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In general, theaverage probability of bit error for the detected symbol at signalling instant IC is given by: (9.13) where BPS denotes the number bits per symbol and bi is the value (either 0 or 1) of the ith of bit of the symbol exhibiting the maximum a posteriori probability. The overall probability of bit error for the detector given by: is





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6.5 Type in the Per1 code for program 6.1 with code samples 6.2, 6.3, and 6.4. Once this runs, do the following problems. a) Table 6.1 reveals that there are underscores in the EnronSent corpus. Find out all the ways these are used. Note that many underscores in a row occur in this text. b) Table 6.1 reveals that square brackets are used in the EnronSent corpus. Find out how these are used. Were they all typed by the authors of the emails Finally, remember that a square bracket has special meaning in a regex. c) Table 6.1 reveals that there are parentheses in the EnronSent corpus. How are these used d) Find all the words with the character @ in the EnronSent corpus, and see how they are used. Since these are emails, one use is easy to guess.

DFC-1003

14 . 3





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12. Start the ROTATE command and select the four objects in the last chair that you created by using the COPY command. Follow the prompts: Specify base point: Choose the Center object snap of either of the chair arcs. Specify rotation angle or [Copy/Reference]: Right-click and choose Reference from the shortcut menu. Specify the reference angle <0>: Use the Quadrant object snap to pick the back arc of the chair. Specify second point: Use the Quadrant object snap to pick the front arc of the chair. Specify the new angle or [Points] <0>: Use the Perpendicular object snap to choose the conference table next to the chair. 13. Save your drawing.

Figure 5-38

else { // we tried too many times, so fail... throw new javax.ejb.EJBException(e); } } } } return entry.last++; } catch (javax.ejb.CreateException e) { throw new javax.ejb.EJBException(e); } } public void setSessionContext( javax.ejb.SessionContext sessionContext) { try { Context namingContext = new InitialContext(); _blockSize = ((Integer)namingContext.lookup ( java:comp/env/blockSize )).intValue(); _retryCount = ((Integer) namingContext.lookup ( java:comp/env/retryCount )).intValue(); _sequenceHome = (SequenceLocalHome) namingContext.lookup ( SequenceLocalHome ); } catch(NamingException e) { throw new EJBException(e); } } public public public public void void void void ejbActivate() {} ejbCreate() {} ejbPassivate() {} ejbRemove() {}

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Exploiting the Lagrange interpolation polynomial (A.75), the derivative X ( t )in the interval [tl;, k At,] can be written as t

v, =

$answer[Ol = 14 > 3 ; $answer[l] = 14 g t 3 ; $answer[2] = "14" > I' 3" ; $answer[3] = "14" g t " 3 " ; $answer [4] = 25 < 7 ; $answer[51 = ' c a t ' It "dog"; $answer[61 = 22.24 < 3.99; $answer[71 = ' c a t ' ge 'dog'; $answer[81 = ' c a t ' eq ' c a t ' ; $answer [91 = 5 == 6 ; $answer[101 = 5 <=> 6 ; $answer [ I l l = 6 <=> 6 ; $answer [I21 = 7 <=> 6 ; $answer[13] = ' c a t s ' cmp ' d o g ' ; $answer[14] = 'dog' cmp ' d o g ' ; $answer[15] = ' r a t s ' cmp 'dog';

any people are intimidated by the thought of adjusting color images No need to be All the basic exposure-correction skills used in 3 to correct grayscale images apply here as well The only difference is that when you work with color images you are adjusting multiple channels instead of just the one that you have in a grayscale image Other than that, you are still fighting the good fight by setting highlight and shadow points whether qualitatively (by eye), quantitatively (by the numbers), or a combination of the two If an image contains a diffuse, white highlight (or other neutral area), or color areas that people tend to recognize off the bat, such as skin tones (known as memory colors), it s nearly always best to make the correction by the numbers.

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