Rank: 319 based on 330 downloads (last 30 days) and 3 files submitted
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Rostam FarrokhNejad

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05 Nov 2007 Function Approximation Using Neural Network Without using Toolbox This code implements the basic backpropagation of error learning algorithm Author: Rostam FarrokhNejad fuzzy logic, neural networks, neural network, function approximatio..., error learning algori..., no t 64 3
  • 3.5
3.5 | 7 ratings
13 Mar 2007 Screenshot 2D Target tracking using Kalman filter This Demo shows tracking target and prediction next position using kalman filter Author: Rostam FarrokhNejad application, target tracking, kalman, 2d target, demo, detection 124 44
  • 4.22727
4.2 | 45 ratings
11 Dec 2006 Screenshot Character Recognition Example (IV):Training a Simple NN for classification This demo shows some examples for image pre-processing before the recognition stage. Author: Rostam FarrokhNejad gui, display, annotation, ocr simple farsi arab... 142 21
  • 4.2963
4.3 | 27 ratings
Comments and Ratings by Rostam FarrokhNejad
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17 Jun 2013 Cell Array to CSV-file [cell2csv.m] Writes a cell array into a comma separated values text file (*.csv) Author: Sylvain Fiedler

Comments and Ratings on Rostam FarrokhNejad's Files View all
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08 Dec 2014 2D Target tracking using Kalman filter This Demo shows tracking target and prediction next position using kalman filter Author: Rostam FarrokhNejad Yossarian

I don't know whether i have misunderstood or not, but some of the important codes are wrong.
In the line 51 of file kalman.m, x(i,:) = (xp + K*([cc(i),cr(i)]' - H*xp))', you just predicte the current position with the current real position and plot them in the same time.
That's why you get such a perfect result.
And I take a reference to other version of Kalman code like this one.
http://www.mathworks.com/matlabcentral/fileexchange/29127-linear-kalman-filter
Just change it to the following code:
x(i+1,:) = (xp + K*([cc(i),cr(i)]' - H*xp))';
Correct me if i'm wrong.

11 Nov 2014 2D Target tracking using Kalman filter This Demo shows tracking target and prediction next position using kalman filter Author: Rostam FarrokhNejad Awais Nazir

cool

19 Aug 2014 2D Target tracking using Kalman filter This Demo shows tracking target and prediction next position using kalman filter Author: Rostam FarrokhNejad Minsoo Goh

26 Jun 2014 Character Recognition Example (IV):Training a Simple NN for classification This demo shows some examples for image pre-processing before the recognition stage. Author: Rostam FarrokhNejad Dabira

Please explain the working

20 May 2014 Character Recognition Example (IV):Training a Simple NN for classification This demo shows some examples for image pre-processing before the recognition stage. Author: Rostam FarrokhNejad sam

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