WDM_Transform | Codes to compute the WDM wavelet transform | Data Manipulation library
kandi X-RAY | WDM_Transform Summary
kandi X-RAY | WDM_Transform Summary
Codes to compute the WDM wavelet transform. The directory contains several codes and two run scripts. The scripts were developed for OS X and gcc, and may need to be modified for other hardwares. If you want to run everything, including the generation of lookup tables, type. If the lookup tables have already been generated, type. The run_all.sh script compiles all the codes then runs the codes coefficientsWDM_time.c and coefficientsWDM_freq.c to generate the lookup tables used for the fast Taylor expansion based WDM transforms. The time domain code takes a lot longer to run than the frequency domain code. These only need to be run once for a given set of WDM parameters. The WDM parameters are set in the header file wdm.h. If the lookup tables have already been generated, that step can be skipped. The run.sh script is used when the lookup tables already exits. The scripts next call the code Chirp_WDM.c. This code illustrates the four fast methods for generating the WDM transform for a binary signal using a chirplet waveform with a linear chirp. The code first computes the chirplet waveform in the time domain and saves it to the file chrp_time.dat. It then computes the WDM transform using the the TaylorT, TaylorF, and sparse T and F transforms. These are saved to the files BinaryTaylorT.dat, BinarySparseT.dat, BinaryTaylorF.dat, BinarySparseF.dat. Here the term "Binary" refers to the time-frequency grid being rectangular, as opposed to "Dyadic", which is more commonly used for discrete wavelet transforms. The scripts next call transform_time.c and transform_freq.c which are used to transform the time domain chirplet into the WDM basis using either the direct time domain transform or the direct frequency domain transform rolling an FFT of the data (with a Tukey window applied to limit leakage in the FFT). Next the scripts call the code match.c, which is used to compute the match between the time domain and frequency domain versions of the transform. This is followed by calling the match code to compare the direct frequency domain transform to the various fast transforms. The direct transform codes also write gnuplot scripts, tran.gnu and tranf.gnu, that can be used to produce images of the WDM transform.
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QUESTION
I am working with the R programming language.
I have the following dataset:
...ANSWER
Answered 2022-Apr-10 at 05:36Up front, "1,3,4" != 1
. It seems you should look to split the strings using strsplit(., ",")
.
QUESTION
I've the following table
Owner Pet Housing_Type A Cats;Dog;Rabbit 3 B Dog;Rabbit 2 C Cats 2 D Cats;Rabbit 3 E Cats;Fish 1The code is as follows:
...ANSWER
Answered 2022-Mar-15 at 08:48One approach is to define a helper function that matches for a specific animal, then bind the columns to the original frame.
Note that some wrangling is done to get rid of whitespace to identify the unique animals to query.
QUESTION
I have this data frame:
...ANSWER
Answered 2022-Mar-10 at 04:12We can use stri_replace_all_regex
to replace your color_1
into integers together with the arithmetic operator.
Here I've stored your values into a vector color_1_convert
. We can use this as the input in stri_replace_all_regex
for better management of the values.
QUESTION
I have a database with columns M1
, M2
and M3
. These M values correspond to the values obtained by each method. My idea is now to make a rank column for each of them. For M1
and M2
, the rank will be from the highest value to the lowest value and M3
in reverse. I made the output table for you to see.
ANSWER
Answered 2022-Mar-07 at 14:15Using rank
and relocate
:
QUESTION
I working on a Python project that has a DataFrame like this:
...ANSWER
Answered 2022-Feb-24 at 20:48You could use the idxmax
method on axis:
QUESTION
I would like to know of a fast/efficient way in any program (awk/perl/python) to split a csv file (say 10k columns) into multiple small files each containing 2 columns. I would be doing this on a unix machine.
...ANSWER
Answered 2021-Dec-12 at 05:22With your show samples, attempts; please try following awk
code. Since you are opening files all together it may fail with infamous "too many files opened error" So to avoid that have all values into an array and in END
block of this awk
code print them one by one and I am closing them ASAP all contents are getting printed to output file.
QUESTION
Good afternoon, friends!
I'm currently performing some calculations in R (df is displayed below). My goal is to display in a new column the first non-null value from selected cells for each row.
My df is:
...ANSWER
Answered 2022-Feb-03 at 11:16One option with dplyr
could be:
QUESTION
I am again struggling with transforming a wide df into a long one using pivot_longer
The data frame is a result of power analysis for different effect sizes and sample sizes, this is how the original df looks like:
ANSWER
Answered 2022-Feb-03 at 10:59library(tidyverse)
example %>%
pivot_longer(cols = starts_with("es"), names_to = "type", names_prefix = "es_", values_to = "es") %>%
pivot_longer(cols = starts_with("pwr"), names_to = "pwr", names_prefix = "pwr_") %>%
filter(substr(type, 1, 3) == substr(pwr, 1, 3)) %>%
mutate(pwr = parse_number(pwr)) %>%
arrange(pwr, es, type)
QUESTION
Suppose I have the following 10 variables (num_var_1, num_var_2, num_var_3, num_var_4, num_var_5, factor_var_1, factor_var_2, factor_var_3, factor_var_4, factor_var_5):
...ANSWER
Answered 2021-Dec-26 at 10:11You may define a function FUN(n)
that creates a data set as shown in OP.
QUESTION
I am trying to tidy up some data that is all contained in 1 column called "game_info" as a string. This data contains college basketball upcoming game data, with the Date, Time, Team IDs, Team Names, etc. Ideally each one of those would be their own column. I have tried separating with a space delimiter, but that has not worked well since there are teams such as "Duke" with 1 part to their name, and teams with 2 to 3 parts to their name (Michigan State, South Dakota State, etc). There also teams with "-" dashes in their name.
Here is my data:
...ANSWER
Answered 2021-Dec-16 at 15:25Here's one with regex. See regex101 link for the regex explanations
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