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Hello everyone:
I want some material about FIR, i just finish the FFT part of my project , next one is do a FIR realize. Thanks a million:)Link Copied
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Oppenheim and Shaffer?
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????sorry, I do not understand your meaning , sorry for my English :confused:
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Someone is being cute here.
If you Google Oppenheim and Shaffer you will be lead to a text book by these two authors on the subject of filters.- Mark as New
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Could you be a bit more specific? What is is you want to know about FIRs? What are you trying to do with them?
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--- Quote Start --- Could you be a bit more specific? What is is you want to know about FIRs? What are you trying to do with them? --- Quote End --- ok thank you first. and my project is such: firstly , there are many sampleing data. and i do FFT running. but i know before that , i would better deal with these sampling datas though FIR . but i have no idea have to realize this . could you give me some idea .. thanks a million:)
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Now I'm really confused. It sounds as if you want to apply an FIR to the data before applying an FFT to it - is that right?
An FIR is just a convolution on the data stream. If you are already doing an FFT any way, it's normally easier to use the Convolution Theorem and apply the convolution after the FFT, rather than before. What is the specific reason that makes you want to do the FIR before doing the FFT, rather than after it? If you want to do an FIR instead of an FFT, then my original questions have not been answered: What is is you want to know about FIRs? What are you trying to do with them? Since every application is unique and different, and since there are so many possible complications in implementing FIRs, I can not offer any suggestions until I have more information about what you are trying to do.
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