest and highest harmonics present.

3. 2 (10 points) You take 2000 samples of the waveform of part 3.1 at a sampling frequency of 20 MHz and take the Fast Fourier Transform. Describe the Discrete Fourier amplitudes of this waveform and the frequency coefficients of the lowest and highest harmonics present