PyWavelets, wavelet transform module
Project description
PyWavelets is a Python wavelet transforms module that includes:
- nD Forward and Inverse Discrete Wavelet Transform (DWT and IDWT)
- 1D and 2D Forward and Inverse Stationary Wavelet Transform (Undecimated Wavelet Transform)
- 1D and 2D Wavelet Packet decomposition and reconstruction
- 1D Continuous Wavelet Tranfsorm
- Computing Approximations of wavelet and scaling functions
- Over 100 built-in wavelet filters and support for custom wavelets
- Single and double precision calculations
- Real and complex calculations
- Results compatible with Matlab Wavelet Toolbox (TM)
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
PyWavelets-1.3.0.tar.gz
(4.6 MB
view hashes)
Built Distributions
Close
Hashes for PyWavelets-1.3.0-cp310-cp310-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 437806465cfa5f2d91809ec13154be050b84a11025784a6b6ce04ac452872b36 |
|
MD5 | c89dfc354aa1fe1ddc159b332a5b8f7c |
|
BLAKE2-256 | ff3ab6fc719ac2784498de367582c2a2e45ef7928a4fadb403920b68706e887b |
Close
Hashes for PyWavelets-1.3.0-cp310-cp310-win32.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6ecfe051ccb097c2dcdcb0977e0a684e76144d6694a202badf0780143d8536f0 |
|
MD5 | 68ff20bacf63e34be7febe1265eba375 |
|
BLAKE2-256 | 67248ee26d968150d17897393791f368ef623793ba701499ae5977fae26ce5f2 |
Close
Hashes for PyWavelets-1.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | c98ac1cee6276db05768e450dc3002033be6c2819c906103a974e0fb0d436f41 |
|
MD5 | 3d9dc7190601b5ff68ea9bc36b7c5d8f |
|
BLAKE2-256 | 784831d5634b2318df120e4533eeef6ecdca8b46bdf28a636b32c31a23dee55f |
Close
Hashes for PyWavelets-1.3.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | e8876764e349673ee8d48bc3cd0afd2f9f7b65378998e2665af12c277c8a56de |
|
MD5 | 15e4a67901802a08f412fc6e1d7a500d |
|
BLAKE2-256 | 9a6e3a93a2978e6b7e076f21c5bb00a94260027772a281b92239011d24398eb1 |
Close
Hashes for PyWavelets-1.3.0-cp310-cp310-macosx_11_0_arm64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 35a945bea9da6db9755e42e06e871846514ae91bde3ae24a08a1d090b003a23b |
|
MD5 | b802d515eaddad86f40462f5233d2a06 |
|
BLAKE2-256 | 728c0825b908457b9f8a1bef9fad0d71d9ee8fe845b7b6c6ebc684ac8a4a32d6 |
Close
Hashes for PyWavelets-1.3.0-cp310-cp310-macosx_10_13_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3eeffcf2f7eebae5cc27cb11a7d0d96118e2e9f75ac38ff1a05373d5fe75accb |
|
MD5 | 9c1b2356e49a382ef86e6241c340148a |
|
BLAKE2-256 | 678123ed048687321f63901f4707386b099987365ade0dc521c395e30e4e043d |
Close
Hashes for PyWavelets-1.3.0-cp310-cp310-macosx_10_13_universal2.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | eebaa9c28600da336743fefd650332460c132792660e70eb09abf343b0664b87 |
|
MD5 | 8d36f2cc57cb2aa653a1b9b2f6982a53 |
|
BLAKE2-256 | a7da5b8f101523f30cf76c391da58915bde535b62322bc71aaa66943887e7b38 |
Close
Hashes for PyWavelets-1.3.0-cp39-cp39-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | a354979e2ee8cd71a8952ded381f3d9f981692b73c6842bcc6c9f64047e0a5be |
|
MD5 | f8cb3f209d203ac40b649d01e423865e |
|
BLAKE2-256 | 2ee13f6fe88d13f8ab6f481cf2c4a47a605e108d1c3c82ce00f809e862344edb |
Close
Hashes for PyWavelets-1.3.0-cp39-cp39-win32.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | de67deb275474094e160900ab7e07f2a721b9cd351cf3826c4a3ab89bb71d4b3 |
|
MD5 | 0ca115db9d6bbc31f578ebb2969d8539 |
|
BLAKE2-256 | 313dec67d2bbb2670082d607c7bf6ab8d45fa3b2419aba92376e5289a1047e35 |
Close
Hashes for PyWavelets-1.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | a486160f83efd8517cd748796adbab7c445ee8a3e1d168b4b8b60ed0f5aee3a0 |
|
MD5 | f90c6956654bbf7efe76e9cc50badca9 |
|
BLAKE2-256 | 45fd1ad6a2c2b9f16d684c8a21e92455885891b38c703b39f13916971e9ee8ff |
Close
Hashes for PyWavelets-1.3.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 38cc635c08a050e175a492e66c9b63a8e1f42254e6879e614b6c9d8d69e0887f |
|
MD5 | 68e22537f6407ed647fa08548ed1b07e |
|
BLAKE2-256 | 9e67507ffecc1d9eaff500be8ef201b1082047b892c13a98298e38171ce18872 |
Close
Hashes for PyWavelets-1.3.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | f6e7d969a6ef64ae8be1766b0b0e32debb13424543d331911b8d7e967d60dd42 |
|
MD5 | 5afb05e893efa8ff5d07adeb9996075a |
|
BLAKE2-256 | 0ce525ba64858527e6261e56fe76ad1c7a528c8f3f424c9364d97c61c3867f43 |
Close
Hashes for PyWavelets-1.3.0-cp39-cp39-macosx_11_0_arm64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 0ed3afbda88498b3ea3c861bf5b55e4feca41747730a71a22102ed5a74d1e453 |
|
MD5 | 7bd87ac78e6bac3206aaed6f4627aa72 |
|
BLAKE2-256 | 7dd42fd75d3d69047fc6eac05b77c3d343b4c2ec9d7c0b8057c53d3bfd964c18 |
Close
Hashes for PyWavelets-1.3.0-cp39-cp39-macosx_10_13_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | fccf468c55427828a3c534b651311f2759210836491c1112e1548e1babe368a5 |
|
MD5 | 012baacfebea38094af4c87a31d8f04b |
|
BLAKE2-256 | 8121f45626515c322ff8c221c63e6ff2b528f93ee59ea2d8851dc89b1fd91225 |
Close
Hashes for PyWavelets-1.3.0-cp39-cp39-macosx_10_13_universal2.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 84c58a179bdb9fc71039b1f68bcd0718a7d9814b5e3741d7681d3e027bb81b52 |
|
MD5 | 41b44d20e2d23afaa7b4292348196879 |
|
BLAKE2-256 | 5c78f4ce8d49fd775d3fc389d008901a312992769499e224ada13cab77cc2c03 |
Close
Hashes for PyWavelets-1.3.0-cp38-cp38-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3383d106fa8da0c2df30401ad056cd7a11b76d885f4bfa16ca7bcc6b4ca2831c |
|
MD5 | d6f40b0cc2d72d9b4d1ee9248e112766 |
|
BLAKE2-256 | 2853d8eaf1ffe27fb239c61c1b73a8f936bc7e66632b8cab08b5bdedb9fdeda5 |
Close
Hashes for PyWavelets-1.3.0-cp38-cp38-win32.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 27e99818d3c26481de3c68dbe880a7fcafe661cc031b22eff4a64237fe17a7ff |
|
MD5 | c4e16fe33e35e1153a4c7a5ca6e3c2be |
|
BLAKE2-256 | a837f2ed3819e8d4091cb021f9fcdb30c4266cb0625c0a34e8678e6d66fde6f1 |
Close
Hashes for PyWavelets-1.3.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | d7369597e1b1d125eb4b458a36cef052beed188444e55ed21445c1196008e200 |
|
MD5 | e3da72ac2c9addde772179a4622e2775 |
|
BLAKE2-256 | 4b2004a0a3e43a45a459c2bcde756833b2eca9430729e89d65da35f70e99e997 |
Close
Hashes for PyWavelets-1.3.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | a51225d24811ba7ef5184c03bb7072db0aa9651c4370a115d4069dedfb8d2f7a |
|
MD5 | d082aa038e28a4cc67bfb1a6276334cd |
|
BLAKE2-256 | 252ceae94f875a0f6a60baa3907563c0c685bc17d23cae1b92fa5404d66adbd2 |
Close
Hashes for PyWavelets-1.3.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 307ab8a4c3e5c2b8f7d3d371de4a5f019cf4b030b897c3394a4a7ad157369367 |
|
MD5 | a6107a35eec8333cfa26d7964de5e1bf |
|
BLAKE2-256 | 3cf4b14e863a7f4b146c090d9c70cd130938c4616fbc02877eef4fc747abe6a5 |
Close
Hashes for PyWavelets-1.3.0-cp38-cp38-macosx_11_0_arm64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 69e9a46facf89b51e5700d10f6d831f29745471c1ab42917f2f849a257b9fd77 |
|
MD5 | 04bc4cff653585fcc0c7dc9a736e9df8 |
|
BLAKE2-256 | 96e2a4c51bb664f3605ef7a1ca644606fd95e8ea416519585f863a99ecb7678b |
Close
Hashes for PyWavelets-1.3.0-cp38-cp38-macosx_10_13_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | a555a7a85da01357d8258cb45f751881f69013f8920f8738718c60cf8a47b755 |
|
MD5 | 9dd4797c0f3bc2981c893172a1692807 |
|
BLAKE2-256 | 0980a85831bbf6dcd886435726822b972de7bd533fc0e71bb9a205d02d71684a |
Close
Hashes for PyWavelets-1.3.0-cp38-cp38-macosx_10_13_universal2.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8a5941d1f4eb1bc9569c655b63ecb31aa15b3ef0fc9b57df275892c39bccc59e |
|
MD5 | adea2b9d3462e54d5b57a9cb322f7d04 |
|
BLAKE2-256 | ea16f74ccb794053560dcb0a50d65f29c9c607ca9d8859ed4489e5a6df671303 |
Close
Hashes for PyWavelets-1.3.0-cp37-cp37m-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 91e1b220f0ddd4c127bab718363c2c4a07dbcd95b9c4bfed09a3cdae47dbba43 |
|
MD5 | 45fe6e29c88b365e3289521e88697d43 |
|
BLAKE2-256 | 7c0c89dea7fed4a6cd3e6f5ade93c7d645a2991a0483916f161a9d72a0d817f8 |
Close
Hashes for PyWavelets-1.3.0-cp37-cp37m-win32.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3d3ecc2ee87be94fb2dc8c2d35bcae3f24708677196e80028d24ba0fd2f6a70a |
|
MD5 | 597f7585bf23e0f942d0466490e3ed36 |
|
BLAKE2-256 | bc3bb6484edb1c0a0b7fb8e461331ab8ea9aa03d98ec54ad11cf187c5e6fd816 |
Close
Hashes for PyWavelets-1.3.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | d4f9ed4f175c66c9b8646a93fd54c588fd8f4b2517f53c59aea5cdf370f9c9ba |
|
MD5 | ec9c2fc7e77c6b6931b0e80abdfb1c07 |
|
BLAKE2-256 | 96eef062fc1f2fbc99a38d1af52548b6ba3b0c88588c3de9ef120b5bf9f22270 |
Close
Hashes for PyWavelets-1.3.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5b76731d2077242611b32f2e11c72adbf126b432ceae92e2ce8d0f693974c96d |
|
MD5 | 6d172001cdfafb570829b489667e9f4b |
|
BLAKE2-256 | ae564441877073d8a5266dbf7b04c7f3dc66f1149c8efb9323e0ef987a9bb1ce |
Close
Hashes for PyWavelets-1.3.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 41e4f0a3a6a088e955006513fe72f863cea3ce293033131cacb8a1a3068ed228 |
|
MD5 | 03da6fb758b59701e8c06ef04c10ddd1 |
|
BLAKE2-256 | 58b2fe7fe17428366f9274ced66d9885ea496796271b907a1b879ec2ea1f36d6 |
Close
Hashes for PyWavelets-1.3.0-cp37-cp37m-macosx_10_13_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3c4ebe7ff2c9092f6bdd1f8bf98ce2745f5d43a9936d6e342ee83fbcae548116 |
|
MD5 | 3f408f98483acc02832519be42697dcc |
|
BLAKE2-256 | f9251587f04d6805e2b115be398e023b7e68478b570aaa2c92948b98d7d2571c |