Timeline for Confusion calculating length of Kaiser window
Current License: CC BY-SA 4.0
11 events
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| Jun 13, 2022 at 14:25 | comment | added | Matt L. |
@engr: I've added an explanation of the formulas for computing M in the given examples.
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| Jun 13, 2022 at 14:25 | history | edited | Matt L. | CC BY-SA 4.0 |
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| Jun 13, 2022 at 13:44 | comment | added | DSP_CS | In above MATLAB code, M=ceil(11pi/tr_width)+1,but in your answer your first term is something different from ceil(11pi/tr_width)?? | |
| Jul 24, 2020 at 17:23 | comment | added | Matt L. | @engr: It depends. If the filter is causal (and implemented in real time) then you have to count any additional delay starting from index $n=0$, because you need to implement the delay. Look at it this way: how many delay elements do you need to implement the filter? The filter length is the number of delays (= the filter order) plus one. | |
| Jul 24, 2020 at 17:16 | comment | added | DSP_CS | If we have another zero to right of"-1", still length will be 6? | |
| Jul 24, 2020 at 17:10 | comment | added | Matt L. | @engr: It's the number of taps from the first to the last non-zero tap, no matter how many coefficients in between are zero. If you have the coefficients $1,0,0,0,0,-1$ then the filter length is $6$. It's the extension of the impulse response. | |
| Jul 24, 2020 at 16:59 | comment | added | DSP_CS | you wrote " For FIR filters, filter length is the number of coefficients (taps)." does it mean zero taps or non zero taps or both? | |
| Jul 24, 2020 at 11:50 | vote | accept | DSP_CS | ||
| Jul 22, 2020 at 9:27 | history | edited | Matt L. | CC BY-SA 4.0 |
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| Jul 22, 2020 at 8:01 | history | edited | Matt L. | CC BY-SA 4.0 |
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| Jul 22, 2020 at 7:54 | history | answered | Matt L. | CC BY-SA 4.0 |