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Y-parameters
The y-parameters relate the currents at 2-ports with the voltages:
i1 = y11 v1 + y12 v2
i2 = y21 v1 + y22 v2
For a passive network (contains only R,L,C components and no transistors, dependant sources,....) The analysis leads to the fact that y12 = y21.
For a symmetric network...
chirp signal detection
The chirp signal is a simple sinusoidal wave that changes its frequency regularly over time.
For more information and for the generation of chirp signal you can use MATLAB signal processing Toolbox and simply type
>> help chirp
CHIRP Swept-frequency cosine generator...
If you want an online easy and simple tutorial
**broken link removed**
But the best book in DIP at all is Digital Image Processing by Gonzalez and Woods. It is present as .djvu file on edaboard.com
I saw a similar application in the book "DIgital Image Processing" by Gonzalez concerning Object recognition and it said it is prefered to train the NN with clean patterns first and then with noisy patterns by this it can recongnize both.
So the MATLAB application u are talking about may be...
Antenna design
There is a free e-book about antennas at the link https://www.ece.rutgers.edu/~orfanidi/ewa/
You can download ch. 17 for horn antennas.
It contains also MATLAB files for antenna design
MATLAB treats the impulse response h(t) as a discrete periodic signal whose period is the whole number of sample in h(t). This is done in order to be able to compute its Fourier transform which will be also discrete and periodic and of course will be totally different from H(w) you put directly
Image Matching
At first you will use the image aquisition toolbox to get the data for your images into MATLAB
After that you will need an efficient pattern recognition algorithm implemented in MATLAB using neural networks or any other technique.
You will find useful m-files on MATLAB site at...
how do u visualize FDM?
You can visualize it as follows.
Assume you have a big room and it can take 20 persons and every 2 of them want to talk with each other and they are located in the same room. You have two solutions
(1) MAke the first two talk together and when they finish the second two...
You can get the grayscale level or RGB data range of hairy spots and then perform a thresholding technique to separate the hairy spots and then you subtract them from original image
The output of the FIR filter is a discrete signal calculated by the convolution sum between the input and the filter impulse response.
You can design an FIR filter in MATLAB using the GUI of the filter design toolbox.
The conversion to digital signal is the work of the ADC because it is the...
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