This presentation provides an overview of digital signal processing (DSP). It defines key terms like signal and signal processing and explains the basic principles and components of DSP systems. The presentation notes that DSP has advantages over analog processing like accuracy, flexibility, and ease of operation. It provides examples of DSP applications in areas like audio, communications, biomedicine, and more. In conclusion, the presentation emphasizes that DSP involves manipulating digital numbers using programmed instructions and is widely used in modern applications.

1. PRIYADARSHINI BHAGWATI
COLLEGE OF ENGINEERING
PRESENTED BY:
Snehal Hedau (EC)
A
Presentation
On
Digital Signal
Processing

2.  Introduction to DSP.
 Principles and operation of
DSP.
 Advantages and disadvantages
of DSP.
 Applications.
 Conclusion.

3. What is Signal??
Ans: 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.

4. WHAT IS SIGNALPROCESSING?
SIGNAL PROCESSING is the analysis,
interpretation and manipulation of like
sound, images, time-varying
measurement values and sensor data
etc.
Types of signal processing:
1. Analog signal processing
2. Digital signal processing

5. DIGITAL SIGNALPROCESSING:
DIGITAL: Operating by the use of discrete signal to represent
data in the form of numbers.
SIGNAL: A parameter (electrical quantity or effect) that can be
varied in such a way as to convey information.
PROCESSING: a series operation performed according to
programmed instructions.

6. Distortion
signal
processing

7. Digital signal processing consist of anti-aliasing
filter ,ADC, digital processor, DAC and a
reconstruction filter.

8. Two uses :
Signal separation
Signal Restoration
Example: an audio recording made with poor equipment may
be filtered to get the original sound.
FILTER
DIGITAL
FIR IIR
ANALOG

9. Another example of deblurring of an image
occurred with an improperly focused lens or a shaky
camera.
So these problems can be solved with either analog or
digital filter .

10. Digital filter are vastly superior in the level of
performance in comparison to analog filters.
Processes Generates
Digital Data
Adder
Multiplier
Delay Units

11. DSP filter is immune to:
Environmental Changes
Noise and relatively Stable
Impedance Matching
Computational Problems
Availability of :
Multiple Filtering
Variety of Shapes for Amplitudes and Phase
Response.
Easy Transportation and Reconfiguration.

12.  Accuracy
 Flexibility
 Easy operation
 Multiplexing
 Storagable

13. LIMITATIONS OF DSP
Antialias filter
 Frequency Resolution
 Quantization Error

14. Image processing
Consumer application
Cellular mobile phones
In Communication
In Speech and Music
In Biomedical
In Radar and Sonar

15.  CONCLUSION:
Digital Processing – a series of instructions to manipulate the
digital numbers.
DSP is used in wide range in everyday applications.
Digital Signal Processing (DSP) is often used in modern audio
logical equipment.
Storage capability.

16. REFERENCES:
www.dspguru.com
http/:www.seminarslides.com/
http/:www.ti.com/lsds/ti/dsp
http/:electronics./ti/dsp
http/:en.wikibooks.org/digital/
http/:www.slideshare.com