subset

5G 中 BWP概念

由 亡梦爱人 提交于 2021-02-01 10:52:53
NR在调度上和LTE不一样，LTE按照每个tti来调度，但是NR调度可能不是TTI了。并且带宽太大。引入了一些新的概念。从BWP开始： BWP的定义 根据38.211 4.4.5，carrier bandwidth part的定义如下： Carrier Bandwidth Part is a contiguous set of physical resource blocks,selected from a contiguous subset of the common resource blocks for a given numerology(u) on a given carrier. It can be illustrated as below. Carrier bandwidth是系统的工作带宽，而BWP则是它的一些子集。NR中最多可以分出4个BWP。图中CRB(Carrier Resource Block)可以理解为一种全局编号的资源块，它对整个工作带宽进行编号；PRB(Physical Resource Block)可以理解为一种局部编号的资源块，它仅对BWP内的资源块进行编号。 BWP定义为一个载波内连续的多个资源块(RB,Resource Block)的组合。引入BWP的概念主要还为了UE可以更好的使用打的载波带宽。对于一个大的载波带宽，比如100MHz

Subset data in a large list based on filename of the dataframes in the list

由 余生长醉 提交于 2021-01-29 18:45:57
问题 I'm working with a large list that contains 450 dataframes. I'll make an example of the names of the dataframes : ALL_SM51_SE1_hourly, ALL_SM201_SE1_hourly, ALL_SM501_SE1_hourly ALL_SM51_SE2_hourly, ALL_SM201_SE2_hourly, ALL_SM501_SE2_hourly ................................................................... ALL_SM51_SE150_hourly, ALL_SM201_SE150_hourly, ALL_SM501_SE150_hourly The dataframes contain measured soil moisture data at different depths (5cm, 20cm, 50cm, represented by "SM51, SM201,

Perfect sum problem with fixed subset size

由 ☆樱花仙子☆ 提交于 2021-01-29 15:09:51
问题 I am looking for a least time-complex algorithm that would solve a variant of the perfect sum problem (initially: finding all variable size subset combinations from an array [*] of integers of size n that sum to a specific number x ) where the subset combination size is of a fixed size k and return the possible combinations without direct and also indirect (when there's a combination containing the exact same elements from another in another order) duplicates. I'm aware this problem is NP

Subset multiple columns in R with multiple matches

由 只愿长相守 提交于 2021-01-29 14:39:08
问题 I want to do a similar thing as in this thread: Subset multiple columns in R - more elegant code? I have data that looks like this: df=data.frame(x=1:4,Col1=c("A","A","C","B"),Col2=c("A","B","B","A"),Col3=c("A","C","C","A")) criteria="A" What I want to do is to subset the data where criteria is meet in at least two columns, that is the string in at least two of the three columns is A . In the case above, the subset would be the first and last row of the data frame df . 回答1: You can use

Subsetting data by levels of granularity and applying a function to each data frame in R

由 回眸只為那壹抹淺笑 提交于 2021-01-29 11:59:17
问题 Okay, this question is a fairly long and complex (at least for me) and I have done my best to make this as clear, organized, and detailed as possible, so please bear with me... ---------------------------------------------------------------------- I currently have an overly manual process in applying a function to subsets in my data, and I would like to figure out how to make the code more efficient. It is easiest to describe the issue with an example: The variables in my data (myData): GDP

Does Laravel Dompdf support subsetting otc fonts?

由 纵然是瞬间 提交于 2021-01-29 09:39:23
问题 I've been using vsmoraes dompdf for generating pdf and I use Arial unicode MS (.ttf) which work perfectly with font subsetting enabled. Since it's not free, I tried to move to Noto Sans. But I get a error when I enable font subsetting. .ttf works fine. But not .otc #message: "Undefined index: glyf" vsmoraes version - 1.0. Is there any laravel library that I can use which support font subsettings with .otc font type ? or is there any suggestions 来源： https://stackoverflow.com/questions/54461754

Loop through various data subsets in lm() in R

由 夙愿已清 提交于 2021-01-29 04:48:00
问题 I would like to loop over various regressions referencing different data subsets, however I'm unable to appropriately call different subsets. For example: dat <- data.frame(y = rnorm(10), x1 = rnorm(10), x2 = rnorm(10), x3 = rnorm(10) ) x.list <- list(dat$x1,dat$x2,dat$x3) dat1 <- dat[-9,] fit <- list() for(i in 1:length(x.list)){ fit[[i]] <- summary(lm(y ~ x.list[[i]], data = dat))} for(i in 1:length(x.list)){ fit[[i]] <- summary(lm(y ~ x.list[[i]], data = dat1))} Is there a way to call in

R Shiny - Using Selectinput as column selection to subset data frame

由 ♀尐吖头ヾ 提交于 2021-01-28 11:10:00
问题 I am using Shiny that takes in a user's txt file. The files composition is completely up to the user - there are no set headers for the file. data_vals <- reactive({ file1 <- input$file1 if (is.null(file1))return(NULL) read.table(fill=TRUE,file=input$file1$datapath, header=TRUE, colClasses = "factor")}) From this file, I create a drop down list from the header file that the user submitted: observe({ req(input$file1) dsnames <- names(data_labels()) cb_options <- list() cb_options[dsnames] <-

Subset sum - Recover solution

由 倾然丶 夕夏残阳落幕 提交于 2021-01-28 09:02:58
问题 I have written a dynamic programming algorithm that finds the total amount of subsets that sum up to a target value. However, I am having trouble developing a function to recover the solution (that is, print out the actual subsets). For example, let's take the set [1,3,5,7,9,10] with the target 13 . My algorithm calculates that there are 3 subsets. The output table is shown in the image below. Because this is a simple set, I can manually determine which three subsets make up the target. That

How to iterate through all partitions of a list with a condition on the subsets lenghts

由 好久不见. 提交于 2021-01-28 06:23:13
问题 For certain purposes, I need to generate an iterable that lists all the partitions of a list, but with a condition on the subsets lenghts. That is, I want to partition my list in subsets of equal lenght (=3 here), except the last one if the lenght of the list isn't a multiple of 3. i.e. ['a','b','c','d','e'] should give all partitions with 2 subsets of lenght 3 and 2. Namely, if I simply use : [p for p in multiset_partitions(['a','b','c','d','e'],2)] Out: [[['a', 'b', 'c', 'd'], ['e']], [['a'
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