Wavelet analysis : concepts with Wolfram Language / with Wolfram Research.
Learn how the Wolfram Language can be used to construct, compute, visualize, and analyze wavelet transforms and related functions.
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| Format: | Online tutorial |
| Language: | English |
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Carpentia, CA :
LinkedIn Learning,
[2024]
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| Series: | LinkedIn Learning online tutorials
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| Online Access: | View course details on linkedin.com/learning thumbnail |
| Summary: | Learn how the Wolfram Language can be used to construct, compute, visualize, and analyze wavelet transforms and related functions. Wavelets decompose a signal into approximations and details at different scales, making them useful for applications such as data compression, detecting features and removing noise from signals. This course from Wolfram Research explains some of the theory behind continuous, discrete, and stationary wavelet transforms and demonstrates how the Wolfram Language and its built-in functions can be used to construct, compute, visualize, and analyze wavelet transforms and related functions. LinkedIn supplied subject categories: Creative, Business, Technology. |
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| Physical Description: | 1 online tutorial (49 min.) : digital, sound, colour |
| Playing Time: | 00:49:09 |
| Format: | Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection. |