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As seen in the figure, the gradient of the curve is approximately unity for the average burst LLR magnitude before decoding over the range 5 for BPSK of 0 to and 4-QAM, 0 to 6 for 16-QAM and 0 to 10 for 64-QAM Thus, there is no average LLR magnitude improvement upon introducing turbo decoding in this low reliability range This is in harmony with our previous observations Figures 1010and 10 I 1, namely that thereis in no BER improvement for BERs below10-l Beyond this range, there is a sharp increase in the decoded LLR magnitude due to turbo decoding Figure 1012(a) also shows the effect of increasing the numberof decoder iterations on the average burst LLR magnitude Increasing the numberof decoder iterations improves not only the BER, also the average confidence but measure of the decoder s decisions Figure 10.

But you are taking a risk with that purchase: How do you.

Much of what they do is readily available to all consumers through free services One widely advertised credit monitoring service has become the focus of media scrutiny and civil lawsuits for its identity theft protection claims More details on this story can be found in the next chapter If you decide to use a credit monitoring service, make sure you do research and decide if it is in your best interest 19 Use Credit Freezes Credit freezes are a relatively new way to block your credit from potential misuse and identity theft Credit freezes block a prospective credit card issuer or lender from issuing new credit in a person s name without obtaining specific approval from that person A credit freeze prevents credit bureaus from issuing your credit score Without that information, few if any lenders will issue credit.

(A.38)

13 shows the relationship between the estimated short-term BER defined in Equation 1015 and the average burst LLR magnitude after turbo decoding using six iterations Note that the curves becomes more spread out , as the short-term BER decreases This is because the relationship between the probability bit error in the decoded burst of expressed in the logarithmic domain inversely proportional to LLR magnitude,as shown is its in Figure 1014 The average of the burst LLR magnitude is dominated by the LLR values of the bits having lower probability of bit error, whereas the short-term BER of the burst is dominated by the bits with higher probability of bit error The variance of the LLR values of the bits in the burst accounts for the spread of the the estimated short-term BER versus average burst LLR magnitude curves Figure 1013 at low short-term BER values.

CES> Exec commands cd clear dir enable exit Change current directory Clears the IP routing table (user and admin mode), ARP cache, or event log (admin mode) To display a list of files in the current directory Enables privileged commands Enables settings and disables exec mode and enables user level mode

10 zeta(t) 10

in Since the average burst LLR magnitude is related to the estimated short-term BER, after accounting for the spread at short-term BERs, the average burst LLR magnitude can low be used as themodem mode switching metric our AQAM scheme, which will be discussed in in Section 106 The average burst LLR magnitude is preferred instead of the short-term BER as the modem mode switching metric, because it can avoid the extra computational complexity.

It effectively blocks the issuance of instant credit, as is often seen when stores offer big discounts on purchases if a new credit card is opened at the same time Credit freezes are expected to become significant weapons to lessen the spread of identity theft The credit freeze, out of anything else that s been conceived, has the potential to be the most effective tool for preventing crooks from fraudulently using your Social Security number, said a cofounder of an identity protection firm4 Only time will tell if this is true; for now, credit freezes are another prevention strategy to consider 20 Stay Informed The best way to prevent identity theft is to stay informed about the problem Government agencies are doing a very good job at telling the public about how to prevent identity theft.