Course Highlights:
This is a two-day, hands-on course introducing participants to the application-oriented world of adaptive signal processing. Important and useful concepts on adaptive filtering are introduced, before showing the applications and implementation aspects. Participants have many opportunities to practice and understand the details of adaptive signal processing using the highly interactive tools of MATLB, Simulink and the Code Composer Studio. In addition, practical implementations of adaptive filter using the state-of-the-art DSP processors is explained and demonstrated.

Objective of the course
The objective of this course is to provide participants with the basic understanding of the subject and its many applications to the practicing Research and Design (R&D) Engineers interested in applying the art of adaptive filtering.

Who Should Attend:
This course is beneficial to all levels of executives and practicing Research and Design Engineers involved in the field of Adaptive Signal Processing for Multimedia and Communications based applications.

Course Outline:

1. Adaptive Transversal Filters

♦ Digital Adaptive Filter Structures
♦ The Least-Mean Square(LMS) Adaptive Algorithms
♦ Performance Analysis of LMS algorithm
♦ Stability criterion of evaluation
♦ Modified LMS algorithms
With MATLAB and Simulink hands-on examples and M-files

2. Other Adaptive Algorithms and Structures
♦ Method of Least Squares (RLS)
♦ Frequency-domain Adaptive filter
♦ Subband Adaptive filter
♦ Infinite-impulse response filter and algorithms
♦ Lattice structure and algorithms
Contain M-files of preceding algorithms

3. Applications using Adaptive Signal Processing
♦ Adaptive System Identification (examples on echo cancellation)
♦ Adaptive Inversed System Identification for channel equalization
♦ Adaptive Noise Cancellation for speech communication
♦ Adaptive Linear Predictor for hum removal
♦ Active Noise Control (ANC) and more in-depth implementations issues
♦ Adaptive Beamforming in radar applications
With MATLAB and Simulink hands-on examples

4. Practical Implementations and Issues
♦ Finite-precision effects with hands-on examples
♦ Fixed-point and floating-point implementation considerations
♦ In-depth discussion and demonstration on fixed-point DSP (C5000 from Texas Instruments)
♦ Benchmarking of adaptive algorithms in commercial DSP Library
Contain C programs of adaptive algorithms

5. Current trends and research in Adaptive Signal Processing
♦ R&D Trends in adaptive signal processing
♦ Commercial products using adaptive signal processing
♦ Advanced topics in adaptive signal processing
♦ Practical Hands-on Sessions are conducted in every module
♦ Q & A Session

For more details, please contact us:

enquiry@omniscient-intl.com
Tel: +65 68930233