Please use this identifier to cite or link to this item: http://117.252.14.250:8080/jspui/handle/123456789/3262
Title: 4-Weighted ordinary least square algorithm for batch processing.
Authors: Khosa, Rakesh
Issue Date: 1987
Publisher: National Institute of Hydrology
Abstract: A deconvolution algorithm for a linear system with finite memory is developed using exponential weighting. The algorithm is developed with the idea of using it in batch mode. The solution derived is similar in nature to the ordinary least squares solution of the deconvolution problem for linear systems. The limitation of the existing procedures whereby analysis is based on a policy of equal weighting for all measured data as the process evolves is highlighted. It is suggested that this algorithm may be more suitable in total response modelling type of analysis than in a unit hydrograph type of study where events are treated in isolation.
URI: http://117.252.14.250:8080/jspui/handle/123456789/3262
Appears in Collections:National Symposium on Hydrology, 16-18 December 1987, Vol.- I at Roorkee

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