High-Dimensional Empirical Linear Prediction (Help) Toolbox: User's Guide, Version 2. 2 (Classic Reprint) - Hardcover

Andrew D. Koffman

9780267071876: High-Dimensional Empirical Linear Prediction (Help) Toolbox: User's Guide, Version 2. 2 (Classic Reprint)

Hardcover

ISBN 10: 0267071876 ISBN 13: 9780267071876

Publisher: Forgotten Books, 2019

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Excerpt from High-Dimensional Empirical Linear Prediction (Help) Toolbox: User's Guide, Version 2. 2

The High-dimensional Empirical Linear Prediction (help) Toolbox is an optimization tool designed specifically to meet the requirements of test and measurement engineers. For many electronic devices and instruments, it is not physically or economically feasible to perform exhaustive testing. Therefore, test engineers must formulate abbreviated test plans that are economical to execute but still yield accurate measures of the overall performance of the tested products. The help Toolbox incorporates a new approach for Optimizing the testing of electronic devices and instruments. The method, high-dimensional empirical linear prediction, is currently being used by mixed-signal integrated circuit manufacturers to reduce the costs of testing their products, and it is also being used at the National Institute of Standards and Technology (nist) to reduce customer's costs for selected calibration services. Examples Of products that can benefit from this approach range from multi-range precision instruments to programmable filters to integrated circuit analog-to-digital (nd) and digital-to-analog (d/a) converters. However, devices that are completely digital (digital inputs as well as outputs), are not supported.

The approach is based on a simple mathematical model that relates the device response at all candidate test conditions to a set of underlying variables. Once an accurate model has been developed, algebraic operations on the model are used to.

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