:orphan:

.. _gallery:

Examples Gallery
===========================




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    <div class="sphx-glr-thumbnails">


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    <div class="sphx-glr-thumbcontainer" tooltip=" Demonstrates how to create sparse model vectors with small number of non-zero entries sampled ...">

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  .. image:: /gallery/images/thumb/sphx_glr_sparse_vector_normals_thumb.png
    :alt: A sparse model vector generator

  :ref:`sphx_glr_gallery_sparse_vector_normals.py`

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      <div class="sphx-glr-thumbnail-title">A sparse model vector generator</div>
    </div>


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    </div>


.. toctree::
   :hidden:

   /gallery/sparse_vector_normals


Data Clustering
------------------------



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    <div class="sphx-glr-thumbnails">


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    <div class="sphx-glr-thumbcontainer" tooltip="CR-Sparse includes a K-means implementation as part of its sparse subspace clustering module.">

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  .. image:: /gallery/cluster/images/thumb/sphx_glr_kmeans_thumb.png
    :alt: K-means Clustering

  :ref:`sphx_glr_gallery_cluster_kmeans.py`

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      <div class="sphx-glr-thumbnail-title">K-means Clustering</div>
    </div>


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    <div class="sphx-glr-thumbcontainer" tooltip="This example demonstrates the sparse subspace clustering algorithm via orthogonal matching purs...">

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  .. image:: /gallery/cluster/images/thumb/sphx_glr_ssc_omp_thumb.png
    :alt: Sparse Subspace Clustering - OMP

  :ref:`sphx_glr_gallery_cluster_ssc_omp.py`

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      <div class="sphx-glr-thumbnail-title">Sparse Subspace Clustering - OMP</div>
    </div>


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    </div>


Linear Operators
-----------------------------------------------



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    <div class="sphx-glr-thumbnails">


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    <div class="sphx-glr-thumbcontainer" tooltip="This example demonstrates how to construct a linear operator from an ordinary matrix.">

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  .. image:: /gallery/lop/images/thumb/sphx_glr_matrix_operator_thumb.png
    :alt: A matrix backed linear operator

  :ref:`sphx_glr_gallery_lop_matrix_operator.py`

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      <div class="sphx-glr-thumbnail-title">A matrix backed linear operator</div>
    </div>


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    <div class="sphx-glr-thumbcontainer" tooltip="Compressive Sensing Operators">

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  .. image:: /gallery/lop/images/thumb/sphx_glr_cs_operators_thumb.png
    :alt: Compressive Sensing Operators

  :ref:`sphx_glr_gallery_lop_cs_operators.py`

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      <div class="sphx-glr-thumbnail-title">Compressive Sensing Operators</div>
    </div>


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    <div class="sphx-glr-thumbcontainer" tooltip="This example demonstrates following features:">

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  .. image:: /gallery/lop/images/thumb/sphx_glr_deconvolution_thumb.png
    :alt: Deconvolution

  :ref:`sphx_glr_gallery_lop_deconvolution.py`

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      <div class="sphx-glr-thumbnail-title">Deconvolution</div>
    </div>


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    <div class="sphx-glr-thumbcontainer" tooltip="This example demonstrates following features:">

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  .. image:: /gallery/lop/images/thumb/sphx_glr_deblurring_thumb.png
    :alt: Image Deblurring

  :ref:`sphx_glr_gallery_lop_deblurring.py`

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      <div class="sphx-glr-thumbnail-title">Image Deblurring</div>
    </div>


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    <div class="sphx-glr-thumbcontainer" tooltip="This example demonstrates following features:">

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  .. image:: /gallery/lop/images/thumb/sphx_glr_wt_op_thumb.png
    :alt: Wavelet Transform Operators

  :ref:`sphx_glr_gallery_lop_wt_op.py`

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      <div class="sphx-glr-thumbnail-title">Wavelet Transform Operators</div>
    </div>


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    </div>


Compressive Sensing
-----------------------------------



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    <div class="sphx-glr-thumbnails">


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    <div class="sphx-glr-thumbcontainer" tooltip="This example demonstrates following features - Making 1-bit quantized compressive measurements ...">

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  .. image:: /gallery/pursuit/images/thumb/sphx_glr_cs1bit_biht_thumb.png
    :alt: 1 bit Compressive Sensing

  :ref:`sphx_glr_gallery_pursuit_cs1bit_biht.py`

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      <div class="sphx-glr-thumbnail-title">1 bit Compressive Sensing</div>
    </div>


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    <div class="sphx-glr-thumbcontainer" tooltip="This example explains the step by step development of  CoSaMP (Compressive Sensing Matching Pur...">

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  .. image:: /gallery/pursuit/images/thumb/sphx_glr_cosamp_step_by_step_thumb.png
    :alt: CoSaMP step by step

  :ref:`sphx_glr_gallery_pursuit_cosamp_step_by_step.py`

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      <div class="sphx-glr-thumbnail-title">CoSaMP step by step</div>
    </div>


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    </div>


Sparse Recovery via L1 minimization
-----------------------------------------------




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    <div class="sphx-glr-thumbnails">


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    <div class="sphx-glr-thumbcontainer" tooltip="This example has following features:">

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  .. image:: /gallery/rec_l1/images/thumb/sphx_glr_partial_wh_sensor_cosine_basis_thumb.png
    :alt: Random Orthogonal Measurements, Cosine Basis, ADMM

  :ref:`sphx_glr_gallery_rec_l1_partial_wh_sensor_cosine_basis.py`

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      <div class="sphx-glr-thumbnail-title">Random Orthogonal Measurements, Cosine Basis, ADMM</div>
    </div>


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    <div class="sphx-glr-thumbcontainer" tooltip="This example has following features:">

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  .. image:: /gallery/rec_l1/images/thumb/sphx_glr_spikes_l1ls_thumb.png
    :alt: Recovering spikes via TNIPM

  :ref:`sphx_glr_gallery_rec_l1_spikes_l1ls.py`

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      <div class="sphx-glr-thumbnail-title">Recovering spikes via TNIPM</div>
    </div>


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    </div>


.. toctree::
   :hidden:
   :includehidden:

   /gallery/cluster/index.rst
   /gallery/lop/index.rst
   /gallery/pursuit/index.rst
   /gallery/rec_l1/index.rst



.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_