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[1] http://www.health.pitt.edu/rods. [2] Acharya, S. and Muthukrishnan, S. (1998) Scheduling On-Demand Broadcasts: New Metrics and Algorithms. Proceedings of Fourth Annual ACM/IEEE International Conference on Mobile Computing and Networking, Dallas, TX.

Substituting Eq. (4.2-6) into the wave equation (3.5-7) again results in the Helmholtz equation for Uf r; f . EXAMPLE 4.1 Show that a spherical wave, de ned by e jkr =r where p r x2 y2 z2 , is a solution of the Helmholtz equation. Solution: r2 in spherical coordinates is given by r2 @2 1 @ 1 @2 @2 2 2 2 @r 2 r @r r @0 @y

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generated an extremely sharp and uniform image inside the image region. The simulated reconstruction of the girl image especially demonstrates the accuracy of the LM-ODIFIIT, and should be compared to the LM and ODIFIIT results of the same image. The MSE of the LMCA-ODIFIIT is equal to the MSE of the LM, greater than the MSE of the LM-ODIFIIT, and less than the MSE of the LMCA. Incorporating ODIFIIT into LMCA reduces the error, just as it did for LM. However, considering the extremely small MSE of LM-ODIFIIT, it is somewhat surprising that the MSE of the LMCA-ODIFIIT is not less. As expected, the ef ciency of the LMCA-ODIFIIT is greater than the ef ciency of the LM-ODIFIIT. Quantized LM-ODIFIIT with N 2 had the largest MSE and the lowest ef ciency of all the methods. By using so few quantization levels, not enough information remains after encoding to allow for good reconstruction. Anytime the normalized amplitude is less than 1/2, the amplitude is quantized to zero, and phase information is lost. This explains high error and very poor ef ciency. By

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