求翻译:regularly spaced time samples and U is a matrix with as many columns是什么意思?待解决 悬赏分:1 - 离问题结束还有 regularly spaced time samples and U is a matrix with as many columns问题补充:匿名 2013-05-23 12:26:38 定期间隔的时间样本和 U 是一个矩阵的列数热门同步练习册答案初...
SPATIAL VARIATION MODELING OF REGULARLY SPACED SOIL PROPERTY DATA IN ONE DIMENSION (TIME SERIES ANALYSIS)Soil mechanicsSoils -- Plastic propertiestextThesis-Reproduction (electronicCopyright 漏 is held by the author. Digital access to this material is made possible by the University Libraries, University...
It is not uncommon for a dataset to have a regularly spaced temporal distribution. For instance, you might have yearly data that all falls on January 1 of each year, or monthly data that is all time stamped the first of each month. This kind of data is often referred to as panel data...
aA second speed adaptation technique can be developed using the PLL approximation described in the previous section. In this case, the 2-level quantizer in the loop is replaced by a multilevel quantizer, and its output is examined at regularly-spaced intervals. 第二个速度适应技术可以使用在前面的...
The housing 202 (and insert 204) may be formed of any suitable material, as the present invention is not limited in this regard. For example, the housing may be formed of materials that are easily manufactured, low cost and light-weight. In one embodiment, the housing and/or insert are ...
The messages indicate whether there is temporal bias in the first or last time step. One solution is to create a selection set of your data so that it does fall evenly within the desired Time Step Interval. It is not uncommon for a dataset to have a regularly spaced temporal distributi...
which does not require a clock recovery device to recover the timing signal from the data bits.Instead, the network data signal can be input directly to the time interval counter (TIC).The measured data are often unevenly spaced as the data bits of 1 and 0 are not distributed regularly. ...
We address the problem of finding a natural continuous time Markov type process—in open populations—that best captures the information provided by an open Markov chain in discrete time which is usually the sole possible observation from data. Given the
Many time-series smoothing methods can be used for reducing noise and extracting plant phenological parameters from remotely-sensed data, but there is still no conclusive evidence in favor of one method over others. Here we use moderate-resolution imagin
To define regularly spaced stops, parse an object with interval and timeExtent properties with types TimeInterval and TimeExtent respectively. The timeExtent property is optional and used to confine stops to a certain date range. This property is useful to commence stops on a specific day ...