Signal Processing 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
This important Signal Processing Training course brings together, in one place, signal processing concepts as well as mathematical techniques that are critical for understanding and effectively analyzing or designing modern communications systems. It’s a great introduction to the subject for those who may not have been exposed to this material and an excellent refresher for those who learned it a long time back in college. Both types of audiences will benefit from this course’s practical, application-centered instructional approach aimed at bridging the gap between theory and application. This Signal Processing course is a must for all whose work focuses on the analysis or design of existing or emerging communications systems.
WHAT'S INCLUDED?
- 4 Days of Signal Processing Training from an Authorized Instructor
- Signal Processing Electronic Study Guide)
- Certificate of Completion
- 100% Satisfaction Guarantee!
RESOURCES
- Signal Processing Training – https://www.wiley.com/
- Signal Processing Training – https://www.packtpub.com/
- Signal Processing – https://store.logicaloperations.com/
- Signal Processing – https://us.artechhouse.com/
- Signal Processing – https://www.amazon.com/
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ADDITIONAL INFORMATION
CUSTOMIZE IT
- We can adapt this Signal Processing course to your group’s background and work requirements at little to no added cost.
- If you are familiar with some aspects of this Signal Processing course, we can omit or shorten their discussion.
- We can adjust the emphasis placed on the various topics or build the Signal Processing 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 Signal Processing course in a manner understandable to lay audiences.
COURSE OBJECTIVES
Upon completing the Signal Processing Training course, the participant will be able to:
AUDIENCE/TARGET GROUP
The target audience for this Signal Processing course:
- This course is aimed at those in the industry or government whose work involves the analysis or design of modern communications systems.
CLASS PREREQUISITES
The knowledge and skills that a learner must have before attending this Signal Processing course are:
- A Bachelor’s degree in Science, Mathematics, or Engineering or equivalent work experience.
COURSE SYLLABUS
Discrete-Time Signal Processing
- Sampling Theorem: Continuous and Discrete-time
- Interpolation and Up sampling
- Decimation and Downsampling
- ADC and DAC Converters
- Overview of Transforms
- Convolution Operation
- IIR and FIR Filter Structures
- Pole-Zero Representations
Fourier and Z Transforms
- Power Spectral Density (PSD)
- Linear Filtering
- Discrete Fourier Transforms (DFT)
- FFT and IFFT
Probability Overview
- Mean, Variance, Several Theorems
- PDF Examples: Gaussian, Erlang, Exponential, Uniform, etc.
- Central Limit Theorem
- Hypothesis Testing (MAP, ML)
- Calculating the Probability of Error
- Digital Communications Systems Example
- The importance of the PDF and CDF
Linear Algebra Methods
- Dot Product and Cross Product
- Matrix Inversion
- Eigen Decomposition
Adaptive Signal Processing
- Minimum Mean Square Error (MMSE)
- Least Mean Squared (LMS) and NLMS
- Recursive Least Squared (RLS)
- Direct Matrix Inversion (DMI)
- Maximum Likelihood Estimation (MLE)
- Interpolation Techniques (Lagrange, Linear)
Equalization Methods
- Decision Feedback Equalization (DFE)
- Maximum Likelihood Sequence Equalizer (MLSE)
Communications Applications
- DC Offset Estimation
- Automatic Frequency Correction (AFC)
- Channel Estimation
- Likelihood Ratio Testing
- Phase Noise
Estimators
- Properties of Estimators
- Digital Communications Application (BER)
