This is presentation for engineering student. Course title: Digital Signal Processing

1. Course Title: Digital Signal Processing
Course Code:EEE321
Presentation Topic : Digital Signal
Submitted By:
Name: Md. Mehedi Hasan
Department of Electrical & Electronics Engineering
Daffodil International University

2. Presentation Outline
1.What is Signal??
2. Signal processing
3.Digital Signal Processing
4. Benefits: Digital Signal Processing
5. DSP Application
6. DSP Technology
7. Sampling
8. Sampling
9. CONCLUSION
10.THE END

3. What is Signal??
Any physical phenomenon that carries or convey information from one place to other and represents as a
function of independent variables such as time, distance, etc.
Signal

4. Signal processing
Signal processing refers to the science of analyzing time-varying physical process. There are two category of signal
processing.
Analog Signal Processing
The term is used to describe a waveform that
is continuous in time and can take a continuous
range of amplitude values.
Digital Signal Processing
A digital signal ,Which is discrete time-signal, is
not represented by a continuous waveform and the
discrete-time signal quantities.

5. Digital Signal Processing
Signal to be converted to a form that can be processed by a digital System.
Analog A/D Digital Digital Signal Digital D/A Analog
I/P Signal converter I/P Signal Processor O/P Signal converter O/P Signal

6. Benefits: Digital Signal Processing
• Flexibility of the system offered by the software component
• Better control of accuracy requirements
• Ease of storage and offline processing
• Low cost of processors
Limitations
• Speed of operation of digital processors
• Noise due to quantization and switching

7. DSPApplication

8. DSP Technology
DAP Technology is with its own mathematics, algorithms and the techniques that are used to manipulate the signal is
digital form.
 Telecommunication
 Multiplexing
 Compression
 Echo Control
 Audio Processing
 Music
 Speed generation
 Speed recognition

9.  Echo Location
 Sonar
 Radar
 Reflection Seismology
 Image Processing
 Medical

10. Sampling
Conversion of a continuous-time signal into a discrete time signal
obtained by taking “samples” of the continuous-time signal as
discrete-time instants
T → sampling interval
Fs(1/T) → sampling frequency (sample/sec, Hz)

11. Sampling

12. CONCLUSION
The DSP technology has evolved so much, right from the mid-70's, where it had just one significant
customer in military to the present day DSPs which find application in almost everywhere. The main areas
of this technology would be the cell phones which play a key role in today's voice communication. Digital
Signal Processing (DSP) is often used in modern audio logical equipment. Storage capability

13. THE END