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Reading Guide

UNDER CONSTRUCTION!!! Here is a reading guide to help you get ready for the final exam.

Note: PM refers to the official course book, Digital Signal Processing, 3rd edition, J.G. Proakis and D.G. Manolakis. Prentice Hall, 1996.

Signals

Systems

Frequency analysis

  • Frequency response:

<A HREF="http://dynamo.ecn.purdue.edu/~bouman/ee438/lecture/module_1/1.2_systems/1.2.3_frequency_response.pdf">1.2.3</A>

   Review of complex numbers: 

<A HREF="FALL01/complex.pdf">supplementary notes</A>, <A HREF="http://dynamo.ecn.purdue.edu/~bouman/ee438/lecture/module_1/1.1_signals/1.1.5_complex_variables.pdf">1.1.5</A>

   Linear algebra and Fourier series:  PM pp. 232-240, 247-253, 399-409,

<A HREF="http://dynamo.ecn.purdue.edu/~ipollak/ee438/FALL01/Fourier_notes1.pdf">supplementary notes</A>

   DTFT:                     PM pp. 253-259, 264-314, 331-345,

<A HREF="http://dynamo.ecn.purdue.edu/~bouman/ee438/lecture/module_1/1.3_fourier_analysis/1.3.3_dtft.pdf">1.3.3</A>

Sampling

Z-transform

<A HREF="http://dynamo.ecn.purdue.edu/~bouman/ee438/lecture/module_1/1.5_z_transform/1.5.3_zt_prop_and_pairs.pdf">1.5.3 Properties and Pairs.</A>
<A HREF="http://dynamo.ecn.purdue.edu/~bouman/ee438/lecture/module_1/1.5_z_transform/1.5.4_zt_and_ccf_diff_eq.pdf">1.5.4 Z-transform and Difference Equations,</A> pp. 33-45
<A HREF="http://dynamo.ecn.purdue.edu/~bouman/ee438/lecture/module_1/1.5_z_transform/1.5.5_inverse_zt.pdf">1.5.5 Inverse Z-transform.</A>

DFT and FFT

PM pp. 393-425, 448-475
<A HREF="http://dynamo.ecn.purdue.edu/~bouman/ee438/lecture/module_1/1.6_dft/1.6.1_dft_derivation.pdf">1.6.1 Derivation,</A> p. 24

<A HREF="http://dynamo.ecn.purdue.edu/~bouman/ee438/lecture/module_1/1.6_dft/1.6.2_dft_prop_and_pairs.pdf">1.6.2 Properties and Pairs.</A>
<A HREF="http://dynamo.ecn.purdue.edu/~bouman/ee438/lecture/module_1/1.6_dft/1.6.4_fft_algorithm.pdf">1.6.4 FFT.</A>
<A HREF="http://dynamo.ecn.purdue.edu/~bouman/ee438/lecture/module_1/1.6_dft/1.6.5_periodic_convol.pdf">1.6.5 Circular Convolution.</A>

  • Random sequences

    <A HREF="http://dynamo.ecn.purdue.edu/~bouman/ee438/lecture/module_3/3.1_random_signals/3.1.1_one_rv.pdf">3.1.1 One Random Variable.</A>
    <A HREF="http://dynamo.ecn.purdue.edu/~bouman/ee438/lecture/module_3/3.1_random_signals/3.1.2_two_rvs.pdf">3.1.2 Two Random Variables.</A>
    <A HREF="http://dynamo.ecn.purdue.edu/~bouman/ee438/lecture/module_3/3.1_random_signals/3.1.3_random_sequences.pdf">3.1.3 Random Sequences.</A>
    <A HREF="http://dynamo.ecn.purdue.edu/~bouman/ee438/lecture/module_3/3.1_random_signals/3.1.4_estimating_distrib.pdf">3.1.4 Estimation of Distributions.</A>

    <A HREF="http://dynamo.ecn.purdue.edu/~bouman/ee438/lecture/module_3/3.1_random_signals/3.1.5_filtering_random_seq.pdf">3.1.5 Filtering.</A>
    <A HREF="http://dynamo.ecn.purdue.edu/~bouman/ee438/lecture/module_3/3.1_random_signals/3.1.6_estimating_correl.pdf">3.1.6 Estimation of Correlation Functions.</A>

    </ul>
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    Correspondence Chess Grandmaster and Purdue Alumni

    Prof. Dan Fleetwood