On the uniqueness of a quadratic programming-based solution to linear regression estimation from quantized measurements
Overview & Synopsis
As a complement to a recently proposed quadratic programming (QP)-based method for linear regression estimation from quantized or binary data, this report presents a complete input condition ensuring the uniqueness of result of the QP-based method.
Indexed from repository: HAL Open Science
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hal.science)
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Document Information
| Document Title | On the uniqueness of a quadratic programming-based solution to linear regression estimation from quantized measurements |
|---|---|
| Author / Organization | Qinghua Zhang, Jiandong Wang |
| Subject & Discipline | Multidisciplinary Academic Open Research |
| Categories | Science & Mathematics |
| Publication Year | 2012 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
HAL Open Science
(hal.science)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-161686 |
| Original Source Link | Visit Source Page on hal.science » |