Practical Statistical Signal Processing Using MATLAB Training
Commitment | 4 Days, 7-8 hours a day. |
Language | English |
User Ratings | Average User Rating 4.8 See what learners said |
Price | REQUEST |
Delivery Options | Instructor-Led Onsite, Online, and Classroom Live |
COURSE OVERVIEW
Practical Statistical Signal Processing Using MATLAB Training covers signal processing systems for radar, sonar, communications, speech, imaging, and other applications based on state-of-the-art computer algorithms. These algorithms include important tasks such as data simulation, parameter estimation, filtering, interpolation, detection, spectral analysis, beamforming, classification, and tracking. Until now these algorithms could only be learned by reading the latest technical journals. This Practical Statistical Signal Processing Using MATLAB course will take the mystery out of these designs by introducing the algorithms with a minimum of mathematics and illustrating the key ideas via numerous examples using MATLAB.
Designed for engineers, scientists, and other professionals who wish to study the practice of statistical signal processing without the headaches, this Practical Statistical Signal Processing Using MATLAB will make extensive use of hands-on MATLAB implementations and demonstrations. Attendees will receive a suite of software source codes and are encouraged to bring their own laptops to follow along with the demonstrations.
WHAT'S INCLUDED?
- 4 days of Practical Statistical Signal Processing Using MATLAB Training with an expert instructor
- Practical Statistical Signal Processing Using MATLAB Electronic Course Guide
- Certificate of Completion
- 100% Satisfaction Guarantee
RESOURCES
- Practical Statistical Signal Processing Using MATLAB – https://www.wiley.com/
- Practical Statistical Signal Processing Using MATLAB – https://www.packtpub.com/
- Practical Statistical Signal Processing Using MATLAB – https://store.logicaloperations.com/
- Practical Statistical Signal Processing Using MATLAB Training – https://us.artechhouse.com/
- Practical Statistical Signal Processing Using MATLAB – https://www.amazon.com/
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ADDITIONAL INFORMATION
COURSE OBJECTIVES
Upon completing this Practical Statistical Signal Processing Using MATLAB Training course, learners will be able to meet these objectives:
- To translate system requirements into algorithms that work.
- To simulate and assess the performance of key algorithms.
- To tradeoff algorithm performance for computational complexity.
- The limitations to signal processing performance.
- To recognize and avoid common pitfalls and traps in algorithmic development.
- To generalize and solve practical problems using the provided suite of MATLAB code.
CUSTOMIZE IT
- We can adapt this Practical Statistical Signal Processing Using MATLAB Training course to your group’s background and work requirements at little to no added cost.
- If you are familiar with some aspects of this Practical Statistical Signal Processing Using MATLAB course, we can omit or shorten their discussion.
- We can adjust the emphasis placed on the various topics or build the Practical Statistical Signal Processing Using MATLAB course around the mix of technologies of interest to you (including technologies other than those included in this outline).
- If your background is nontechnical, we can exclude the more technical topics, include the topics that may be of special interest to you (e.g., as a manager or policy-maker), and present the Practical Statistical Signal Processing Using MATLAB course in a manner understandable to lay audiences.
AUDIENCE/TARGET GROUP
The target audience for this Practical Statistical Signal Processing Using MATLAB Training course:
- Designed for engineers, scientists, and other professionals who wish to study the practice of statistical signal processing without the headaches, this Practical Statistical Signal Processing Using MATLAB will make extensive use of hands-on MATLAB implementations and demonstrations.
CLASS PREREQUISITES
The knowledge and skills that a learner must have before attending this Practical Statistical Signal Processing Using MATLAB course are:
- N/A
COURSE SYLLABUS
- Matlab Basics — M-files, logical flow, graphing, debugging, special characters, array manipulation, vectorizing computations, useful toolboxes.
- Computer Data Generation — Signals, Gaussian noise, nonGaussian noise, colored and white noise, AR/ARMA time series, real vs. complex data, linear models, complex envelopes, and demodulation.
- Parameter Estimation — Maximum likelihood, best linear unbiased, linear and nonlinear least squares, recursive and sequential least squares, minimum mean square error, maximum a posteriori, general linear model, performance evaluation via Taylor series, and computer simulation methods. Practical Statistical Signal Processing Using MATLAB Training
- Filtering/Interpolation/Extrapolation — Wiener, linear Kalman approaches, time series methods.
- Detection — Matched filters, generalized matched filters, estimator-correlators, energy detectors, detection of abrupt changes, min probability of error receivers, communication receivers, nonGaussian approaches, likelihood, and generalized likelihood detectors, receiver operating characteristics, CFAR receivers, performance evaluation by computer simulation.
- Spectral Analysis — Periodogram, Blackman-Tukey, autoregressive and other high-resolution methods, eigenanalysis methods for sinusoids in noise.
- Array Processing — Beamforming, narrowband vs. wideband considerations, space-time processing, interference suppression.
- Signal Processing Systems — Image processing, active sonar receiver, passive sonar receiver, adaptive noise canceler, time difference of arrival localization, channel identification, and tracking, adaptive beamforming, data analysis.
- Case Studies — Fault detection in bearings, acoustic imaging, active sonar detection, passive sonar detection, infrared surveillance, radar Doppler estimation, speaker separation, and stock market data analysis.