01 Signal Processing = Introduction

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Chapter 1. Introduction

24-Feb-16

Measurement &Signal Processing

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Learning Objectives

1. To know what signal is .

2. To know what signal processing is and why signal processing is important.

3. To know some applications of signal processing.

4. To know various relations between experiments and signal processing.

5. To learn fundamental analysis skills for signal processing.

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Learning ObjectivesFive Senses

Vision( )

Hearing( )

Smell( )

Gustation( )Tactile Sense( )

The sixth sense( ) : Extra Sensory Perception( ESP)

G h o s t

Human’s DAQs

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What is signalIn electronics , a signal is an electric current or electromagneticfield used to convey data from one place to another.

http://searchnetworking.techtarget.com/definition/signal

A signal as referred to in communication systems , signalprocessing, and electrical engineering is a function thatconveys information about the behavior or attributes of somephenomenon.

Roland Priemer (1991). Introductory Signal Processing

In stock filed , 'Buy Signal‘ is an event or condition that informsinvestors to purchase a particular investment.

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What is signalIn biomedical fields , signals such as heart rate, blood pressure,oxygen saturation levels, blood glucose( ), nerveconduction, brain activity and so forth, are constantlygenerated by our bodies.

In control filed

Digital(usually)Analog

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What is signalWhen the function depends on two or more variables, thesignal is said to be multidimensional.

Daily pressure, temperature, humidity, ,annual rainfall at a place anda speech signal are all examples of a one dimensional signal.An image contains two dimensional signals including vertical and

horizontal coordinates

Our physical world is four dimensional(three spatial and onetemporal).

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What is signal processing and its importanceFrom the engineering point of view~

DAQ Computer

DAQ

Analog & Digital Signal Modulation

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What is signal processing and its importanceBy processing, we mean manipulating in certain way on asignal to extract some useful information .

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Application fields of signal processingAudio signal processing – for electrical signals representing sound, such as speech or music

Speech signal processing – for processing and interpreting spoken words

Image processing – in digital cameras, computers and various imaging systems

Video processing – for interpreting moving pictures

Wireless communication - waveform generations, demodulation, filtering, equalization

Control systems

Array processing – for processing signals from arrays of sensors

Seismology ( )

Financial signal processing – analyzing financial data using signal processing techniques,especially for prediction purposes.

Feature extraction , such as image understanding and speech recognition .

Quality improvement, such as noise reduction , image enhancement , and echo cancellation .(Source coding ), including audio compression , image compression , and video compression .

Just go for WIKI!!

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Why do we do experiments?

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Experimental Approach

A• Objective, Assumptions,(experiment and theory)• Minimal intervention

B

• Variables (varied, controlled, recorded)• Experiment Setup

C• Agreement (experiment and theory)

D• Results should be presented within the context of

uncertainty and limitations of the theory and experiments

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Internet of Things(IOT)