Another EE course thread...

[MisterYu]

This coming semester will be my last. I have 1 class left for my MS EE (Communication emphasis) to take, while working full time.

I was considering between the following 2:

Adaptive Signal Processing
Description: Weiner filtering, linear prediction, method of steepest descent, stochastic gradient algorithms, recursive least-squares (RLS), fast RLS, RLS with systolic arrays, QRD-least squares methods, blind deconvolution.

-or-

Mathematical Pattern Recognition
Description: Distribution free classification, discriminant functions, training algorithms; statistical classification, parametric and nonparametric techniques, potential functions; non-supervised learning.

They both sound hard. Suggestions? Insights?

 

[Jassi]

Originally posted by: MisterYu

Weiner filtering

Hehe.


BTW, I am an EE and I have no idea wth you just said.

 

[mitaiwan82]

Originally posted by: Jassi

Originally posted by: MisterYu

Weiner filtering

Hehe.

😕

 

[LordSnailz]

Depends which one you think would help you more at work ... or maybe which has a "better" syllabus or final schedule ...

 

[MisterYu]

Originally posted by: LordSnailz
Depends which one you think would help you more at work ... or maybe which has a "better" syllabus or final schedule ...

I work with radar, so they're both are useful.

No syllabus are available.

The finals for the classes are scheduled are right at the beginning of finals week.