This paper deals with the problem of combining equalization with decoding in channels which have severe intersymbol interference. A multilayer neural net structure is proposed to achieve the process of equalization and decoding simultaneously. Experimental examples show that this method results in a substantial improvement over the more conventional methods of performing equalization and decoding.
The aim of a neural net is to partition the data space into near optimal decision regions. Learning such a partitioning solely from examples has proven to be a very hard problem (Blum and Rivest 1988; Judd 1988). To remedy this, we use the idea of supplying hints to the network—as discussed by Abu-Mostafa (1990). Hints reduce the solution space, and as a consequence speed up the learning process. The minimum Hamming distance between the patterns serves as the hint. Next, it is shown how to learn such a hint and how to incorporate it into the learning algorithm. Modifications in the net structure and its operation are suggested, which allow for a better generalization. The sensitivity to errors in such a hint is studied through some simulations.
Abstract-The measurement of call quality from end users perspective is emerging area of research on speech quality in telecommunication networks. Our idea is focused at deriving and developing a system to measure certain call parameters during the call and provide average scores at the end of the call. Call quality for the bundle of calls is derived based on the aggregation of successful call parameters which gives the overall call quality measure. The call parameters used in our research were Signal Strength, the successful call rate, normal drop call rate, handover drop rate. GPS coordinates are also used to locate the location and quality of the individual calls. Also a model using the sms feature for tackling the critical quality has been proposed and implemented. Finally the basic bandwidth quality measurement approach is presented which addresses the issue of low bandwidth quality with respect to both user and the operator.Index Terms-Call quality measurement, signal strength, successful call rate, normal drop call rate, handover drop rate, lac(location area code), bandwidth quality.
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