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At this point, you have a ColdFusion component containing one working function and shells for four more functions that you complete a little later in this section. But how do you call the GetCompany() function inside this component You may remember from 17 that you can call a local function inside a ColdFusion template as follows:

(14.9)

16

<cfinvoke method= GetCompany returnvariable= returnVar > <cfinvokeargument name= CompanyID value= 10 > </cfinvoke>

Calling a function in a component requires only one additional attribute, as follows:

While Figure 16.14 shows an intermediate interpolated analog signal, xI (t), this is more or less a convenient abstraction only. It turns out that, depending on the lter used and the method of resampling, we can in fact bypass the continuous-time processing completely. First, the window size or memory length M needs to be selected, determining the range of time instants of over which the resampling can occur. For a causal de nition, we require that the window span only the previous data symbols. Then, the current output symbol is obtained as a linear combination of the previous symbols. Consider a simple linear interpolator with M = 1, so that the window size is two symbols, consisting of the current symbol and one previous symbol. Then the resampled signal xd [n] can be obtained in discrete-time form as xd [n] = a0 [n] x[n] + a1 [n] x[n 1] = d[n] x[n] + (1 d[n]) x[n 1], (16.18) where 0 d[n] 1. The rationale for this de nition is illustrated in Figure 16.15. We note that this is a causal de nition. When d = 0, the output is the previous symbol. When d = 1, it is the current symbol. And for 0 < d < 1, the lter interpolates between these values. This is precisely what a linear interpolator does, but implemented entirely in discrete-time. The iterative (16.18) needs initialization to be complete: A virtual pre-symbol can be de ned with an arbitrary value x[ 1] = A. Also, observe that computing xd [n] actually corresponds to computing a convex combination of two consecutive symbols x[n] and x[n 1]; that is, weighting coef cients a0 and a1 satisfy a0 + a1 = 1, a0 0, a1 0 (16.19) (16.20)

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<cfinvoke component= Company method= GetCompany returnvariable= returnVar > <cfinvokeargument name= CompanyID value= 10 > </cfinvoke>

for each n. A convex combination is suf cient to maintain the full dynamic range (in fact, a more generalized linear combination is redundant, since it leads to unbounded output value). The INTRAS structure is a scrambler because, depending on the random sequence d[n], the output signal can differ signi cantly from the input. The difference can be characterized by a large MSE between x[n] and xd [n]. However, it is not encryption in the conventional sense, since knowing the input data and encrypted output is equivalent to knowing the key. Moreover, small mismatches in the decryption key do not lead immediately to nonsense output, but rather represent a more graceful degradation, characterized by an increasing mean-squared error (MSE). This is in stark contrast to the all-or-none criterion of conventional encryption and is thus more suitable for biometrics systems. As the memory length M is increased, a number of possibilities can be applied in interpolation. For example, (i) the simplest approach is to simply interpolate between every two successive samples (graphically, joining a straight line). Then the sampling delay determines which line should be used to pick the scrambled output. Or, (ii) linear regression can be rst performed over the symbols spanning the window of interest [46]. Then, the sampling delay is applied to the best- t regression line to produce the output. Alternatively, (iii) by revisiting the form of (16.18), which recasts interpolation as a convex combination, we can expand the formulation to incorporate multiple-symbol combination as follows: xd [n] = a0 [n]x[n] + a1 [n]x[n 1] + + aM [n]x[n M]

If you specify component= Company in the CFINVOKE tag, ColdFusion does the following: 1. Finds the file Company.cfc. 2. Invokes the function named in the Method attribute. 3. Creates a local variable in the calling page with the name specified in the ReturnVariable attribute and the contents of what was returned by CFRETURN. Listing 22-1, for example, produces the result shown in Figure 22-1. (Notice how ReturnVariable makes the connection with Query between the CFINVOKE and CFOUTPUT tags.)

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