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1 ·§­z
Introduction
  • ¯A¤Î¥DÃDªº·§­z¡C°ò¥»¼Æ¾Ç·§©À¡C¹Bºâ²Å¡CÃã·J¡C¨t²Î¹ê²{¡C
    Overview of Subjects to be Covered. Basic Math Concepts. Notation. Vocabulary. Representation of Systems
  • ¾\Ū¸ê®Æ¡GMSY 1.1-1.4,A.1-A.6(A.5¥i¿ï)
    Reading: MSY 1.1-1.4, A.1-A.6 (A.5 is optional)
  • ¶}©lú¥æ²ßÃD1
    Problem Set 1 Handed
2 ¥¿©¶¨ç¼Æ
Sinusoids
  • ½Æ«ü¼Æ
    Complex Exponentials
  • ¾\Ū¸ê®Æ¡GMSY 2.1-2.9
    Reading: MSY 2.1-2.9
3 ÀWÃйÏ
Spectra
  • ÀWÃйϡGAM
    Spectrum Plots. AM
  • ¾\Ū¸ê®Æ¡GMSY 3.1¡Ð3.4¡AC.7.1.3
    Reading: MSY 3.1-3.4, C.7.1.3
  • ²ßÃD1³Ì«á´Á­­
    Problem Set 1 Due
  • ¶}©lú¥æ²ßÃD2
    Problem Set 2 Handed Out
4 ¶g´Áªi§Î
Periodic Waveforms
  • ³Å¥ß¸­¯Å¼Æ¡CFM
    Fourier Series. FM
  • ¾\Ū¸ê®Æ¡GMSY 3.5-3.6
    Reading: MSY 3.5-3.6
5 °ò¥»¨ç¼Æ©M¥¿¥æ©Ê
Basis Functions and Orthogonality
  • ¥¿¥æ©Êªº©w¸q¡CWalsh¨ç¼Æ
    Defintion of Orthogonality. Walsh
  • ¨ç¼Æ©M¨ä¥L°ò¥»°ÝÃD
    Functions and other Basis Sets
  • ¾\Ū¸ê®Æ¡GÁ¿¸q
    Reading: Handouts
  • ²ßÃD2³Ì«á´Á­­
    Problem Set 2 Due
  • ²ßÃD3¶}©lú¥æ¡]
    Problem Set 3 Handed Out
6 ±Ä¼Ë¡A¢¹
Sampling, I
  • ±Ä¼Ë©w²z¡C²VÅ|
    Sampling Theorem. Aliasing
  • ¾\Ū¸ê®Æ¡GMSY4.1-4.3
    Reading: MSY 4.1-4.3
7 ±Ä¼Ë¡A¢º
Sampling, II
  • ­«ºc
    Reconstruction
  • ¾\Ū¸ê®Æ¡GMSY4.4-4.6
    Reading: MSY 4.4-4.6
  • ²ßÃD3³Ì«á´Á­­
    Problem Set 3 Due
8 ´úÅç«e§j­·
Pre-quiz Wrap-up
9 ´úÅç1
Quiz 1
10 ³q«H²z½×¡A¢¹
Communication Theory, I
  • ¹M¾ú¹Lµ{/Markov¼Ò«¬¡C¿ï¾Ü©Ê¡A¤£½T©w©Ê©Mæi¡AµLÂø°T³q¹DªºShannon°ò¦©w²z¡Cæi½s½X
    Ergodic Processes/Markov Models. Choice, Uncertainty and entropy. Shannon's Fundamental Theorem for a Noiseless channel. Entropy Coding
  • ¾\Ū¸ê®Æ¡GShannon©M¯¼Â´¤u¤H pp.3-64
    Reading: Shannon and Weaver pp. 3-64
  • ¶}©lú¥æ²ßÃD4
    Problem Set 4 Handed Out
11 Â÷´²®É¶¡¨t²Î¡A¢¹
Discrete-Time Systems, I
  • FIRÂoªi¾¹¡C¯ß½Ä¦^À³¡C°j±Û¿n¤À
    FIR filters. Impulse Response. Convolution
  • ¾\Ū¸ê®Æ¡GMSY5.1-5.3
    Reading: MSY 5.1-5.3
  • ¾\Ū¸ê®Æ¡GMSY5.1-5.3
    Problem Set 4 Due
  • ¶}©lú¥æ²ßÃD5
    Problem Set 5 Handed Out
12 Â÷´²®É¶¡¨t²Î¡A¢º
Discrete-Time Systems, II
  • ¤@¯ë½u©Ê®É¤£Åܨt²Îªº¹ê²{
    Implementations of General LTI Systems
  • ¾\Ū¸ê®Æ¡GMSY 5.4-5.9
    Reading: MSY 5.4-5.9
13 ÀW²v¦^À³¡A¢¹
Frequency Response, I
  • FIR¨t²Îªº¦^À³¡CÄÝ©Ê
    Response of FIR systems. Properties
  • ¾\Ū¸ê®Æ¡GMSY 6.1-6.4
    Reading: MSY 6.1-6.4
  • ²ßÃD5ú¥æ
    Problem Set 5 Due
  • ²ßÃD6¶}©lú¥æ
    Problem Set 6 Handed Out
14 Â÷´²®É¶¡¨t²Î¡A¢º
Discrete-Time Systems, II
  • ¤@¯ëLTI¨t²Îªº¹ê²{
    Implementations of General LTI Systems
  • ¾\Ū¸ê®Æ¡GMSY 5.4-5.9
    Reading: MSY 5.4-5.9
15 ÀW²v¦^À³¡A¢¹
Frequency Response, I
  • FIR¨t²Îªº¦^À³¡CÄÝ©Ê
    Response of FIR Systems. Properties
  • ¾\Ū¸ê®Æ¡GMSY6.1¡Ð6.4
    Reading: MSY 6.1-6.4
  • ²ßÃD5ú¥æ
    Problem Set 5 Due
  • ²ßÃD6¶}©lú¥æ
    Problem Set 6 Handed Out
16 ÀW²v¦^À³¡A¢º
Frequency Response, II
  • ¾\Ū¸ê®Æ¡GMSY6.5¡Ð6.9
    Reading: MSY 6.5-6.9
17 ZÅÜ´«¡A¢¹
Z-Transforms, I
  • ©w¸q¡C°j±Û¿n¤À©MZÅÜ´«¡C·¥ÂI©M¹sÂI
    Definitions. Convolution and the Z-Transform. Poles and Zeros
  • ¾\Ū¸ê®Æ¡GMSY7.1¡Ð7.6.2
    Reading: MSY 7.1-7.6.2
  • ²ßÃD6ú¥æ
    Problem Set 6 Due
  • ²ßÃD7¶}©lú¥æ
    Problem Set 7 Handed Out
18 IIR¨t²Î
IIR Systems
  • IIR¨t²Î
    Definitions. Impulse Response and Frequency Response
  • ¾\Ū¸ê®Æ¡GMSY8.1¡Ð8.5
    Reading: MSY 8.1-8.5
19 ZÅÜ´«¡A¢º
Z-Transforms, II
  • °fZÅÜ´«¡Cí©w©Ê¡C³¡¤À¤À¦¡ªº®i¶}
    Inverse Z-Transform. Stability. Partial Fraction Expansion
  • ¾\Ū¸ê®Æ¡GMSY8.6¡Ð8.9
    Reading: MSY 8.6-8.9
20 ´úÅç«e§j­·
Pre-quiz Wrap-up
  • ²ßÃD7ú¥æ
    Problem Set 7 Due
21 ´úÅç2
Quiz 2
22 ÀW²v¤ÀªR¡A¢¹
Spectrum Analysis, I
  • DFT§Ö³tºtºâªk
    The DFT. Fast Algorithms
  • ¾\Ū¸ê®Æ¡GMSY9.1.1¡A9.2.2¡A9.3.1¡Ð9.3.2¡A9.3.5¡Ð9.3.7
    Reading: MSY 9.1.1, 9.2.2, 9.3.1-9.3.2, 9.3.5-9.3.7
  • ²ßÃD8¶}©lú¥æ
    Problem Set 8 Handed Out
23 ÀW²v¤ÀªR¡A¢º
Spectrum Analysis, II
  • DTFTºtºâªk
    The DTFT
  • ¾\Ū¸ê®Æ¡GMSY9.4¡Ð9.7
    Reading: MSY 9.4-9.7
24 ¹ê»ÚÂoªi¾¹³]­p
Practical Filter Design
  • ¾\Ū¸ê®Æ¡GMSY7.7¡Ð7.10¡A8.10¡Ð8.11¡AÁ¿¸q
    Reading: MSY 7.7-7.10, 8.10-8.11, Handouts
  • ²ßÃD8ú¥æ
    Problem Set 8 Due
  • ²ßÃD9¶}©lú¥æ
    Problem Set 9 Handed Out
25 ¤ß²zª«²z¾Ç¡A¤ß²zÁn¾Ç©M¨ä¥L¥Í²z¾Ç«H¸¹
Psychophysics, Psychoacoustics, and Other Physiological Signals
  • ¾\Ū¸ê®Æ¡GÁ¿¸q
    Reading: Handouts
26 ¹ê»Ú³q«H¨t²Î
Practical Communication Systems
  • ¹ê»Úªº½Õ»s©M¸Ñ½Õ¤èªk©MÂXÃÐ
    Real-world Modulation and Demodulation Methods. Spread-spectrum
  • ¾\Ū¸ê®Æ¡GÁ¿¸q
    Reading: Handout
27 ³q«H²z½× ¢º
Communication Theory II
  • ¦³Âø°TªºÂ÷´²³q¹D¡A³sÄò³q¹D¡A¿ù»~ÀË´ú©MªÈ¥¿
    Discrete Channels with Noise. Continuous Channels. Error Detection and Correction
  • ¾\Ū¸ê®Æ¡GShannon©M¯¼Â´¤u¤H pp.65-80¡AÁ¿¸q
    Reading: Shannon and Weaver pp. 65-80, Handouts
  • ²ßÃD9ú¥æ
    Problem Set 9 Due
28 ´Á¥½¦Ò¸Õ«e½Æ²ß
Final Exam Review
29 ´Á¥½¦Ò¸Õ
Final Exam

 
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