New answers tagged filter-design
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 ...
- 80.2k
2
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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,...
- 80.2k
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 (...
- 543
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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 ...
- 40.5k
0
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What is the proper way to filter out unwanted noise from accelerometers?
If you are using a MEMS based accelerometer for vibration analysis, then first thing that is needed to be removed is the gravity component (DC component) because it will affect your readings severely.
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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 ...
- 31.4k
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How to remove heartbeat signal from blood pressure signal?
Problem
Your model is:
$B'(t) = B(t) + A'(t)$
where $B'(t)$ is your observed blood pressure corrupted with the heartbeat signal, $A'(t)$. You want to find $B(t)$ but you don't know $A'(t)$, instead ...
- 399
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Apply FIR filters to Extract Stego from WAV data
The amazing engineering field called Digital Signal Processing (DSP) comes from a simple analysis of discrete-time signals to complex adaptive filters. But, to start, a nice idea is to think of the ...
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