蘑菇
发表于 2025-3-28 15:24:28
Book 2001ject, such as edges. The less important features are interpolated. History is a collection of important events that are nonuniformly spaced in time. Historians infer between events (interpolation) and politicians and stock market analysts forecast the future from past and present events (extrapolati
彩色的蜡笔
发表于 2025-3-28 20:18:47
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过分自信
发表于 2025-3-29 02:12:36
Reconstruction of Stationary Processes Sampled at Random Times,ns at known or unknown instants. In the first case, the reconstruction depends explicitly on the known instants. In the second case, the unknown instants are modelled by random variables whose joint distributions allow to define interpolation formulas.
jumble
发表于 2025-3-29 06:34:27
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季雨
发表于 2025-3-29 07:32:31
Randomized Digital Optimal Control,such as in biological control systems or when a human being selects the sampling instants. Data may be absent at sampling instants when the sampling is governed by a stochastic process like a radar or sonar echo, or when the sampling mechanism fails. Also technical imperfections in the instrumentation may cause stochastic sampling.
六个才偏离
发表于 2025-3-29 12:15:41
1389-6938 s of an object, such as edges. The less important features are interpolated. History is a collection of important events that are nonuniformly spaced in time. Historians infer between events (interpolation) and politicians and stock market analysts forecast the future from past and present events (e
wall-stress
发表于 2025-3-29 18:25:59
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pacific
发表于 2025-3-29 20:42:10
An Introduction to Sampling Analysis,, . ., is answered by the .:.where, for . = 0, 1,…, .,.Indeed, . .(.) is the only algebraic polynomial of degree . which possesses the property.Hence the polynomial . .(.) of degree ., thus determined, is unique.
Endemic
发表于 2025-3-30 03:36:56
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BILL
发表于 2025-3-30 05:46:25
Iterative and Noniterative Recovery of Missing Samples for 1-D Band-Limited Signals,amples. Although this is in essence a nonuniform sampling problem, the methods employed differ considerably from the “infinite series” approaches. This is due to the nature of the finite-dimensional spaces in which we work, for which the matrix formulations are the most natural tool.