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CMOS Optical Preamplifier Design Using Graphical Circuit Analysis

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2.5.1 Mason’s Direct Rule<br />

2.5 An Overview of Signal-Flow Graphs 38<br />

The manipulation of signal-flow graphs is an effective and straightforward means of<br />

determining transfer functions for relatively small graphs. However, such manipula-<br />

tions quickly become unwieldy for larger graphs, and for such situations the transfer<br />

function can be computed directly. Comparing Equation (2.12) to the original sig-<br />

nal-flow graph in Figure 2.20a, we notice that the transfer function can be expressed<br />

as<br />

(2.13)<br />

where = abc represents the forward transmission path from input to output,<br />

and = cd and L2 = bce represent the loop gains of the two feedback loops<br />

found in the graph. In general, the transfer function of a signal-flow graph can be<br />

derived using the following expression, commonly known as Mason’s Direct Rule<br />

[Mason,1960]:<br />

where<br />

and<br />

L 1<br />

P 1<br />

• P k = transmittance of the kth forward path from input x in, to output, x out<br />

• ∆ = 1 - (sum of all individual loop gains)<br />

+ (sum of loop gain products of all possible sets of nontouching<br />

loops taken two at a time)<br />

- (sum of loop gain products of all possible sets of nontouching<br />

+...<br />

x out<br />

--------<br />

x in<br />

x out<br />

x in<br />

loops taken three at a time)<br />

P 1<br />

= ----------------------------------<br />

1 – ( L1 + L2) 1<br />

-------- =<br />

-- ∑ Pk∆ k<br />

∆<br />

n<br />

k = 1<br />

(2.14)

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