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A study guide for the second exam in ece714/814 fall 2009, focusing on discrete time signal processing. The exam will be closed book and closed notes, and will emphasize visualization and understanding rather than memorization. The guide covers chapters 1-10 and assignments 1-8, with an emphasis on iir filters, z-transform, sample rate conversion, and related concepts. Students are encouraged to review their notes and text in preparation for the exam.
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The second exam will be given in class on Wednesday, December 2. It will be given closed book and closed notes. The exam will emphasize visualization and basic understanding rather than memorizing equations or performing computations. However, a little computing (adding, subtracting, multiplying, dividing) will be necessary. You are welcome to bring a simple calculator (but not a laptop computer), although I will try to choose numbers that can be manipulated without one (e.g. 10/2 = ?).
The following items are intended to help you in preparing for the exam. This should give a good idea of what to emphasize, although it is not guaranteed to be absolutely inclusive (since I haven’t made the test up yet). Also, I can’t guarantee to ask about all of these things, given that the exam is only 50 minutes in duration.
Chapters 1-5 (and Assignment #1-5). Material Covered in the First Test
Look over the study guide for the first test and the corresponding assignments (and the test as well). It would be a shame to lose points on a question on the second test, which you already lost points on during the first test!
Chapter 6 (and Assignment #6 and #7). IIR Filters (and the Z-Transform)
This chapter first introduced the Z-Transform and its basic properties when applied to the representation of the properties of LTI systems. The chapter then used the Z-Transform to discuss the properties of, and the design of, Infinite Impulse Response (IIR) filters.
Chapter 10. (and Assignment #8). Sample Rate Conversion
This chapter is about retaining information while changing (increasing or decreasing) the effective time between samples (the sampling rate) in discrete time signals. Down-sampling and up-sampling (decimation and interpolation) are important techniques in many communications and data compression systems. In addition, the issues of sample rate conversion provide an excellent framework for illustrating the most fundamental frequency domain properties of discrete time signals, which impact absolutely everything that is done in DSP. On multiple occasions in class we went through the steps of down-sampling and up-sampling, showing the resulting frequency spectra at each stage. In addition, you just did something similar in Matlab assignment #8. You should be extremely familiar with the impact of down-sampling and up-sampling on the frequency spectra of a signal, and with what filtering is necessary in order to preserve the information of the original signal while avoiding aliasing artifact.