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.. _examples-index:

========
Examples
========



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-----------------
Tutorials
-----------------



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    <div class="sphx-glr-thumbcontainer" tooltip="This example introduces the transform system - the core building block for data processing in MyoVerse. Transforms use PyTorch named tensors for dimension-aware operations that run on both CPU and GPU.">

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  .. image:: /auto_examples/01_tutorials/images/thumb/sphx_glr_1_understanding_basics_thumb.png
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  :doc:`/auto_examples/01_tutorials/1_understanding_basics`

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      <div class="sphx-glr-thumbnail-title">Transform Basics</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="This example shows how to build complex filter pipelines with multiple representations using the dimension-aware transform system.">

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  :doc:`/auto_examples/01_tutorials/2_complex_filtering`

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      <div class="sphx-glr-thumbnail-title">Complex Filtering Pipelines</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="This example shows how to create a multi-modal dataset for training.">

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  .. image:: /auto_examples/01_tutorials/images/thumb/sphx_glr_3_create_dataset_thumb.png
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  :doc:`/auto_examples/01_tutorials/3_create_dataset`

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      <div class="sphx-glr-thumbnail-title">Creating a dataset</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="This example shows the complete training pipeline from raw data to model training. Each step is explained and demonstrated.">

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  :doc:`/auto_examples/01_tutorials/4_train_model`

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      <div class="sphx-glr-thumbnail-title">Training Pipeline</div>
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-----------------
Filters
-----------------



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    <div class="sphx-glr-thumbcontainer" tooltip="This example demonstrates how to work with the grid_layouts parameter in the EMGData class. Grid layouts allow you to specify the exact arrangement of electrodes on physical recording grids, which is essential for:">

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  :doc:`/auto_examples/02_filters/1_emg_grid_layouts`

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      <div class="sphx-glr-thumbnail-title">EMG Grid Layouts: Electrode Arrangements</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="This example demonstrates temporal transforms for EMG signal processing. All transforms work with PyTorch named tensors for dimension-aware operations that run on both CPU and GPU.">

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  .. image:: /auto_examples/02_filters/images/thumb/sphx_glr_2_temporal_filters_thumb.png
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  :doc:`/auto_examples/02_filters/2_temporal_filters`

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      <div class="sphx-glr-thumbnail-title">Temporal Signal Processing</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="This example demonstrates how to use spatial filters on EMG data using MyoVerse. Spatial filters operate on electrode grids to compute spatial derivatives and enhance local patterns while reducing common-mode noise.">

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  .. image:: /auto_examples/02_filters/images/thumb/sphx_glr_3_spatial_filters_thumb.png
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  :doc:`/auto_examples/02_filters/3_spatial_filters`

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      <div class="sphx-glr-thumbnail-title">Applying Spatial Filters to EMG Data</div>
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   /auto_examples/01_tutorials/index.rst
   /auto_examples/02_filters/index.rst



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