# A comparative study of wavelet families for EEG signal classification

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-comparative-study-of-wavelet-families-for-eeg-signal-classification/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Tapan Kumar Gandhi,Bijay Ketan Panigrahi,Sneh Anand |
| Citations | 321 |
| DOI | 10.1016/j.neucom.2011.04.029 |
| Fields | Computer Science,Neuroscience |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2058508918 |
| Type | article |
| Year | 2011 |

## Paper authors

- [Tapan Kumar Gandhi](https://scholariq.org/researchers/tapan-kumar-gandhi/)

## Paper primary topic

- [EEG and Brain-Computer Interfaces](https://scholariq.org/topics/eeg-and-brain-computer-interfaces/)

## Paper topics

- [EEG and Brain-Computer Interfaces](https://scholariq.org/topics/eeg-and-brain-computer-interfaces/)
- [Blind Source Separation Techniques](https://scholariq.org/topics/blind-source-separation-techniques/)
- [Neural Networks and Applications](https://scholariq.org/topics/neural-networks-and-applications/)

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