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SaveTotal Grants
2
Total Amount
$0
Provinces Served
1
Top Recipients by Funding Amount
| # | Recipient | Grants | Total Amount |
|---|---|---|---|
| 1 | and sustainability). This research program aims to develop novel signal processing theory and methods to address challenges associated with processing and learning from unstructured or irregularly-sampled data. Existing signal processing techniques are well-suited for data such as time series and images which have a regular | 2 | $0 |
Geographic Distribution by Province
| Province / Territory | Grants | Total Amount | Share |
|---|---|---|---|
| and unstructured. Graphs provide a principled formalism to capture complex relationships among variables and entities. In some applications the graph may capture a physical structure underlying the signal (e.g. | 2 | $0 | 0% |
Recent Grants
Recipient
Amount
Year
Purpose
and sustainability). This research program aims to develop novel signal processing theory and methods to address challenges associated with processing and learning from unstructured or irregularly-sampled data. Existing signal processing techniques are well-suited for data such as time series and images which have a regular
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and sustainability). This research program aims to develop novel signal processing theory and methods to address challenges associated with processing and learning from unstructured or irregularly-sampled data. Existing signal processing techniques are well-suited for data such as time series and images which have a regular
--
--
and sustainability). This research program aims to develop novel signal processing theory and methods to address challenges associated with processing and learning from unstructured or irregularly-sampled data. Existing signal processing techniques are well-suited for data such as time series and images which have a regular
----
correlative
and sustainability). This research program aims to develop novel signal processing theory and methods to address challenges associated with processing and learning from unstructured or irregularly-sampled data. Existing signal processing techniques are well-suited for data such as time series and images which have a regular
----
correlative
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