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4 Threads found on edaboard.com: **Variance And Matrix**

Hi,
To Model your model with Kalman filter, You will need state transition **matrix** **and** **variance** of measurement **and** process noises.
If you are looking only for comparison purpose, Kalman filter is already implemented in matlab package.
Check this link:

Digital Signal Processing :: 05-21-2016 14:46 :: ahme0307 :: Replies: **3** :: Views: **796**

Hi
I need to obtain **variance**-co**variance** **matrix** by maximum likelihood. i obtained hessian **matrix** **and** now I need to calculate expected value of this **matrix**, but I have a lot of problem with calculating expected value. for example I do not underst**and** why in document it is (...)

Elementary Electronic Questions :: 06-27-2012 06:43 :: fareb :: Replies: **0** :: Views: **502**

I need help in image deblurring. How to deblur the blurred image? How to calculate **variance** of two dimensional **matrix**..?

Digital Signal Processing :: 10-27-2010 03:02 :: creative34 :: Replies: **1** :: Views: **899**

The first error is that you are using the same **variance** for H as the noise. so that your received sequence will be a total noise **and** it is obvious that the BER is 1/2. you should normalize H **matrix** to have **variance** equal to one so that it won't affect the SNR. H=sqrt(1/2)*(r**and**n.....)
Also you should change (...)

Digital communication :: 02-04-2009 08:30 :: farzad_m :: Replies: **2** :: Views: **3659**

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stepper board | chip impedance | counting pulses | non inverting | digital and power and supply | flyback compensation | verilog veriloga | bridge driver | hid library | bus functional model