===================
Unknown
-------
* v0.0.2 (`789ed95`_)
* fix docs (`8114ed2`_)
* fix tests (`42f3f4b`_)
* remove unnused (`fa4383f`_)
* fix transform (`11f435e`_)
* fix datasets (`32ea95c`_)
* add tests for freq-time domiain types, fix SNR monochromatic signal check (`e0e018c`_)
* hacking on SNR and analytical example (`cf1e441`_)
* fix SNR (`cd1e8d9`_)
* fix snr test (`8b1f232`_)
* add hacks with giorgio and ollie on sinewave testing (`20f376a`_)
* axis label (`619b55f`_)
* update log (`eabd019`_)
* refactor tests (`5d42f6b`_)
* add cbar label (`7303cdf`_)
* plotting fixes (`dd48d64`_)
* add direct WDM comparison (`f2c82a6`_)
* add branch check (`8ff9493`_)
* add branch to plot dir (`84c566e`_)
* remove unused imports (`4ee06a0`_)
* fix test (`8ccad52`_)
* Merge pull request 18 from pywavelet/get_rid_of_datatype_class_in_prep_for_jax
cleaup [prep fr jax] (`704e9c1`_)
* pytest fixes (`8697db0`_)
* all tests passing (`dc3e02f`_)
* time->wdm->time passing (`48724e1`_)
* cleaup (`2d06b46`_)
* add docs (`5ddbdc8`_)
* add roundtrip exmple (`f5976fd`_)
* fix twosied error (`7798720`_)
* fix docs (`db73d7a`_)
* refactor plotting (`65350de`_)
* typing hint fixes (`5982405`_)
* refactor dataobj (`63151a4`_)
* cleanup (`365d89a`_)
* clean up docs (`dfe3136`_)
* disable JIT for now (`5cf5f80`_)
* plot abs(residuals) (`8d87d72`_)
* refactor docs (`0de37c8`_)
* remove unused tests and consolidate (`d777222`_)
* remove CBC waveform (`fdaf7d9`_)
* Add wavelet-plotting (`fc25966`_)
* Remove LVK + LISA examples (will be in separate case studies) (`995871e`_)
* consolidate utils to evol-psd and compute_snr (`5e59153`_)
* clean up PSD test to only test evol-psd (`7976d20`_)
* move evolutionary-PSD to utils (`e6d88cd`_)
* Merge branch 'main' of github.com:pywavelet/pywavelet (`cac0da9`_)
* Update README.rst (`7093025`_)
* Update README.rst
tidied up readme for others to install (`8ea7436`_)
* remove GW170817 example (`bd55639`_)
* remove examples test (`3f763fb`_)
* fix version test (`e676e65`_)
* Merge pull request 12 from pywavelet/allow_precommit_fail
allow precommit failure (`efc5b1f`_)
* allow precommit failure (`0410893`_)
* delete waveform-generator test (`02d984d`_)
* add test (`980875b`_)
* fix formatting (`673f33c`_)
* remove wavelet_dataset (`c8c8f37`_)
* turn off CBC waveform generator (`727c47d`_)
* add logo (`7893845`_)
* Merge branch 'refactoring' (`985e9eb`_)
* add deprecation warning for ollie (`1ee69b4`_)
* rename Data->CoupledData (`dae0fb0`_)
* Merge pull request 11 from pywavelet/refactoring
refactoring: removing unsued files, moving functions around, running linter (`077e58e`_)
* removing unsued files, moving functions around, running linter (`fd88319`_)
* readying for merge (`8552f77`_)
* added in error checking for boundary (`3ee0be1`_)
* investigating non-monochromatic signals (`4411c74`_)
* added kwargs for plots, title (`0a05d8d`_)
* removed LISA example (`68bf006`_)
* fixed small bug (`53e1768`_)
* functions now jitted for speed (`fd7628e`_)
* tidied up, deleted pieces (`ca545d4`_)
* fixed bug in phi. B = dOmega - 2*A (`77666f9`_)
* Merge branch 'main' of https://github.com/avivajpeyi/pywavelet (`6253208`_)
* Merge pull request 7 from pywavelet/inverse_transforms
Inverse transforms (`6ff8501`_)
* removed bilby + pycbc (`7b58b43`_)
* removed breakpoints (`f73a3dc`_)
* removed importing bilby + pycbc (`547fd32`_)
* tidied up, removed uneccessary variables (`5e5f2e1`_)
* removed irritating breakpoints, sorry (`be9778f`_)
* added time domain inverse checks (`6d704c0`_)
* correct normalisation, mult by (2/Nf) (`a4083f4`_)
* correct normalisation now (`c77e2fe`_)
* Fixed normalisation
I was trying to be clever and include Nf/2 into the window function here.
This is not the correct noramlisation and this screwed the inverse transform up. I have
placed it in front of the wavelet transform instead. This I believe is correct (`a9a0610`_)
* corrected dimensions, backwards transform works now (`a811f24`_)
* added numba to inv funcs (`a0424ef`_)
* Fixed inverse transform (wavelet -> freq)
The dimensions were screwed up (N_t <-> N_f).
I added the lazy solution, just taking a transpose of the wavelet
coefficient matrix. This has worked. I've also included the correct
normalising constants so that it agrees with the usual FFT.
Everything is consistent now. (`a1cb77b`_)
* changed mult to 16 (`2a1f889`_)
* removed mask, fixed length (`9d6b379`_)
* removed N = len(data) bug (`da3d090`_)
* removed tukey function (`822d19b`_)
* Normalising constants, understood.
Matt's code is different from Cornish's code. For Matt's code to be consistent with our
frequency domain code, we require a normalising factor in front of the Meyer window
of the form $(Nf/2) \cdot \pi^{-1/2}$. On this specific commit, there are a load of
comments in the function phitilde_vec_norm indicating parts we need to understand.
The nice thing though is that analytically, for monochromatic signals, we now
have an expression for the wavelet coefficients $\omega_{nm} = A\sqrt{2N_{f}}$ for
n odd and m even. With the conventions above, we have verified this + checked the SNRs.
I'm now happy with this transformation code. (`501fae1`_)
* removed case studies into own repository (`7c5f347`_)
* fixed bug in residuals (`257f43d`_)
* using proper monochromatic sinusoid (`20a421d`_)
* from_wavelet_to_freq, freqs now positive (`c3b9438`_)
* changed PSD to periodigram, title (`206a5d7`_)
* fixed bug in length N (`15949df`_)
* analytical formula monochrom signal (`a04a76e`_)
* Merge pull request 6 from pywavelet/roundtrip_hacking
Roundtrip hacking (`6572581`_)
* work through NDs (`decfe7f`_)
* fix plotting issue (`6209923`_)
* var renaminng (`49cb11c`_)
* merge into one function (`fda592d`_)
* add roundtrip from t->wdm->t, t->f->wdm->f (`2f6810e`_)
* Add notes to why we cant merge this into one function (`028349e`_)
* [black] (`7cd06af`_)
* test_basic, changed dt (`7f4ece1`_)
* start fixing psd errors (`ffea941`_)
* Merge remote-tracking branch 'origin/main' (`36a7279`_)
* Merge branch 'main' of github.com:avivajpeyi/pywavelet (`dae3912`_)
* fix precommit (`9c109d8`_)
* bug found in generate_noise_from_psd, ndim (`92c20fe`_)
* fixed bug in test (`e15d5d3`_)
* all SNR tests working (`c8e651c`_)
* working with positive transform (`0d00f58`_)
* added sqrt(2)/dt into bilby waveform (`5927230`_)
* now using positive transform (`141cfac`_)
* now using positive transform (`b709b9e`_)
* testing, new commit, no change (`67948ed`_)
* comments (`d50e6e8`_)
* reorganised, no real changes (`7141a73`_)
* added script to try inverse transforms (`01c6050`_)
* extra factor sqrt(2) (`20f5d30`_)
* save plots (`0cdf9c1`_)
* remove breakpoints (`15e24f0`_)
* add pastamakers (`d65d993`_)
* remove pasta (`9024797`_)
* run precommit (`a04112e`_)
* extra comments (`4024ae6`_)
* few extra comments (`78a1f73`_)
* factor of sqrt(2) added in transform
Added in a factor of sqrt(2) to make sure that the SNRs agree. (`bc50c43`_)
* Changed FFT and fourier freqs
Ignoring windowing in the time domain. Also I am now setting freq[0] = freq[1] rather than
removing the 0th frequency bin from the DTFT. This will cause issues with the inverse transform.
setting freq[0] = freq[1] is fine since we only use this in the PSD. PSD[f = 0] = \infty so we want to
avoid using this. (`68b3eec`_)
* new file, checking inverse transforms (`0cec53c`_)
* Fixed bug for wavelet time bins
Before we were setting N = length of data, regardless of whether it is time or frequency domain.
This is only correct if we use a two-sided transform where the length of FFT = length in time domain.
For zero_padded signals (as they all should be, for speed), the rfft returns N/2 points. Hence, in order to get the
correct time bins, we need to double the data points if we take in a frequency series.
This was fine for the time domain, but incorrect for the frequency domain.
Ollie (`29665f5`_)
* Merge branch 'main' of https://github.com/avivajpeyi/pywavelet (`5dd5e0f`_)
* add snr (`416c810`_)
* ignoring .npy files gitignore (`d07ae7e`_)
* conventions sorted, delta_t dealt with (`113251b`_)
* conventions sorted, delta_t dealt with (`0c1820d`_)
* samples added (`e2b3767`_)
* working PE code, wavelets (`b1947f0`_)
* minor changes (`1596bde`_)
* analytical formulas, FFT (`0ca80ee`_)
* fix lnl (`35d2ce2`_)
* dt fix (round 1) (`ad43d13`_)
* dt hacking with ollie (`b2db4b3`_)
* pre-commit files (`3fbbaf4`_)
* Merge branch 'main' of github.com:avivajpeyi/pywavelet (`d13f219`_)
* add more tests -- hacking with Georgio (`7add237`_)
* add more tests -- hacking with Georgio (`f9fc53b`_)
* fix SNR (`5a5dff2`_)
* add SNR tests (`df6016e`_)
* add tests (`13d7dce`_)
* Merge branch 'main' of github.com:avivajpeyi/pywavelet (`31770ec`_)
* added snr test (`e50827b`_)
* add psd for lvk (`12776a4`_)
* add tests (`379bad7`_)
* hacking on snr (`73e9d42`_)
* add psd (`1f542bc`_)
* add utils (`631ab0c`_)
* add transform tests (`7b88b52`_)
* Merge remote-tracking branch 'origin/main'
Conflicts:
src/pywavelet/psd.py
src/pywavelet/transforms/types.py
src/pywavelet/utils/lisa.py
src/pywavelet/utils/snr.py
src/pywavelet/utils/wavelet_bins.py
tests/test_psd.py
tests/test_roundtrip_conversion.py
tests/test_snr.py (`750b709`_)
* add titles (`64c12c9`_)
* precommit fixes (`70e6362`_)
* add quentin PSD (`e664c48`_)
* Merge branch 'main' of github.com:avivajpeyi/pywavelet into main (`39ce268`_)
* Add noise demo (`32a3998`_)
* add more transforms (`fe01f91`_)
* add psd test (`3f5b34c`_)
* add snr fix (`4c864e2`_)
* fix transposed matrix bug (`39f7526`_)
* add tests (`bbe764f`_)
* add PSD (`56664c3`_)
* added stationary PSD (`c1f4f92`_)
* add time and freq bins (`c62bcde`_)
* add nb black formatter (`1ca831c`_)
* hacking on xarray (`30d8444`_)
* fix meta data (`f502346`_)
* temp disable snr test (`f204ad1`_)
* remove dev install (`5c2b2f4`_)
* add write permission (`62d2fd6`_)
* update release action (`d04c1e4`_)
* refactor setup --> pyproject (`26ba587`_)
* add snr hacking (`0321216`_)
* add SNR (`fa5dab0`_)
* add LnL notes (`a42daaf`_)
* refactor (`9213db2`_)
* Simplify code (`45c6aa3`_)
* add plots for CBC wavelet transforms (`2d64fbe`_)
* Add CBC example (`e495a59`_)
* add waveform-generator template (`f37b03e`_)
* add waveform-generator template (`189c510`_)
* update docs (`79f4e0e`_)
* refactor code (`37869e6`_)
* added README (`97a0402`_)
* added basic MCMC code (`bfd3a13`_)
* init (`39119b4`_)
* first commit (`02fcc81`_)
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