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$100,000 limit already covers 98 percent of all bank customers. These customers have continued access to their deposits even if their bank is put into receivership by the FDIC. Moreover, if an FDIC-insured bank did face a run by insured depositors, it could quickly access liquid funds by borrowing from the Federal Reserve. The rationale for extending the $250,000 limit until the end of 2013 was stated by the White House: This will provide depository institutions with a more stable source of funding and enhanced ability to continue making credit available across the country. 10 However, there is no proven connection between higher FDIC insurance limits and increased lending by banks in the current recession. When FDIC-insured banks attracted more deposits because of higher insurance limits, they often used the extra cash to invest in government bonds, pay down outstanding advances, or bolster their loan loss reserves. The protection of transaction accounts, which usually do not pay interest,11 is more complex. Many small businesses use these accounts for payments of inventory, wages, and taxes, so these could easily exceed $100,000 or even $250,000. However, the FDIC s guaranty program has no limit based on the size of the business. Therefore, IBM or Cisco could use a bank account for millions of dollars of transactions every day, and that account would be fully insured by the FDIC. If we want to protect transaction accounts of small businesses, the FDIC should limit eligibility for its unlimited insurance of transaction accounts to businesses with revenues in the prior year of less than some reasonable amount (e.g., $1 million).

This is a convex optimization problem with a linear objective, a rotated second-order cone constraint (5.22b), and an in nite number of (conventional) convex quadratic constraints (5.22c). Discretization of Equation (5.22c) results in a formulation that can be ef ciently solved for a (globally) optimal g using general purpose convex cone optimization tools [25]. Although solutions to Equation (5.22) do not generate waveforms that explicitly maximize the NESP, they ef ciently generate pulses with large NESPs, without the need for the spectral factorization post-processing step that is required for the ef cient solution of Problem 1 [via Equation (5.18)]. 5.4.4 Constrained Frequency Response Design with Linear Phase Filters The solution of Problem 2 can often be simpli ed if g k is (further) constrained to have linear phase, at the expense of a performance penalty. For symmetric (linear phase) lters of odd length, the problem in Equation (1.22), which is a formulation of Problem 2 with 2, simpli es to min

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Figure 2.10 Feedback strength versus external round-trip time in the short cavity limit. The dashed line corresponds to a feedback coefficient C = 1. Source: N. Schunk and K. Petermann, Stability analysis for laser diodes with short external cavities , IEEE Phot. Technol. Lett., 1, 49 51 (1989).

ablating patients with atrial utter is summarized in Figs. 12.24 and 12.25. In general it is very helpful to start global (surface ECG evaluation), gradually move regionally (left or right atrium, anterior or posterior portions of the heart), and ultimately end up in the neighborhood (identi cation of a critical isthmus facilitated by three-dimensional mapping). The one exception is to always look rst for common things, and to determine whether a utter is dependent on the cavotricuspid isthmus by using entrainment mapping.

It is worthwhile to take inventory of the metrics that we have found to be helpful in analyzing defect discovery trends and prioritizing defect backlogs. Development metrics discussed and demonstrated 1. 2. 3. 4. 5. unique development defect identi er development defect discovery date development defect severity development defect correction date development defect correction code earmark

2 B Alkire and L Vandenberghe, Convex optimization problems involving nite autocorrelation sequences, Mathematical Programming, Series A, vol 93, no 3, pp 331 359, December 2002 3 A Batra et al, Multi-band OFDM physical layer proposal for IEEE 80215 Task Group 3a, IEEE P80215 Working Group for Wireless Personal Area Networks (WPANs) Publications Document: IEEE P80215-03/268r3, March 2004 4 J O Coleman and D P Scholnik, Design of nonlinear-phase FIR lters with secondorder cone programming, in Proc 1999 Midwest Symp on Circuits and Systems, Las Cruces, NM, USA, August 1999 5 T N Davidson, Z-Q Luo, and J F Sturm, Linear matrix inequality formulation of spectral mask constraints with applications to FIR lter design, IEEE Transactions on Signal Processing, vol 50, no 11, pp 2702 2715, November 2002 6 R S Dilmaghani, M Ghavami, B Allen and H.

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