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Buddy simply remember that capacitor allows time varying voltage, meaning if we are analysing DC trasient (a voltage that is either growing or decaying with time) or any AC form it shall pass through the cap.
What is the frequency of the voltage because improper value of capacitors can screw up whole things. just in your case for example the input impedance from source side is 176.8359 arg(90.28) & not even close to k\[\Omega\] range..
I disagree with above post by zorro.
If the frequency of sinusoid is constant as mentioned by OP, the fourier transform is just an impulse at frequency '\[{f }_{ 0}\]'
Answer would be
(\[{ A}^{ 2}\]/4) (\[\delta\](f \[\pm\] \[{f }_{0 }\]))
Your question is not clear add some detail.
400k samples per second & 18 bits per sample
Hence,
output data is at 400k*18 Hz (if it is what you are asking for).
Input data freq ? (I assume you want to know max input frequency, considering that)
you have 400ks & nyquist rate requires 2 samples...
For basic electromagnetics I'm studying Griffiths.
But I will be needing a better text book for learning engineering related topics like Transmission lines, wave guides etc...
three books I have in mind are following (I have read none & need a clear suggestion of book that explains things...
Any static charge will have a static field.
Now, if charge starts moving it will generate a time varying field given by maxwell's time harmonic equations
curlE = -j\[\omega\]\[\mu\]H
curlH = (\[\sigma\] + j\[\omega\]\[\mu\]\[\varepsilon\])E
Now taking curl (roughly you can think of it as...
Qn-1
X
Y
QN
0
0
0
0
0
0
1
0
0
1
0
0
0
1
1
1
1
0
0
0
1
0
1
1
1
1
0
1
1
1
1
1
As from above table Qn-1 is previous state & X, Y are your inputs & Qn is your required output then the boolean function you are looking for is something like
Qn =...
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