Fourier Series/ transform demonstration

AI Thread Summary
The discussion revolves around the confusion regarding the notation used in Fourier Series and transforms, specifically the differences between X(jw), X[e^jw], X(w), and X(f). The user seeks clarification on why different classes employ varying notations and what implications these changes have on understanding continuous and discrete signals. There is an emphasis on the importance of grasping these concepts to facilitate a deeper understanding of related topics like Laplace and Z transforms. The user expresses a willingness to engage with complex mathematics to achieve clarity. Understanding these notations is seen as crucial for mastering signal processing concepts.
MrAlbot
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Hey guys!

if anyone can help me I guess it is you! :)

I'm trying to find the Fourier Series demonstration to continuous and periodic functions.

I don't understand why people keep using X(jw) and X[e^jw] and even sometimes X(w) and X(f)

If anyone can help me I'm really not understanding that!

Best regards

Peter
 
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I'm trying to understand why in my Signals and Systems they use X(jw) (and X[e^jw] in disrete signals) and in my telecomunications class they use X(f) and what does it change, and why can they change that. I have no problem going into deep mathematics if that means understanding it. I feel like only after understanding this Fourier series/transform Laplace and Z transform will make sense in my head and I'll be able to sleep at night if I get this right into my head. ^^

Thanks again.
 
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