Transform Tables: Comprehensive Listing

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In summary, the conversation is about someone asking for a comprehensive listing of transform tables, specifically for continuous time domain, frequency domain, discrete time domain, and Z-domain. They also mention that it would be helpful to have a single table for easy reference. Another person suggests looking at a wiki page with integral transforms, but the first person is hoping for a single table with all the necessary information.
  • #1
krindik
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1
Hi,

Can somebody point me to a comprehensive listing of tranform tables. The tables in wikipedia are scattered everywhere and cannot be taken into a single page

A single table with
eg. Continuous Time domain | Frequency domain | Discrete Time domain | Z-domain domain

[tex]
\delta(t) \,\,\,| \,\,\,1 \,\,\,|\,\,\, \delta(n) \,\,\,| 1
[/tex]

[tex]
u(t) \,\,\,| \,\,\,\frac{1}{jw} \,\,\,|\,\,\, u(n) \,\,\,| \frac{1}{1-z^{-1}}
[/tex]

woudn't it be great to have as easy reference?

Thanks
 
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  • #2
Infact I'm looking for tabulated transforms of common functions
eg. multiplication by an exponent in time domain is a shift in frequency domain
 
  • #4
Yes. But doesn't anybody have a single table with all the required ones... well of course one could go through all of those tables in wiki and create a table on his own.. but i thought someone has done it already :)
 

FAQ: Transform Tables: Comprehensive Listing

What are transform tables?

Transform tables are a type of data table used in scientific research to organize and present data in a comprehensive and structured manner. They allow researchers to easily compare and analyze data from multiple sources.

How are transform tables different from regular tables?

Transform tables are different from regular tables because they include additional features such as calculated values, conditional formatting, and linked data. These features make it easier to manipulate and analyze the data in the table.

Why are transform tables important in scientific research?

Transform tables are important in scientific research because they allow for more efficient and accurate analysis of complex data. They also make it easier to identify patterns and trends in the data, which can lead to new discoveries and insights.

How are transform tables created?

Transform tables are typically created using specialized software or programming languages such as Microsoft Excel, R, or Python. These tools allow researchers to import, manipulate, and analyze data to create comprehensive transform tables.

What are some best practices for creating transform tables?

Some best practices for creating transform tables include organizing data in a logical and consistent way, using clear and concise labels, and including relevant metadata. It is also important to regularly review and update the table as new data becomes available.

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