M. Goel, S. Appadwedula, N. R. Shambhag, K. Ramchandran, and D. L. Jones, "A Low-power Multimedia Communication System for Indoor Wireless Applications", In 1999 IEEE Multimedia Signal Processing Workshop, pages 473-482, 1999.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....quickly using a constrained gradient descent optimizer for the utility function over the allocated resource space. Although this type of optimizer may not be optimal if the utility function is not convex, such optimizers are fast and have been shown to perform well for this type of application [11]. If the application finds that due to changing conditions it cannot achieve the agreed on utility using its allocated resources, it reports this to the resource manager and triggers a global adaptation. This is done even if conditions have improved and the application is exceeding its specified ....

M. Goel et al. A low-power multimedia communication system for indoor wireless applications. Journal of VLSI Signal Processing Systems, 2001.

....We observe that the power consumption of the RS channel coder is about 1 of the source encoder. Hence in our numerical analysis of Section III C we keep the ratio between the channel encoder and source encoder power consumptions for both software and hardware implementations to be around 1 . In [22], the same model as in (18) was used to characterize the energy consumption by a hardware RS encoder. Therefore, it is reasonable to assume that by varying c c , we can use (19) to characterize the power consumption of an RS channel coder on di#erent implementation platforms. B.4 Power ....

M. Goel, S. Appadwedula, N. R. Shambhag, K. Ramchandran, and D. L. Jones, "A low-power multimedia communication system for indoor wireless applications," in 1999.

....[14] In H.263 the interval between INTRA macroblocks is adjustable as well as the source bit rate. We develop a simple model for the power consumption of the H.263 source encoder and validate our model through measurements. Together with power consumption models for channel codec and transmitter [15], and models of distortion caused by compression and transmission [2] a power optimization problem is formulated subject to a given distortion constraint. We first investigate the effect of channel error rate on the optimal operation parameters by varying the burst length of the channel and ....

....and b8 is larger for foreman.qcif because this sequence contains more moving regions and hence requires more computations in motion estimation. B. 3 Power consumption of the channel encoder Based on the number of computations, the energy consumption of an RS (n, k) encoder is modeled in [15] as 2to Ec = c (joules bits) 20) m where c is a scaling factor that depends on the actual implementation and t = The derivation of this energy consumption model is based on the number of computations to 16 generate n k parity check symbols for an RS (n, k) coder. Thus, the power ....

M. Goel, S. Appadwedula, N. R. Shambhag, K. Ramchanch'an, and D. L. Jones, "A low-power multime- dia communication system for indoor wireless applications," in 1999.

....such as algorithm and circuit design to minimize power consumption of the video coder and the channel coder, the design of power ecient transmit ampli ers and antennas. Recently, researchers started to explore the problemofpower allocation among source coder, channel coder and transmitter [1] [2], 3] assuming eachcomponent has been designed to operate in a power ecientway. In [1] the authors found that, by judiciously selecting operating modes of the H.263 video coder in response to mobile environment, lowpower consumption can be achieved while maintaining a good video quality level. ....

....[3] assuming eachcomponent has been designed to operate in a power ecientway. In [1] the authors found that, by judiciously selecting operating modes of the H.263 video coder in response to mobile environment, lowpower consumption can be achieved while maintaining a good video quality level. In [2], the authors attempted to minimize the total energy of a wireless image transmission system by dynamically recon guring the architecture. Signi cantimprovement in performance was reported. Our previous work [3] recognizes that the optimum operating points of source coding and transmit energy ....

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M. Goel, S. Appadwedula, N. R. Shambhag, K. Ramchandran, and D. L. Jones, \A Low-power Multimedia Communication System for Indoor Wireless Applications," in #### #### ##### #### ## ###### ########## #######, 1999, pp. 473-482.

....[2] the authors adapt the channel coding parameters used to match current channel conditions, thereby increasing the average bandwidth available. An algorithm to modify the broadcast power of a power amplifier to meet QoMD requirements, thereby lowering energy consumption is proposed in [3] In [4], the authors change channel coder and power amplifier settings according to current conditions in order to lower energy consumption. While previous research has studied the effects of adapting the channel coder and power amplifier to current communication conditions and requirements, the effects ....

M. Goel, S. Appadwedula, N. R. Shanbhag, K. Ramchandran, and D. L. Jones, "A Low-power Multimedia Communication System for Indoor Wireless Applications", in 1999 IEEE Workshop on Signal Processing Systems. SiPS 99, pp. 473--82, October 1999.

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M. Goel, S. Appadwedula, N. R. Shambhag, K. Ramchandran, and D. L. Jones, "A Low-power Multimedia Communication System for Indoor Wireless Applications", In 1999 IEEE Multimedia Signal Processing Workshop, pages 473-482, 1999.

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