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dc.contributor.authorMoose, Paul H.
dc.contributor.authorBassiouni, A-A. M.
dc.date1987-10
dc.date.accessioned2013-02-27T23:28:56Z
dc.date.available2013-02-27T23:28:56Z
dc.date.issued1987-10
dc.identifier.urihttp://hdl.handle.net/10945/29093
dc.description.abstractThe method of successive substitution is shown applicable to solve for the classical minimum distortion quantizer parameters. The method is self converging and parameters can be calculated to any desired accuracy. The minimum distortion quantizer parameters, as well as parameters based on other criterion such as quantizers for signal detection, minimum risk quantizers and quantizers for LMMS estimation can be solved by Max's trial and error technique. There are also many other approximation methods to calculate the quantizer parameters. This report applies the method of successive substitution and its modifications to solve for the Lloyd-Max quantizer parameters. It is more accurate and computationally more efficient than the previously reported methods. It is shown to easily generate 7 bit (128 level) optimum quantization. The Lloyd-Max minimum mean square distortion quantizer problem deals with transforming a random variable X of differentiable probability density function f(x) into the N-level discrete random variable Yen_US
dc.description.urihttp://archive.org/details/solutionoflloydm00moos
dc.format.extent35 p. ; 28 cm.en_US
dc.language.isoen_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.subject.lcshQUANTIZATION.en_US
dc.titleSolution of the Lloyd-Max quantizer parameters by the method of successive substitutionen_US
dc.typeTechnical Reporten_US
dc.contributor.corporateNaval Postgraduate School (U.S.).
dc.contributor.departmentDept. of Electrical and Computer Engineering
dc.description.recognitionNAen_US
dc.identifier.oclca190365
dc.identifier.npsreportNPS-62-88-004


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