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Microbolometers. Consider a microbolometer array with 50 mm square pixels operating at 30 frames per second with G 10 7 W/K and a resistive material speci c heat of 1 J/(cm3 . K). (a) As illustrated in Fig. 5.16(a), the frequency response of a microbolometer has a peak at n 0. Find t such that the thermal transfer function at the frame rate is 70% of the direct current (DC) response. (b) How thin must the resistive layer of the bolometer be to obtain the target value of t (c) Suppose that this array images a 1 cm2 area blackbody radiating 100 W at a range of 20 m using f/1 optics with a focal length of 20 cm. Assuming a responsivity 105 V/W, estimate the voltage change induced. Assuming a semiconducting resistive layer, estimate the temperature change induced. (d) Assuming that the variance of the voltage signal is 0.1% of the detected value in (c), estimate NETD for this array assuming operation in the 3 5 range and (separately) in the 8 14 mm spectral range.

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Figure 9.3 shows six runs of the steepest-descent algorithm (9.1) with different choices of the stepsize parameter p. For the top figure, the matrix R, is 5 x 5 with largest and smallest eigenvalues given by, ,A , = 7 7852 and ,;A , = 0.3674. The optimum step-size in this case is po = 0.2453. The simulation

=~ i - 1

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Figure A.14 shows the PDF of the SNR per symbol over both a narrow-band Rayleigh channel and the dispersive Wireless Asynchronous Transfer Mode (W-ATM) channel of [4]. Specifically, the W-ATM channel isa 3-path indoor channel, where the average SNR for each path is given as 7 = 0.791927,72 = 0.124247 and 73 = 0.083847. 1 Since we now have the PDF f7(y) of the channel SNR, let us calculate the average BEP of m-ary square QAM employing Gray mapping. The average BEP P, can be expressed as [4,87] : (A. 108) where p,(y) is the BER of m-ary square QAM employing Gray mapping over Gaussian channels [4] : P ~ ( Y= x A i Q ( & 7 ) , )

Exa mp le 9,25 .

Likewise,

(A.8)

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In this section the proposed threshold-based power control scheme was optimizedorder to in achieve an improved mean BER performance As a result of this design criterion, whenever the expected received SNR level was above the switching threshold, but within the power in control s dynamic rangeon Figure 43, the transmitted power was reduced order to ensure that a lower-order modulation mode was employed As a result, the BER was improved due to the employmentof a more robust modulation mode On the basisof this criterion,an AQAM mode transition table can be formulated,as seen 43 The adaptive switching in Table 41, which can be studied with reference to Figure thresholds and the PCZ, where the power control scheme can be employed is specified in the transition table The width of the PCZ depends on the maximum dynamic range, where the higher the range, the widerthe PCZ.

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accept them It means that we need to develop better systems and strategies for dealing with them It means that we need to acknowledge that the piecemeal, shotgun approaches often relied on in the past to reduce fraud and corruption are unlikely to be effective in today s environment The revelation in December 2008 of an alleged $50 billion fraud at Bernard Madoff Investment Securities seems strong evidence of that, especially since the alleged fraud was reportedly simply a classic Ponzi scheme and yet it apparently deceived some substantial investors Some readers, no doubt, will argue that programs and techniques for combating fraud and corruption have advanced markedly since the passage of Sarbanes-Oxley in 2002 To some extent, they are correct For example, corporate governance is no longer a phrase bandied about largely by academics New technologies make it possible to automate some anti-fraud controls on a truly global scale.

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