达信号预处理和特征提取ta Analytics with MATLAB
This one-day course shows how to use MATLAB®, Signal Processing Toolbox™, and Wavelet Toolbox™to preprocess time-based signals and extract key features in the time and frequency domains. This course is intended for data scientists and engineers analyzing signals (time series) for data analytics applications. No prior knowledge on signal processing is needed for this course.
Topics include:
- Creating, importing, and visualizing signals
- Preprocessing to improve data quality, including filling data gaps, resampling, smoothing, aligning signals, finding and removing outliers, and handling non-uniformly sampled signals
- Extracting features in the time and frequency domains, including finding patterns in signals, finding change points, locating peaks, and identifying trends
Dates | Location | Language | Price | Register |
---|---|---|---|---|
12 May 2022 | Virtual 9:00 am - 5:00 pm US Eastern Daylight Time |
English | USD 750 | |
17 Aug 2022 | Virtual 9:00 am - 5:00 pm US Pacific Daylight Time |
English | USD 750 | |
08 Dec 2022 | Virtual 9:00 am - 5:00 pm US Eastern Standard Time |
English | USD 750 |
The pricing applies for purchase and use in United States. For pricing in other regionsContact Sales. The product price does not include sales, use, excise, value-added, or other taxes. Any applicable taxes, duties, levies, assessments and governmental charges payable in connection with this purchase will be assessed on the order. Refer toTraining Policiesfor more information