Mastering DSP: Fourier Series & Transforms

AI Thread Summary
To master Digital Signal Processing (DSP) and Fourier series and transforms quickly, it's recommended to start with Laplace transforms before progressing to Fourier and Z transforms. A highly regarded resource is "Introduction to Digital Signal Processing" by Johnny R. Johnson, which is beneficial for newcomers. Another essential text is the Oppenheim-Schafer book, considered a foundational reference in the field. However, achieving mastery in this complex subject is challenging and typically requires substantial study time, especially for those without a strong math background. Quick mastery may not be realistic unless one has advanced mathematical skills.
madchiller
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hi i wanted to know if anybody that knew about dsp and all the Fourier series and transforms had any advice on how to master it ... very swiftly..
 
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madchiller said:
hi i wanted to know if anybody that knew about dsp and all the Fourier series and transforms had any advice on how to master it ... very swiftly..

Hmmm...Looking for a short-cut, eh?
Is it for here, or to-go? Do you need ketchup with that? Just kidding :).

When I was a TA, I recommended this book that cuts to the chase: Introduction to Digital Signal Processing, by Johnny R Johnson. It was pretty helpful to the new comers to DSP.

You need some background on integral transforms.
Start from Laplace transforms and then quickly move into Fourier and z and what have you...

The best book is by Oppenheim-Schafer. Its a bible...
 
thanks a lot so if I understood you right i start with LAPPLACE and I go on with the rest, thanks a lot of replying and for the book tip.
 
sai_2008 said:
The best book is by Oppenheim-Schafer. Its a bible...

lol, i have this. it ain't no shortcut.

i don't think master and quickly really go together here unless you're already a math savant, which is why you get few replies. i just had the one college course (roughly, 10 weeks), and didn't come away feeling like i had "mastered" the subject.
 
i have an applied & pure math degree just getting adjusted to the " engineering " math notation ...
 

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