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Training on
Signal Processing and Filter Design
with MATLAB & Simulink Implementation
Klang Valley
03 & 04 APR, 2019 


" Comprehensive in scope and clear in approach,
this workshop keeps math at a tolerable level, and makes
signal processing exceptionally accessible
without ever oversimplifying it..." 
Signal may be referred to as a function of time that conveys information about the behavior or characteristic of some physical phenomena. Examples of signal are temperature, voice, communication and geophysical among others. Signal can be acquired from its physical environment via sensors (e.g. microphone for voice acquisition). Nevertheless, the acquired signal is less than ideal that may be resultant from constraints of the acquisition device or due to background noise pollution. Therefore, signalprocessing comprises of useful techniques in analyzing the characteristics of the acquired signal and filtering unwanted components from it. Ultimately, the main task of signalprocessing involves filter design, either via infiniteimpulseresponse (IIR) or finiteimpulseresponse (FIR) techniques, such as to achieve better signal quality.
This course is conducted in a workshoplike manner, with a balance mix of theory, handson coding and simulation using MATLAB and Simulink. Extensive exercises are provided throughout the course to ensure students’ familiarity in visualizing, processing and filtering signals by using MATLAB and Simulink.






Course highlights
This course is intended as a practical introduction to signalprocessing concepts and its implementation using MATLAB and Simulink. As such, there will be a series of handson exercises which support both theoretical explanation and practical implementation.
What you will learn
 Represent signals via data import, simulation and the conversion to digital signals via sampling.
 Visualization of signals in time as well as in frequencydomains via discrete Fourier transformation.
 Understand the concept of lineartimeinvariant (LTI) system and its representation in zdomain and its visualization via polezero plot.
 Understand the concept of infiniteimpulseresponse (IIR) and finiteimpulseresponse (FIR) and familiar with the process of IIR and FIR filter design.


Course methodology
The course begins with guidance on how to represent signals in both analog and digital forms, visualization of signals in both time and frequencydomains, understanding of LTI concepts as well as designing filters using MATLAB and Simulink. The course will be wellsupported by MATLAB codes and Simulink models.
Course Outline
Day 1
 Introduction
 Concept of signals
 Analog signals
 Discrete signals
 Sampling of signals
 Types of discrete signals
 Noise modeling
 Spectral analysis
 Frequency domain
 Fourier transform (DFT and FFT)
 Power spectral density
 SPTool for signal analysis
 Signal import and visualization
 Spectral analysis
 Concept of LinearTimeInvariance (LTI)
 Representation of LTI system – difference equation
 Representation of LTI system – block diagram
 The zTransform
 Representation via transfer function
 Polezero plots
 Case studies and exercises
Day 2
 Analog prototyping
 Butterworth
 Chebyshev
 Elliptic
 Filter transformation
 Impulseinvariant method
 Bilinear transformation method
 Case study  design of IIR filter:
 Based on filter specifications
 Based on signal characteristics
 Introduction to windowing technique
 Types of windows
 Characteristics of windows
 Procedures of FIR filter design
 Case study – design of FIR filter:
 Based on filter specifications
 Based on signal characteristics


Who should attend
Professional, engineers and scientists at all levels who wish to learn about concepts of signalprocessing and its implementation using MATLAB and Simulink. No background in either of these topics are, however, assumed. The detailed course material and many source code listings will be invaluable for both learning and reference.
Prerequisites
A basic familiarity with MATLAB and Simulink environment is preferred.
Note: Due to the nature of the course and the learning expectations, the availability seats are limited. You need to register early to obtain confirmation of your space. 
03 & 04 APR, 2019 @ MY
Venue : Klang Valley
10 % Early Registration Discount before 03 MAR
2019
10 % Group Discount for 3 or more from same organization

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