DSpace Repository

4-Weighted ordinary least square algorithm for batch processing.

Show simple item record

dc.contributor.author Khosa, Rakesh
dc.date.accessioned 2019-08-01T06:52:45Z
dc.date.available 2019-08-01T06:52:45Z
dc.date.issued 1987
dc.identifier.uri http://117.252.14.250:8080/jspui/handle/123456789/3262
dc.description.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. en_US
dc.language.iso en en_US
dc.publisher National Institute of Hydrology en_US
dc.title 4-Weighted ordinary least square algorithm for batch processing. en_US
dc.type Technical Report en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account