WDM_Transform | Codes to compute the WDM wavelet transform | Data Manipulation library

 by   eXtremeGravityInstitute C Version: Current License: No License

kandi X-RAY | WDM_Transform Summary

kandi X-RAY | WDM_Transform Summary

WDM_Transform is a C library typically used in Utilities, Data Manipulation, Nodejs, Numpy applications. WDM_Transform has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

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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              WDM_Transform has a low active ecosystem.
              It has 4 star(s) with 0 fork(s). There are 3 watchers for this library.
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              It had no major release in the last 6 months.
              WDM_Transform has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of WDM_Transform is current.

            kandi-Quality Quality

              WDM_Transform has no bugs reported.

            kandi-Security Security

              WDM_Transform has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              WDM_Transform does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

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              WDM_Transform releases are not available. You will need to build from source code and install.

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            WDM_Transform Key Features

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            WDM_Transform Examples and Code Snippets

            No Code Snippets are available at this moment for WDM_Transform.

            Community Discussions

            QUESTION

            R: Is there a "Un-Character" Command in R?
            Asked 2022-Apr-10 at 17:37

            I am working with the R programming language.

            I have the following dataset:

            ...

            ANSWER

            Answered 2022-Apr-10 at 05:36

            Up front, "1,3,4" != 1. It seems you should look to split the strings using strsplit(., ",").

            Source https://stackoverflow.com/questions/71813866

            QUESTION

            Creating new columns based on data in row separated by specific character in R
            Asked 2022-Mar-15 at 08:48

            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 1

            The code is as follows:

            ...

            ANSWER

            Answered 2022-Mar-15 at 08:48

            One 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.

            Source https://stackoverflow.com/questions/71478316

            QUESTION

            Multiplying and Adding Values across Rows
            Asked 2022-Mar-10 at 08:24

            I have this data frame:

            ...

            ANSWER

            Answered 2022-Mar-10 at 04:12

            We 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.

            Source https://stackoverflow.com/questions/71418533

            QUESTION

            How to make a rank column in R
            Asked 2022-Mar-07 at 16:19

            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 14:15

            Using rank and relocate:

            Source https://stackoverflow.com/questions/71381995

            QUESTION

            How to return the column title wherein the row contains the greatest value in Pandas Dataframe
            Asked 2022-Feb-24 at 20:56

            I working on a Python project that has a DataFrame like this:

            ...

            ANSWER

            Answered 2022-Feb-24 at 20:48

            You could use the idxmax method on axis:

            Source https://stackoverflow.com/questions/71258033

            QUESTION

            Split large csv file into multiple files based on column(s)
            Asked 2022-Feb-07 at 12:49

            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 05:22

            With 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.

            Source https://stackoverflow.com/questions/70320648

            QUESTION

            Get the first non-null value from selected cells in a row
            Asked 2022-Feb-04 at 09:55

            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 11:16

            One option with dplyr could be:

            Source https://stackoverflow.com/questions/70970158

            QUESTION

            pivot_longer with column pairs
            Asked 2022-Feb-03 at 14:02

            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 10:59
            library(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)
            

            Source https://stackoverflow.com/questions/70969176

            QUESTION

            Simulating Random Draws From a "Hat"
            Asked 2021-Dec-28 at 21:50

            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 10:11

            You may define a function FUN(n) that creates a data set as shown in OP.

            Source https://stackoverflow.com/questions/70483731

            QUESTION

            Break Apart a String into Separate Columns R
            Asked 2021-Dec-17 at 20:39

            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 15:25

            Here's one with regex. See regex101 link for the regex explanations

            Source https://stackoverflow.com/questions/70381064

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

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