Monday, 13 January 2014

Manley Rowe Power or Energy Relations Derivation


Here we are going to derive Manley Rowe power / energy relations.Before derivation of Manley-Rowe relation little introduction as follows.

In 1956, J. M. Manley and H. E. Rowe derived a set of energy relations associated with nonlinear elements. These relations, now known as the M-R energy (or power) relations, have become quite useful in analyzing the operations of the paramp. The derivation of these relations can be done with the help of the below figure.

Equivalent circuit of paramp for derivation of M-R relations

Figure shows signal sources vs of frequency ws and pump source vp of frequency wp connected across a nonlinear, lossless variable capacitance C. The R's are series resistances associated with the sources. The rectangular blocks represent band-pass filters (BPF's), which are tuned, respectively, to frequencies ws, wp, wp∓ws, 2wp∓2ws,......,mwpnws, where m and n are integers.

As shown in the figure, we find that vs and vp are applied to the nonlinear capacitor C through BPFs tuned to their respective frequencies. When excited, a nonlinear device will produce an output expressed in the general form

\[v_{o}=a_{1}v_{i}+a_{2}v_{i}^{2}+a_{3}v_{i}^{3}+.....+a_{n}v_{i}^{n}\]
                                                                                                                                   -------------------(1)
where a1,a2,...an are constants associated with the nonlinear device, and

vi = vs + vp
                                                                                                                    ----------------------------(2)     
Assuming that

vs = Vscoswst
                                                                                                                   -----------------------------(3)
and

vp = vpcoswpt
                                                                                                                   ------------------------------(4)
we find

vo =a1(Vscoswst + Vpcoswpt) + a2(Vscoswst + Vpcoswpt)2 + ...... + an(Vscoswst + Vpcoswpt)n 
                                                                                                                 ---------------------------------(5)
Equation (5) shows that the nonlinear capacitor C produces all possible harmonics of frequencies ws and wp. Each one of these frequencies is isolated from the rest by the respective BPF tuned to that particular frequency, and allowed to dissipate its power in the respective load resistor connected in series with that BPF.
In the M-R relations, (3) and (4) are respectively written as

\[v_{s}=\frac{V_{s}}{2}(\epsilon^{jw_{s}t}+\epsilon^{-jw_{s}t})\]
                                                                                                                    ------------------------------(6)
\[v_{p}=\frac{V_{p}}{2}(\epsilon^{jw_{p}t}+\epsilon^{-jw_{p}t})\]
                                                                                                                    ------------------------------(7)
Then the overall voltage applied across C would be

\[v=v_{s}+v_{p}=\frac{V_{s}}{2}(\epsilon^{jw_{s}t}+\epsilon^{-jw_{s}t})+\frac{V_{p}}{2}(\epsilon^{jw_{p}t}+\epsilon^{-jw_{p}t})\]
                                                                                                                   -------------------------------(8)
The total charge in C is a function of the voltage, hence may be expressed as a Taylor's series, given by

\[Q=Q_{o}+v\frac{dQ}{dv}+v^{2}\frac{d^{2}Q}{dv^{2}}+v^{3}\frac{d^{3}Q}{dv^{3}}+......+v^{n}\frac{d^{n}Q}{dv^{n}}\]
                                                                                                                    ------------------------------(9)
where all the derivatives are evaluated at v = 0. Since Q = f(v), which in turn is f(vp + vs), we may express Q in the form of a double-summation series as

\[Q=\sum_{n=-∞}^∞\sum_{m=-∞}^∞ Q_{nm}\epsilon^{j(nw_{p}+mw_{s})t}\]
                                                                                                                   ------------------------------(10)
Since Q = f(v), we can also write v = f(Q). We may therefore express v in the form of a second double-summation series as

\[V=\sum_{n=-∞}^∞\sum_{m=-∞}^∞ V_{nm}\epsilon^{j(nw_{p}+mw_{s})t}\]
                                                                                                                  -----------------------------(11)
Differentiating Q with respect to t, we get the total current I as

\[I=\frac{dQ}{dt}=\sum_{n=-∞}^∞\sum_{m=-∞}^∞ j(nw_{p}+mw_{s})Q_{nm}\epsilon^{j(nw_{p}+mw_{s})t}\]
\[=\sum_{n=-∞}^∞\sum_{m=-∞}^∞ I_{nm}\epsilon^{j(nw_{p}+mw_{s})t}\]
                                                                                                                   ----------------------------(12)
where we define the relation

Inm = j(nwp + mws)Qnm
                                                                                                                  -----------------------------(13)
We know that a pure capacitor is an energy storing device, and hence it cannot dissipate power and do work. Therefore, the net power into and out of it must be zero for power to be conserved (law of conservation of power). This means that the net power associated with a varactor must be zero, as we consider it as almost pure.
Now, the generalized average power at frequencies (mws + nwp) may be written as
Pnm = (VnmI*nm + V*nmInm)
                                                                                                                --------------------------------(14)
Where I*nm is the complex conjugate of Inm and V*nm is the complex conjugate of Vnm. This derivation is carried out based on the basic power relation P = VI* = V*I.

As stated above , law of conservation of power requires that

\[\sum_{n=-∞}^∞\sum_{m=-∞}^∞p_{nm}=0\]
                                                                                                                  -------------------------------(15)
Multiplying (15) with (nwp + mws) / (nwp + mws) (so that no change in the relation occurs),
we find

\[\sum_{n=-∞}^∞\sum_{m=-∞}^∞p_{nm}(\frac{nw_{p}+mw_{s}}{nw_{p}+mw_{s}})=0\]
                                                                                                                  ------------------------------(16)
Splitting (16) into two parts, we have

\[\sum_{n=-∞}^∞\sum_{m=-∞}^∞p_{nm}(\frac{nw_{p}}{nw_{p}+mw_{s}})+\sum_{n=-∞}^∞\sum_{m=-∞}^∞p_{nm}(\frac{mw_{s}}{nw_{p}+mw_{s}})=0\]
                                                                                                                 -------------------------------(17)
Equation (17) may also be written in the form

\[w_{p}\sum_{n=-∞}^∞\sum_{m=-∞}^∞(\frac{np_{nm}}{nw_{p}+mw_{s}})+w_{s}\sum_{n=-∞}^∞\sum_{m=-∞}^∞(\frac{mp_{nm}}{nw_{p}+mw_{s}})=0\]
                                                                                                                 -------------------------------(18)
We observe that the choice of ws and wp is arbitrary, and that even if we interchange them the sum given by (18) should remain zero. This is possible if and only if each summation is separately zero. That is

\[\sum_{n=-∞}^∞\sum_{m=-∞}^∞(\frac{np_{nm}}{nw_{p}+mw_{s}})=0\]
                                                                                                                   -----------------------------(19a)
\[\sum_{n=-∞}^∞\sum_{m=-∞}^∞(\frac{mp_{nm}}{nw_{p}+mw_{s}})=0\]                                                                                                                    ----------------------------(19b)

Equations (19a) and (19b) represent the Manley-Rowe power (or energy) relations.

Saturday, 28 December 2013

19.Define discrete cosine transform.



>Table of contents
 
 The 1-D discrete cosine transform is defined as


For u = 0, 1, 2, . . , N-1. Similarly the inverse DCT is defined as


For u = 0, 1, 2, . . , N-1

Where α is


 The corresponding 2-D DCT pair is



 For u, v = 0, 1, 2, . . , N-1, and


For x, y= 0, 1, 2, . . , N-1

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18.What are the properties of Slant transform?



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 Properties of Slant transform

 (i) The slant transform is real and orthogonal.
 S = S*
 S-1 = ST

(ii) The slant transform is fast, it can be implemented in (N log2N) operations on an N x 1 vector.

(iii) The energy deal for images in this transform is rated in very good to excellent range.

(iv) The mean vectors for slant transform matrix S are not sequentially ordered for n ≥ 3.



16.Explain the basic principle of Hotelling transform.



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Hotelling transform:

The basic principle of hotelling transform is the statistical properties of vector
representation. Consider a population of random vectors of the form,

And the mean vector of the population is defined as the expected value of x i.e.,

mx = E{x}

The suffix m represents that the mean is associated with the population of x vectors. The
expected value of a vector or matrix is obtained by taking the expected value of each elememt.
The covariance matrix Cx in terms of x and mx is given as

Cx = E{(x-mx) (x-mx)T

T denotes the transpose operation. Since, x is n dimensional, {(x-mx) (x-mx)T} will be of
n x n dimension. The covariance matrix is real and symmetric. If elements xi and xj are
uncorrelated, their covariance is zero and, therefore, cij = cji = 0.

For M vector samples from a random population, the mean vector and covariance matrix
can be approximated from the samples by

 and



 

15.State distributivity and scaling property of 2D DFT




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Distributivity:

From the definition of the continuous or discrete transform pair,

and, in general,

In other words, the Fourier transform and its inverse are distributive over addition but not over
multiplication.

Scaling:

For two scalars a and b,
af (x, y) <=> aF(u, v)


Thursday, 5 December 2013

14.State and prove the translation property of 2D-DFT



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The translation properties of the Fourier transform pair are
and
Where the double arrow indicates the correspondence between a function and its Fourier
Transform,
Equation (1) shows that multiplying f(x, y) by the indicated exponential term and taking
the transform of the product results in a shift of the origin of the frequency plane to the point (uo,
vo).

Consider the equation (1) with uo = vo = N/2 or
                                              exp[j2Π(uox + voy)/N] = ejΠ(x + y)
                                                                                   = (-1)(x + y)
and
                                          f(x, y)(-1)x+y = F(u – N/2, v – N/2)

Thus the origin of the Fourier transform of f(x, y) can be moved to the center of its
corresponding N x N frequency square simply by multiplying f(x, y) by (-1)x+y . In the one
variable case this shift reduces to multiplication of f(x) by the term (-1)x. Note from equation (2)
that a shift in f(x, y) does not affect the magnitude of its Fourier transform as,

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