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<div class="section" id="pywavelets-0-5-0-release-notes">
<h1><a class="toc-backref" href="#id1">PyWavelets 0.5.0 Release Notes</a><a class="headerlink" href="#pywavelets-0-5-0-release-notes" title="Permalink to this headline">¶</a></h1>
<div class="contents topic" id="contents">
<p class="topic-title first">Contents</p>
<ul class="simple">
<li><a class="reference internal" href="#pywavelets-0-5-0-release-notes" id="id1">PyWavelets 0.5.0 Release Notes</a><ul>
<li><a class="reference internal" href="#new-features" id="id2">New features</a><ul>
<li><a class="reference internal" href="#d-continous-wavelet-transforms" id="id3">1D Continous Wavelet Transforms</a></li>
<li><a class="reference internal" href="#new-discrete-wavelets" id="id4">New discrete wavelets</a></li>
<li><a class="reference internal" href="#new-extension-mode-reflect" id="id5">New extension mode: reflect</a></li>
<li><a class="reference internal" href="#multilevel-dwt-coefficient-handling" id="id6">Multilevel DWT Coefficient Handling</a></li>
<li><a class="reference internal" href="#more-c-function-calls-release-the-gil" id="id7">More C function calls release the GIL</a></li>
<li><a class="reference internal" href="#multilevel-wavelet-transforms-along-specific-axes" id="id8">Multilevel wavelet transforms along specific axes</a></li>
<li><a class="reference internal" href="#faster-multilevel-stationary-wavelet-transforms" id="id9">Faster multilevel stationary wavelet transforms</a></li>
</ul>
</li>
<li><a class="reference internal" href="#deprecated-features" id="id10">Deprecated features</a></li>
<li><a class="reference internal" href="#backwards-incompatible-changes" id="id11">Backwards incompatible changes</a></li>
<li><a class="reference internal" href="#bugs-fixed" id="id12">Bugs Fixed</a></li>
<li><a class="reference internal" href="#other-changes" id="id13">Other changes</a></li>
<li><a class="reference internal" href="#authors" id="id14">Authors</a><ul>
<li><a class="reference internal" href="#issues-closed-for-v0-5-0" id="id15">Issues closed for v0.5.0</a></li>
<li><a class="reference internal" href="#pull-requests-for-v0-5-0" id="id16">Pull requests for v0.5.0</a></li>
</ul>
</li>
</ul>
</li>
</ul>
</div>
<p>PyWavelets is a Python toolbox implementing both discrete and continuous
wavelet transforms (mathematical time-frequency transforms) with a wide range
of built-in wavelets. C/Cython are used for the low-level routines, enabling
high performance. Key Features of PyWavelets are:</p>
<blockquote>
<div><ul class="simple">
<li>1D, 2D and nD Forward and Inverse Discrete Wavelet Transform (DWT and IDWT)</li>
<li>1D, 2D and nD Multilevel DWT and IDWT</li>
<li>1D and 2D Forward and Inverse Stationary Wavelet Transform</li>
<li>1D and 2D Wavelet Packet decomposition and reconstruction</li>
<li>1D Continuous Wavelet Transform</li>
<li>When multiple valid implementations are available, we have chosen to maintain consistency with MATLAB™’s Wavelet Toolbox.</li>
</ul>
</div></blockquote>
<p>PyWavelets 0.5.0 is the culmination of 1 year of work. In addition to
several new features, substantial refactoring of the underlying C and Cython
code have been made.</p>
<p>This release requires Python 2.6, 2.7 or 3.3-3.5 and NumPy 1.9.1 or greater.
This will be the final release supporting Python 2.6 and 3.3.</p>
<p>Highlights of this release include:</p>
<ul class="simple">
<li>1D continuous wavelet transforms</li>
<li>new discrete wavelets added (additional Debauchies and Coiflet wavelets)</li>
<li>new ‘reflect’ extension mode for discrete wavelet transforms</li>
<li>faster performance for multilevel forward stationary wavelet transforms (SWT)</li>
<li>n-dimensional support added to forward SWT</li>
<li>routines to convert multilevel DWT coefficients to and from a single array</li>
<li>axis support for multilevel DWT</li>
<li>substantial refactoring/reorganization of the underlying C and Cython code</li>
</ul>
<div class="section" id="new-features">
<h2><a class="toc-backref" href="#id2">New features</a><a class="headerlink" href="#new-features" title="Permalink to this headline">¶</a></h2>
<div class="section" id="d-continous-wavelet-transforms">
<h3><a class="toc-backref" href="#id3">1D Continous Wavelet Transforms</a><a class="headerlink" href="#d-continous-wavelet-transforms" title="Permalink to this headline">¶</a></h3>
<p>A wide range of continous wavelets are now available. These include the
following:</p>
<ul class="simple">
<li>Gaussian wavelets (<code class="docutils literal notranslate"><span class="pre">gaus1</span></code>…``gaus8``)</li>
<li>Mexican hat wavelet (<code class="docutils literal notranslate"><span class="pre">mexh</span></code>)</li>
<li>Morlet wavelet (<code class="docutils literal notranslate"><span class="pre">morl</span></code>)</li>
<li>Complex Gaussian wavelets (<code class="docutils literal notranslate"><span class="pre">cgau1</span></code>…``cgau8``)</li>
<li>Shannon wavelet (<code class="docutils literal notranslate"><span class="pre">shan</span></code>)</li>
<li>Frequency B-Spline wavelet (<code class="docutils literal notranslate"><span class="pre">fbsp</span></code>)</li>
<li>Complex Morlet wavelet (<code class="docutils literal notranslate"><span class="pre">cmor</span></code>)</li>
</ul>
<p>Also, see the new CWT-related demo: demo/cwt_analysis.py</p>
</div>
<div class="section" id="new-discrete-wavelets">
<h3><a class="toc-backref" href="#id4">New discrete wavelets</a><a class="headerlink" href="#new-discrete-wavelets" title="Permalink to this headline">¶</a></h3>
<p>Additional Debauchies wavelets (<code class="docutils literal notranslate"><span class="pre">db20</span></code>…``db38``) and Coiflets
(<code class="docutils literal notranslate"><span class="pre">coif6</span></code>…``coif17``) have been added.</p>
</div>
<div class="section" id="new-extension-mode-reflect">
<h3><a class="toc-backref" href="#id5">New extension mode: reflect</a><a class="headerlink" href="#new-extension-mode-reflect" title="Permalink to this headline">¶</a></h3>
<p>Discrete wavelet transforms support a new extension mode, <code class="docutils literal notranslate"><span class="pre">reflect</span></code>. This
mode pads an array symmetrically, but without repeating the edge value. As an
example:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span> <span class="n">pad</span> <span class="n">array</span> <span class="n">pad</span>
<span class="mi">4</span> <span class="mi">3</span> <span class="mi">2</span> <span class="o">|</span> <span class="mi">1</span> <span class="mi">2</span> <span class="mi">3</span> <span class="mi">4</span> <span class="mi">5</span> <span class="o">|</span> <span class="mi">4</span> <span class="mi">3</span> <span class="mi">2</span>
</pre></div>
</div>
<p>This differs from <code class="docutils literal notranslate"><span class="pre">symmetric</span></code>, which repeats the values at the boundaries:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span> <span class="n">pad</span> <span class="n">array</span> <span class="n">pad</span>
<span class="mi">3</span> <span class="mi">2</span> <span class="mi">1</span> <span class="o">|</span> <span class="mi">1</span> <span class="mi">2</span> <span class="mi">3</span> <span class="mi">4</span> <span class="mi">5</span> <span class="o">|</span> <span class="mi">5</span> <span class="mi">4</span> <span class="mi">3</span>
</pre></div>
</div>
</div>
<div class="section" id="multilevel-dwt-coefficient-handling">
<h3><a class="toc-backref" href="#id6">Multilevel DWT Coefficient Handling</a><a class="headerlink" href="#multilevel-dwt-coefficient-handling" title="Permalink to this headline">¶</a></h3>
<p>New routines to convert the coefficients returned by multilevel DWT routines
to and from a single n-dimensional array have been added.
<code class="docutils literal notranslate"><span class="pre">pywt.coeffs_to_array</span></code> concatenates the output of <code class="docutils literal notranslate"><span class="pre">wavedec</span></code>, <code class="docutils literal notranslate"><span class="pre">wavedec2</span></code>
or <code class="docutils literal notranslate"><span class="pre">wavedecn</span></code> into a single numpy array. <code class="docutils literal notranslate"><span class="pre">pywt.array_to_coeffs</span></code> can be
used to transform back from a single coefficient array to a format appropriate
for <code class="docutils literal notranslate"><span class="pre">waverec</span></code>, <code class="docutils literal notranslate"><span class="pre">waverec2</span></code> or <code class="docutils literal notranslate"><span class="pre">waverecn</span></code>.</p>
</div>
<div class="section" id="more-c-function-calls-release-the-gil">
<h3><a class="toc-backref" href="#id7">More C function calls release the GIL</a><a class="headerlink" href="#more-c-function-calls-release-the-gil" title="Permalink to this headline">¶</a></h3>
<p>Cython code calling the wavelet filtering routines (DWT and SWT) now releases
the global interpreter lock (GIL) where possible. A potential use case is in
speeding up the batch computation of several large DWTs using multi-threading
(e.g. via concurrent.futures).</p>
</div>
<div class="section" id="multilevel-wavelet-transforms-along-specific-axes">
<h3><a class="toc-backref" href="#id8">Multilevel wavelet transforms along specific axes</a><a class="headerlink" href="#multilevel-wavelet-transforms-along-specific-axes" title="Permalink to this headline">¶</a></h3>
<p>The axis specific transform support introduced in the prior release was
extended to the multilevel DWT transforms. All <code class="docutils literal notranslate"><span class="pre">wavedec*</span></code> and <code class="docutils literal notranslate"><span class="pre">waverec*</span></code>
routines have a new <cite>axis</cite> (1D) or <cite>axes</cite> (2D, nD) keyword argument. If
unspecified the default behaviour is to transform all axes of the input.</p>
</div>
<div class="section" id="faster-multilevel-stationary-wavelet-transforms">
<h3><a class="toc-backref" href="#id9">Faster multilevel stationary wavelet transforms</a><a class="headerlink" href="#faster-multilevel-stationary-wavelet-transforms" title="Permalink to this headline">¶</a></h3>
<p>Stationary wavelet transforms are now faster when the number of levels is
greater than one. The improvement can be very large (multiple orders of
magnitude) for transforms with a large number of levels.</p>
</div>
</div>
<div class="section" id="deprecated-features">
<h2><a class="toc-backref" href="#id10">Deprecated features</a><a class="headerlink" href="#deprecated-features" title="Permalink to this headline">¶</a></h2>
</div>
<div class="section" id="backwards-incompatible-changes">
<h2><a class="toc-backref" href="#id11">Backwards incompatible changes</a><a class="headerlink" href="#backwards-incompatible-changes" title="Permalink to this headline">¶</a></h2>
<p>A FutureWarning was added to <code class="docutils literal notranslate"><span class="pre">swt2</span></code> and <code class="docutils literal notranslate"><span class="pre">iswt2</span></code> to warn about a pending
backwards incompatible change to the order of the coefficients in the list
returned by these routines. The actual change will not occur until the next
release. Transform coefficients will be returned in descending rather than
ascending order. This change is being made for consistency with all other
existing multi-level transforms in PyWavelets.</p>
</div>
<div class="section" id="bugs-fixed">
<h2><a class="toc-backref" href="#id12">Bugs Fixed</a><a class="headerlink" href="#bugs-fixed" title="Permalink to this headline">¶</a></h2>
<p><code class="docutils literal notranslate"><span class="pre">demo/image_blender.py</span></code> was updated to support the new api of Pillow 3.x</p>
<p>A bug related to size of assumed <code class="docutils literal notranslate"><span class="pre">size_t</span></code> on some platforms/compilers
(e.g. Windows with mingw64) was fixed.</p>
<p>Fix to memory leak in <code class="docutils literal notranslate"><span class="pre">(i)dwt_axis</span></code></p>
<p>Fix to a performance regression in <code class="docutils literal notranslate"><span class="pre">idwt</span></code> and <code class="docutils literal notranslate"><span class="pre">iswt</span></code> that was introduced
in v0.4.0.</p>
<p>Fixed a bug in <code class="docutils literal notranslate"><span class="pre">dwtn</span></code> and <code class="docutils literal notranslate"><span class="pre">idwtn</span></code> for data with complex dtype when
<code class="docutils literal notranslate"><span class="pre">axes</span> <span class="pre">!=</span> <span class="pre">None</span></code>.</p>
</div>
<div class="section" id="other-changes">
<h2><a class="toc-backref" href="#id13">Other changes</a><a class="headerlink" href="#other-changes" title="Permalink to this headline">¶</a></h2>
<p>The minimum supported numpy version has been increased to 1.9.1.</p>
<p>Test coverage (including for the Cython and C code) via
<a class="reference external" href="https://codecov.io/">Codecov</a> was added and the overall test coverage has
been improved.</p>
<p>A substantial overhaul of the C extension code has been performed. Custom
templating is no longer used. The intention is to make this code easier to
maintain and expand in the future.</p>
<p>The Cython code has been split out into a multiple files to hopefully make
relevant portions of the wrappers easier to find for future developers.</p>
<p><code class="docutils literal notranslate"><span class="pre">setup.py</span></code> now relies on setuptools in all cases (rather than distutils).</p>
</div>
<div class="section" id="authors">
<h2><a class="toc-backref" href="#id14">Authors</a><a class="headerlink" href="#authors" title="Permalink to this headline">¶</a></h2>
<ul class="simple">
<li>Jonathan Dan +</li>
<li>Ralf Gommers</li>
<li>David Menéndez Hurtado</li>
<li>Gregory R. Lee</li>
<li>Holger Nahrstaedt +</li>
<li>Daniel M. Pelt +</li>
<li>Alexandre Saint +</li>
<li>Scott Sievert +</li>
<li>Kai Wohlfahrt</li>
<li>Frank Yu +</li>
</ul>
<p>A total of 10 people contributed to this release.
People with a “+” by their names contributed a patch for the first time.
This list of names is automatically generated, and may not be fully complete.</p>
<div class="section" id="issues-closed-for-v0-5-0">
<h3><a class="toc-backref" href="#id15">Issues closed for v0.5.0</a><a class="headerlink" href="#issues-closed-for-v0-5-0" title="Permalink to this headline">¶</a></h3>
<ul class="simple">
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/issues/48">#48</a>: Continous wavelet transform?</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/issues/127">#127</a>: Reorganize _pywt</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/issues/160">#160</a>: Appveyor failing on recent PRs</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/issues/163">#163</a>: Set up coveralls</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/issues/166">#166</a>: Wavelet coefficients to single array (and vice versa?)</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/issues/177">#177</a>: Fail to install pywt due to the use of index_t which conflict with the defination in /usr/include/sys/types.h on smartos sysmte(open solaris like system)</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/issues/180">#180</a>: Memory leak</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/issues/187">#187</a>: ‘reflect’ signal extension mode</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/issues/189">#189</a>: bump minimum numpy version?</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/issues/191">#191</a>: Upgrade removed Pillow methods</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/issues/196">#196</a>: building in-place for development.</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/issues/200">#200</a>: swt implementation is considerably slower than MATLAB</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/issues/209">#209</a>: broken doctests</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/issues/210">#210</a>: Run doctests in CI setup</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/issues/211">#211</a>: Typo in iswt documentation</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/issues/217">#217</a>: <cite>blank_discrete_wavelet</cite> does not properly intiailize some properties</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/issues/231">#231</a>: I can’t compile pywt</li>
</ul>
</div>
<div class="section" id="pull-requests-for-v0-5-0">
<h3><a class="toc-backref" href="#id16">Pull requests for v0.5.0</a><a class="headerlink" href="#pull-requests-for-v0-5-0" title="Permalink to this headline">¶</a></h3>
<ul class="simple">
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/pull/148">#148</a>: Reorganize C v2</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/pull/161">#161</a>: Remove numpy distutils</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/pull/162">#162</a>: fix: iswt/idwt performance regression</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/pull/164">#164</a>: Improved coefficients for db and coif</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/pull/167">#167</a>: Add coverage (codecov.io)</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/pull/168">#168</a>: convert transform coefficients to and from a single n-dimensional array</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/pull/169">#169</a>: Remove templating</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/pull/170">#170</a>: :Always install new pip on Appveyor</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/pull/172">#172</a>: Adding of missing wavelets from the matlab list</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/pull/178">#178</a>: use Index_t instead of index_t</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/pull/179">#179</a>: add axis/axes support to multilevel discrete wavelet transforms</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/pull/181">#181</a>: Fix memory leak</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/pull/182">#182</a>: improve test coverage for _multidim.py and _multilevel.py</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/pull/183">#183</a>: improve coverage for _dwt.py</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/pull/184">#184</a>: fix corner case in coeffs_to_array</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/pull/188">#188</a>: Drop GIL in c_wt calls</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/pull/190">#190</a>: bump minimum numpy to 1.9</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/pull/192">#192</a>: Upgrade to Pillow>=3 api</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/pull/193">#193</a>: ENH: add ‘reflect’ extension mode</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/pull/197">#197</a>: BLD: fix “python setup.py develop”. Closes gh-196</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/pull/198">#198</a>: Choose clz* based on SIZE_MAX</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/pull/201">#201</a>: speedup multi-level swt</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/pull/205">#205</a>: fix dwtn/idwtn with axes != None and complex data</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/pull/206">#206</a>: DOC: correct typo in iswt docstring</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/pull/207">#207</a>: minor documentation updates</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/pull/208">#208</a>: document coeff_to_array and array_to_coeff</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/pull/214">#214</a>: FIX: update several doctests to reflect the new wavelets added</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/pull/218">#218</a>: FIX: initialize all properties of a blank discrete wavelet</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/pull/219">#219</a>: document coordinate conventions for 2D DWT routines.</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/pull/220">#220</a>: Run doctests on TravisCI</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/pull/221">#221</a>: Documentation for cwt and ContinuousWavelet</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/pull/222">#222</a>: consistent use of double backticks in docs</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/pull/223">#223</a>: add FutureWarning about swt2 coefficient order</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/pull/224">#224</a>: n-dimensional stationary wavelet transform (swtn) and axis support in swt, swt2</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/pull/225">#225</a>: BUG: fix breakage on 32-bit Python.</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/pull/226">#226</a>: DOC: update Copyright statements.</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/pull/227">#227</a>: ENH: add kind keyword to wavelist()</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/pull/228">#228</a>: MAINT: avoid using a builtin as variable name in qmf().</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/pull/229">#229</a>: DOC: add swtn, iswt, iswt2 to the API documentation</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/pull/230">#230</a>: add demo of batch processing via concurrent.futures</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/pull/234">#234</a>: ENH: coeffs_to_array supports axes argument as recently added to wavedec*</li>
<li><a class="reference external" href="https://github.com/PyWavelets/pywt/pull/236">#236</a>: BLD: raise an ImportError if Cython should be installed but isn’t.</li>
</ul>
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<li><a class="reference internal" href="#">PyWavelets 0.5.0 Release Notes</a><ul>
<li><a class="reference internal" href="#new-features">New features</a><ul>
<li><a class="reference internal" href="#d-continous-wavelet-transforms">1D Continous Wavelet Transforms</a></li>
<li><a class="reference internal" href="#new-discrete-wavelets">New discrete wavelets</a></li>
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