# Convergence and Rate Analysis of Neural Networks for Sparse Approximation

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/convergence-and-rate-analysis-of-neural-networks-for-sparse-approximation/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Aurèle Balavoine,Justin Romberg,Christopher J. Rozell |
| Citations | 84 |
| DOI | 10.1109/tnnls.2012.2202400 |
| Fields | Computer Science,Engineering |
| Open Access | true |
| OA Status | green |
| OA URL | https://arxiv.org/pdf/1107.5988 |
| OpenAlex ID | https://openalex.org/W1991693778 |
| PMID | 24199030 |
| Type | article |
| Year | 2012 |

## Paper authors

- [Christopher J. Rozell](https://scholariq.org/researchers/christopher-j-rozell/)

## Paper journal

- [IEEE Transactions on Neural Networks and Learning Systems](https://scholariq.org/journals/ieee-transactions-on-neural-networks-and-learning-systems/)

## Paper primary topic

- [Image and Signal Denoising Methods](https://scholariq.org/topics/image-and-signal-denoising-methods/)

## Paper topics

- [Sparse and Compressive Sensing Techniques](https://scholariq.org/topics/sparse-and-compressive-sensing-techniques/)
- [Image and Signal Denoising Methods](https://scholariq.org/topics/image-and-signal-denoising-methods/)
- [Blind Source Separation Techniques](https://scholariq.org/topics/blind-source-separation-techniques/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.