Line 50: Line 50:
 
! colspan="2" style="background: #bbb; font-size: 110%;" | Part Two
 
! colspan="2" style="background: #bbb; font-size: 110%;" | Part Two
 
|-
 
|-
−
| align="right" style="padding-right: 1em;" | Wednesday || 02/25/09 || Spectral analysis via DFT||  
+
| align="right" style="padding-right: 1em;" | Wednesday || 02/25/09 || Spectral analysis via DFT|| 1.6.3
 
|-
 
|-
−
| align="right" style="padding-right: 1em;" | Friday || 02/27/09 || FFT ||  
+
| align="right" style="padding-right: 1em;" | Friday || 02/27/09 || FFT || 1.6.4
 
|-
 
|-
−
| align="right" style="padding-right: 1em;" | Monday || 03/02/09 || FFT ||  
+
| align="right" style="padding-right: 1em;" | Monday || 03/02/09 || FFT || 1.6.4
 
|-
 
|-
−
| align="right" style="padding-right: 1em;" | Wednesday || 03/04/09 || Circular convolution ||  
+
| align="right" style="padding-right: 1em;" | Wednesday || 03/04/09 || Circular convolution, one random variable || 1.6.5., 3.1.1
 
|-
 
|-
−
| align="right" style="padding-right: 1em;" | Friday || 03/06/09 || one random variable ||  
+
| align="right" style="padding-right: 1em;" | Friday || 03/06/09 ||two random variables  ||  
 
|-
 
|-
−
| align="right" style="padding-right: 1em;" | Monday || 03/09/09 || two random variables ||  
+
| align="right" style="padding-right: 1em;" | Monday || 03/09/09 || random sequences ||  
 
|-
 
|-
−
| align="right" style="padding-right: 1em;" | Wednesday || 03/11/09 || random sequences ||  
+
| align="right" style="padding-right: 1em;" | Wednesday || 03/11/09 || Estimating distributions  ||  
 
|-
 
|-
−
| align="right" style="padding-right: 1em;" | Friday || 03/13/09 || Estimating distributions  || (1.1-1.3)
+
| align="right" style="padding-right: 1em;" | Friday || 03/13/09 || Filtering random sequences || (1.1-1.3)
 
|-
 
|-
 
| align="right" style="padding-right: 1em;" | Monday || 03/16/09 || Spring Break (no class)  ||  
 
| align="right" style="padding-right: 1em;" | Monday || 03/16/09 || Spring Break (no class)  ||  
Line 72: Line 72:
 
| align="right" style="padding-right: 1em;" | Friday || 03/20/09 || Spring Break (no class) ||  
 
| align="right" style="padding-right: 1em;" | Friday || 03/20/09 || Spring Break (no class) ||  
 
|-
 
|-
−
| align="right" style="padding-right: 1em;" | Monday || 03/23/09 ||  Filtering random sequences || (1.1-1.3)
+
| align="right" style="padding-right: 1em;" | Monday || 03/23/09 ||  Estimating correlation functions || (1.1-1.3)
 
|-
 
|-
−
| align="right" style="padding-right: 1em;" | Wednesday || 03/25/09 || Estimating correlation functions || (1.1-1.3)
+
| align="right" style="padding-right: 1em;" | Wednesday || 03/25/09 || Models for speech, spectrograms  || (1.1-1.3)
 
|-
 
|-
−
| align="right" style="padding-right: 1em;" | Friday || 03/27/09 ||Models for speech, spectrograms  ||
+
| align="right" style="padding-right: 1em;" | Friday || 03/27/09 ||Test Two (in class) ||  
−
|-
+
−
| align="right" style="padding-right: 1em;" | Monday || 03/30/09 || Test Two (in class) ||  
+
 
|-  
 
|-  
 
! colspan="2" style="background: #bbb; font-size: 110%;" | Part Three
 
! colspan="2" style="background: #bbb; font-size: 110%;" | Part Three
 
|-
 
|-
−
| align="right" style="padding-right: 1em;" | Wednesday || 04/01/09 || Analog spectrum analyzer, speech characteristics || (1.1-1.3)
+
| align="right" style="padding-right: 1em;" | Monday || 03/30/09 || Analog spectrum analyzer, speech characteristics ||
 +
|-
 +
| align="right" style="padding-right: 1em;" | Wednesday || 04/01/09 || Short time (ST) DTFT || (1.1-1.3)
 
|-
 
|-
−
| align="right" style="padding-right: 1em;" | Friday || 04/03/09 || Short time (ST) DTFT ||
+
| align="right" style="padding-right: 1em;" | Friday || 04/03/09 || Waveform reconstruction from STDTFT ||
 
|-
 
|-
−
| align="right" style="padding-right: 1em;" | Monday || 04/06/09 ||  Waveform reconstruction from STDTFT ||
+
| align="right" style="padding-right: 1em;" | Monday || 04/06/09 || Linear prediction- framework ||
 
|-
 
|-
−
| align="right" style="padding-right: 1em;" | Wednesday || 04/08/09 || Linear prediction- framework ||
+
| align="right" style="padding-right: 1em;" | Wednesday || 04/08/09 || Linear prediction- solution ||
 
|-
 
|-
−
| align="right" style="padding-right: 1em;" | Friday || 04/10/09 || Linear prediction- solution ||
+
| align="right" style="padding-right: 1em;" | Friday || 04/10/09 || Linear prediction- exp. results ||
 
|-
 
|-
−
| align="right" style="padding-right: 1em;" | Monday || 04/13/09 || Linear prediction- exp. results ||
+
| align="right" style="padding-right: 1em;" | Monday || 04/13/09 || 2D syst. and spectral analysis, special signals, CT FT  ||
 
|-
 
|-
−
| align="right" style="padding-right: 1em;" | Wednesday || 04/15/09 || 2D syst. and spectral analysis, special signals, CT FT||
+
| align="right" style="padding-right: 1em;" | Wednesday || 04/15/09 || linear shift-invariant imaging systems  ||
 
|-
 
|-
−
| align="right" style="padding-right: 1em;" | Friday || 04/17/09 || linear shift-invariant imaging systems ||
+
| align="right" style="padding-right: 1em;" | Friday || 04/17/09 || Periodic structures, sampling and scanning ||
 
|-
 
|-
−
| align="right" style="padding-right: 1em;" | Monday || 04/20/09 || Periodic structures, sampling and scanning ||
+
| align="right" style="padding-right: 1em;" | Monday || 04/20/09 || Image enhancement, grayscale information ||
 
|-
 
|-
−
| align="right" style="padding-right: 1em;" | Wednesday || 04/22/09 || Image enhancement, grayscale information ||
+
| align="right" style="padding-right: 1em;" | Wednesday || 04/22/09 || Spatial filtering ||
 
|-
 
|-
 
| align="right" style="padding-right: 1em;" | Friday || 04/24/09 || Test Three (in class) ||
 
| align="right" style="padding-right: 1em;" | Friday || 04/24/09 || Test Three (in class) ||
Line 106: Line 106:
 
! colspan="5" style="background: #bbb; font-size: 110%;" | Part Four  
 
! colspan="5" style="background: #bbb; font-size: 110%;" | Part Four  
 
|-
 
|-
−
| align="right" style="padding-right: 1em;" | Monday || 04/27/09 || Spatial filtering ||  
+
| align="right" style="padding-right: 1em;" | Monday || 04/27/09 || Computed Tomography  ||  
 
|-
 
|-
 
| align="right" style="padding-right: 1em;" | Wednesday || 04/29/09 || Computed Tomography  ||  
 
| align="right" style="padding-right: 1em;" | Wednesday || 04/29/09 || Computed Tomography  ||  

Revision as of 14:15, 6 January 2009


Except for the exam dates, this is an approximate schedule. Updates will be made throughout the semester.


Part One
Day Date Material Covered Reading Lab
Monday 01/12/09 Introduction to course Introduction to lab
Wednesday 01/14/09 Signal types, characteristics, transformations 1.1.1-1.1.3 CT and DT signals
Friday 01/16/09 Special signals, complex, singularity fcts, comb and replication operations 1.1.4-1.1.7
Monday 01/19/09 MLK (no class) CT and DT signals
Wednesday 01/21/09 Frequency Response 1.2.3
Friday 01/23/09 Systems properties 1.2.1
Monday 01/26/09 Convolutions 1.2.2
Wednesday 01/28/09 CT Fourier transform 1.3.2 DT systems
Friday 01/30/09 DT Fourier transform, HW1 due 1.3.3
Monday 02/02/09 Analysis of sampling 1.4.1
Wednesday 02/04/09 Relation between CTFT and DTFT 1.4.2 Frequency analysis
Friday 02/06/09 Sampling rate conversion, HW2 due 1.4.3
Monday 02/09/09 ZT derivaion 1.5.1
Wednesday 02/11/09 ZT convergence 1.5.2
Friday 02/13/09 ZT properties and pairs 1.5.3 Sampling and reconst.
Monday 02/16/09 ZT and diff. equations, HW 3 due 1.5.4
Wednesday 02/18/09 Inverse ZT, response of LTI systems 1.5.6
Friday 02/20/09 DFT derivation, properties, pairs 1.6.1, 1.6.2
Monday 02/23/09 Test One (in Class)
Part Two
Wednesday 02/25/09 Spectral analysis via DFT 1.6.3
Friday 02/27/09 FFT 1.6.4
Monday 03/02/09 FFT 1.6.4
Wednesday 03/04/09 Circular convolution, one random variable 1.6.5., 3.1.1
Friday 03/06/09 two random variables
Monday 03/09/09 random sequences
Wednesday 03/11/09 Estimating distributions
Friday 03/13/09 Filtering random sequences (1.1-1.3)
Monday 03/16/09 Spring Break (no class)
Wednesday 03/18/09 Spring Break (no class)
Friday 03/20/09 Spring Break (no class)
Monday 03/23/09 Estimating correlation functions (1.1-1.3)
Wednesday 03/25/09 Models for speech, spectrograms (1.1-1.3)
Friday 03/27/09 Test Two (in class)
Part Three
Monday 03/30/09 Analog spectrum analyzer, speech characteristics
Wednesday 04/01/09 Short time (ST) DTFT (1.1-1.3)
Friday 04/03/09 Waveform reconstruction from STDTFT
Monday 04/06/09 Linear prediction- framework
Wednesday 04/08/09 Linear prediction- solution
Friday 04/10/09 Linear prediction- exp. results
Monday 04/13/09 2D syst. and spectral analysis, special signals, CT FT
Wednesday 04/15/09 linear shift-invariant imaging systems
Friday 04/17/09 Periodic structures, sampling and scanning
Monday 04/20/09 Image enhancement, grayscale information
Wednesday 04/22/09 Spatial filtering
Friday 04/24/09 Test Three (in class)
Part Four
Monday 04/27/09 Computed Tomography
Wednesday 04/29/09 Computed Tomography
Friday 05/01/09 Computed Tomography
Final Exam (Date and location TBA)
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Correspondence Chess Grandmaster and Purdue Alumni

Prof. Dan Fleetwood