Rank: 213 based on 418 downloads (last 30 days) and 22 files submitted
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Alex Dytso

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University of Illinois at Chicago

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19 Mar 2014 Wiener Filter for noise cancellation Example of how to implement wiener filter for noise canellation Author: Alex Dytso signal processing, digital filters, wiener filter, noise cancellation 22 0
22 Jul 2013 Distributive Power Control Algorithm This code is a simulation of 3 user Distributed Power Control algorithm used in CDMA networks Author: Alex Dytso communications, wireless, cdma, algorithms, signal processing 35 1
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4.0 | 1 rating
19 Feb 2013 Screenshot Three way Dual Probability This code simulates a dual between 3 players and compares two strategies Author: Alex Dytso demo, probability 14 1
11 Feb 2013 Decentralized Feedback Zero Forcing Equalizer Describes implementation of decentralized feedback zero forcing equalizer. Author: Alex Dytso communications, wireless, simulation, signal processing, control design 16 0
31 Jan 2013 MatLabPiano This is a simple code that generates music by pressing keys. Author: Alex Dytso demo, simulation 13 0
Comments and Ratings by Alex View all
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07 May 2014 Extended Kalman Filter Tracking Object in 3-D Using Kalman filter to track object in 3D. Comparing Extended Kalman filter to its linear version. Author: Alex Dytso

'Z' Stands for the observation vector and it is used in number of places for example when you compute quantity called innovation.

26 Sep 2013 Extended Kalman Filter Tracking Object in 3-D Using Kalman filter to track object in 3D. Comparing Extended Kalman filter to its linear version. Author: Alex Dytso

Yes, here is the document this is based on
https://dl.dropboxusercontent.com/u/12025879/Extended%20Kalman%20Filter.pdf

15 May 2013 Minkowski Sum Minkowski sum of two arrays Author: Mike Sheppard

I don't think that your code works.
Try this:

X2=[1 2]
X2 = 1 2
>> X1=[ 6 7]
X1 = 6 7
>> minksum(X1,X2)
ans =7 9

the answer should be 7 8 9

31 Mar 2013 Extended Kalman Filter Tracking Object in 3-D Using Kalman filter to track object in 3D. Comparing Extended Kalman filter to its linear version. Author: Alex Dytso

In order to convert to 2-D you just have to change the appropriate dimensions of matrices. You can also use the code as is and ignore one of the outputs.

19 Feb 2013 LMMSE Equalizer Implementation of LMMSE (linear minimum mean square error) Equalizer used to combat ISI Author: Alex Dytso

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14 May 2014 Extended Kalman Filter Tracking Object in 3-D Using Kalman filter to track object in 3D. Comparing Extended Kalman filter to its linear version. Author: Alex Dytso Ahsan

I give the X(:,1)=MAT(1,:)' as actual initial condition, where MAT is the matrix of [501x6] and i'm confusing about initial observation `Z` and assumed initial condition `Xh`

14 May 2014 Extended Kalman Filter Tracking Object in 3-D Using Kalman filter to track object in 3D. Comparing Extended Kalman filter to its linear version. Author: Alex Dytso Ahsan

The value of Z is unused from argument in proccesANDobserve and Jacobian function.

14 May 2014 Extended Kalman Filter Tracking Object in 3-D Using Kalman filter to track object in 3D. Comparing Extended Kalman filter to its linear version. Author: Alex Dytso Ahsan

I know this is the observation vector, I edited a bit of your code for my purpose, but it crosses the actual trajectory and calculating in its opposite way. I have a matrix `MAT` of [501x6] having 1:3 for position and 4:6 for velocities, How can I set the initial observation vector and also what other initial assumptions would be set?

07 May 2014 Extended Kalman Filter Tracking Object in 3-D Using Kalman filter to track object in 3D. Comparing Extended Kalman filter to its linear version. Author: Alex Dytso Dytso, Alex

'Z' Stands for the observation vector and it is used in number of places for example when you compute quantity called innovation.

07 May 2014 Extended Kalman Filter Tracking Object in 3-D Using Kalman filter to track object in 3D. Comparing Extended Kalman filter to its linear version. Author: Alex Dytso Ahsan

Hello, I didn't understand the Use of `Z` as this is unused in your code. Its always calculating but didn't use the initial array.

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