New answers tagged finite-impulse-response
3
votes
Accepted
Matlab Filter Designer "Filter Information" shows wrong order
Matlab is correct. A causal FIR filter with transfer function
$$H(z)=\sum_{n=0}^{N}h[n]z^{-n}\tag{1}$$
has filter order $N$ only if $h[N]\neq 0$. If $h[N]=0$, the transfer function $(1)$ can be ...
2
votes
A problem on FIR filter design given a difference equation
The filter order is the minimum number of (unit) delay elements necessary to implement the filter, or, equivalently, the order of the corresponding transfer function. In the case of causal FIR filters,...
2
votes
Accepted
Filter type selection for signal envelope detection
Obviously, when the envelope detection is of concern, the signal (e.g., a sound signal) must be reconstructed so that it looks like the original one as much as possible which means maximising SINAD (...
2
votes
Constrained Least Squares Filter Design
Remark: The answer deals with the Non Negative Least Squares variant the OP asked for.
This is an interesting question I'd like to try solving it without any Toolbox based functions in MATLAB.
First ...
0
votes
How to create a frequency weighted measurement? / How to design a Pinking FIR Filter?
If you want to a simple pink filter you can just use this https://ccrma.stanford.edu/~jos/sasp/Example_Synthesis_1_F_Noise.html
The pink filter is minimum phase so it can easily be inverted by ...
0
votes
For continuous systems that in Quasi-static / Static Equilibrium are Memoryless?
@Tim Wescott's answer is already addressing this issue but, if you still have problems with it then why not concoct a test case and see, practically, what happpens when you're removing the states?
...
1
vote
For continuous systems that in Quasi-static / Static Equilibrium are Memoryless?
You're confusing the meanings of "static" and "has memory".
Static, in the sense of "static equilibrium" just means the system is sitting still and will remain sitting ...
2
votes
Convert filter coefficients at one sample rate to different sample rate
How would I determine the coefficients that can replicate this frequency response, but at other sample rates, like 48 kHz?
Resample the filter coefficients, just like you'd have to resample a signal. ...
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