Unanswered Questions
3,676 questions with no upvoted or accepted answers
13
votes
2answers
291 views
When does the laugh track kick in?
One of my weekend projects has brought me into the deep waters of signal processing. As with all my code projects that require some heavy-duty math, I'm more than happy to tinker my way to a solution ...
9
votes
0answers
556 views
Will an Unscented Kalman Filter Be “As Good” as Other Optimization Algorithms for This Problem?
I want to calibrate a tri-axis magnetometer when a tri-axis gyroscope is also available.
I am fairly certain I can solve this problem using various optimisation algorithms, but I would prefer to use ...
9
votes
0answers
1k views
Ensemble learning, multiple classifier system
I am trying to use a MCS (Multi classifier system) to do some better work on limited data i.e become more accurate.
I am using K-means clustering at the moment but may choose to go with FCM (Fuzzy c-...
8
votes
0answers
223 views
What is the normalization factor for the quincunx lattice wavelet transform, and how do you find it?
On pages 57-60 (preview was available last I checked, images here in case), there is a quincunx lattice transform described.
Lattice:
...
7
votes
3answers
250 views
Reducing noise from the same frequency band as signal
Sorry for the vague question (as I'm not even quite sure what I want to do is possible), just asking for some general direction to take my research.
For a brief description, my signal resembles ...
7
votes
0answers
1k views
Help in Retraining a HOG Descriptor using SVMLight
I am currently trying to count cars using OpenCV 2.4.4 with a HOG descriptor. Because a model for car detection is not available in OpenCV, I am creating my own model using SVMLight and a dataset of ...
6
votes
2answers
5k views
First order low pass filter
I am trying to better understand the first-order low pass filter:
Summary:
Per wikipedia, a first order low pass filter yields the following in discrete time:
$$
\frac{Y(s)}{U(s)}= \frac{\omega_{c}}...
6
votes
2answers
176 views
Regression vector size for prediction, reconstruction and filtration with adaptive filters
I am working with adaptive filters and similar adaptive models (mainly with gradient adaptation) for a few years. I and my colleagues always struggle to find out the correct size of regression vector.
...
6
votes
1answer
215 views
Is there a strategy for discrete control of a system with dynamics near sample rate?
I'm trying to control a system where the controller sample rate is physically fixed and the plant has significant dynamics on the same order as the sample rate. I understand that one would prefer to ...
6
votes
1answer
385 views
Efficient calculation of correlation function every $N^{\rm th}$ point
I would like to calculate a long correlation function of length say, 1e6 points.
I have a prior knowledge that the correlation peak will be in point k*1000.
Is there an efficient way to apply this ...
6
votes
1answer
216 views
Analytical expression for convolution of two 2D DFTs
I am trying to do an image analysis problem on some images, and I want to calculate some things in the frequency domain which are giving me problems. Say I have an (discrete) image $I(x,y)$ of size $...
6
votes
2answers
596 views
Calculating the SNR of a blurred image
I have a blurred and noisy image $X$, I want to apply the Wiener filter on it and get a deblurred and denoised image $Y$ (i.e apply inverse of blurring filter while at the same time reducing some ...
6
votes
0answers
166 views
EWMA based differential that is strictly positive on strictly increasing irregular time series?
Let's say I have a time series $ \{t_i, x_i\} $ where the $x_i$ are strictly increasing and the $t_i$ are not regularly spaced. I can define a differential operator as
$$ \Delta_i = \frac{x_i-x_{i-1}...
6
votes
1answer
198 views
Regarding the choice of cost function in adaptive control - squared error vs absolute error
I did search the question database regarding this question, and although one or two questions came close, they didn't really address my specific question.
In adaptive control based on minimizing ...
6
votes
1answer
715 views
How to choose a windowing function when performing a Chirp $\mathcal Z$-transform?
I've got some data sampled at 32 Hz. The only interesting stuff is happening between about 0-8 Hz and I've got to do real time batch processing and detect events with a delay of no more than a second. ...
