dorsal/arxiv
View SchemaQuantum Computation Based Probability Density Function Estimation
| Authors | Ferenc Balázs, Sándor Imre |
|---|---|
| Categories | |
| ArXiv ID | quant-ph/0409033 |
| URL | https://arxiv.org/abs/quant-ph/0409033 |
Abstract
Signal processing techniques will lean on blind methods in the near future, where no redundant, resource allocating information will be transmitted through the channel. To achieve a proper decision, however, it is essential to know at least the probability density function (pdf), which to estimate is classically a time consumption and/or less accurate hard task, that may make decisions to fail. This paper describes the design of a quantum assisted pdf estimation method also by an example, which promises to achieve the exact pdf by proper setting of parameters in a very fast way.
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"abstract": "Signal processing techniques will lean on blind methods in the near future,\nwhere no redundant, resource allocating information will be transmitted through\nthe channel. To achieve a proper decision, however, it is essential to know at\nleast the probability density function (pdf), which to estimate is classically\na time consumption and/or less accurate hard task, that may make decisions to\nfail. This paper describes the design of a quantum assisted pdf estimation\nmethod also by an example, which promises to achieve the exact pdf by proper\nsetting of parameters in a very fast way.",
"arxiv_id": "quant-ph/0409033",
"authors": [
"Ferenc Bal\u00e1zs",
"S\u00e1ndor Imre"
],
"categories": [
"quant-ph"
],
"title": "Quantum Computation Based Probability Density Function Estimation",
"url": "https://arxiv.org/abs/quant-ph/0409033"
},
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