This document provides an introduction to digital signal processing (DSP). It explains that DSP involves converting analog signals to discrete digital values and then manipulating the digital data using mathematical operations. Common DSP operations include filtering, convolution, correlation and discrete transformations. DSP has advantages over analog processing like programmability, repeatability, and noise immunity. DSP is used in applications like audio processing, communications, and imaging. The document discusses how DSP works and provides examples of noise filtering on a sample waveform. It also outlines the types of DSP processors and lists some key advantages and disadvantages of digital signal processing.

1. WELCOME

2. Digital
Signal
processing
Done by :-
Sri Rakesh

3. What is DSP ?
• Converting a continuously changing
waveform (analog) into a series of discrete
levels (digital)

4. What is DSP?
• DSP = Digital Signal Processing
OR
DSP = Digital Signal Processor?
• DSP used to denote both
o meaning can be deduced from the context in
which the term DSP is used.
• What is a Digital Signal Processor (DSP)?
o Microprocessor specifically designed to
perform fast DSP operations (e.g., Fast
Fourier Transforms, inner products, Multiply
& Accumulate)

5. What is DSP?
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6. How Does It Work?
• Now that we can slice up a waveform and convert it into
digital form, let’s take a look at how it is used in DSP
• Draw a simple waveform on graph paper
o Scale appropriately
• “Gather” digital data points to represent the waveform

7. How Does It Work?
• Once the waveform is in digital form, the real power of
DSP can be realized by mathematical manipulation of
the data
• Using EXCEL spreadsheet software can assist in
manipulating the data and making graphs quickly
• Let’s first do a little filtering of noise

8. How Does It Work?
• Using your raw digital data, create a new table of
data that averages three data points
o Average the point before and the point after with the point in the
middle
o Enter all data in EXCEL to help with graphing

9. How Does It Work?
• Swap your waveform data with a partner
• Using the data, recreate the waveform on a sheet of
graph paper

10. Starting Waveform Used
to Create Digital Data

11. Waveform Created from
Digital Data

12. How Does It Work?
• Compare the original with the recreating, note
similarities and differences

13. Noise Filtering Using
Averaging
Raw
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14. High Performance Processors
Low power
Average Performance
Cost Effective
Ultra Low power
High Performance
Cost Effective
Year: 1999
Year: 2014
Time
P
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P
o
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Ref: http://www.xilinx.com

15. Types of DSP
• Low End Fixed Point
o TMS320C2XX, ADSP21XX, DSP56XXX
• High End Fixed Point
o TMS320C55XX, DSP16XXX,
o ADSP215XX, DSP56800
• Floating Point
o TMS320C3X, C67XX, ADSP210XX,
DSP96000, DSP32XX
• Berkeley Design Tech.

17. 17
What is Signal
Processing?
• Example of Signals:
o Analog: Speech, Music, Photos, Video, radar,
sonar, …
o Discrete-domain/Digital:
• digitized speech, digitized music, digitized
images, digitized video, digitized radar and
sonar signals,…
• stock market data, daily max temperature data,
...
ProcessingSignal in Signal out
Operation, Transformation
(Analog or Digital) (Analog or Digital)

18. 18
What is Digital Signal
Processing?
• But what about analog signals?
Digital ProcessingDigital Signal in Digital Signal out
Operation, Transformation performed
on digital signals (using a computer or
other special-purpose digital hardware)
Analog Signal
in
Analog-to-
Digital (A/D)
Conversion
Digital Processing
Digital-to-
Analog (D/A)
Conversion

19. Key DSP Operations
1. Convolution
2. Correlation
3. Digital Filtering
4. Discrete Transformation
5. Modulation

20. DSP BOARD

21. 21
DSP Targets: Cell Phone
-Speech Coders
-Speech Recognition
- Equalizers
- Antenna noise cancellation
-Image enhancement techniques
DSP
Chip
RF
Codec
Voice
Codec
RF
Receiver
Microprocessor
Chip
Cell
Peripherals
Controlled by Power Management Unit

22. How the transmission is done..!!

23. 23
Signal Processing Examples
Why Go
Digital??

24. Why Go Digital?
• Programmability
o One hardware can perform several tasks.
o Upgradeability and flexibility.
• Repeatability
o Identical performance from unit to unit.
o No drift in performance due to temperature or
aging.
• Immune to noise
• Offers higher performance : CD players
versus phonographic turntable

25. ADVANTAGES OF DSP
1. The main advantage of digital signals over analog signals
is that the precise signal level of the digital signal is not
vital
2. Digital signals can convey information with greater noise
immunity,
3. It enables multi-directional transmission simultaneously.
4. It is more secure.
5. Enables transmission of signals over a long distance.
6. Digital signals typically use less bandwidth
7. Size is small

26. DISADVANTAGES OF DSP
1. Expensive
2. Harder to design
3. Echo Cancellation
4. Loss of information

29. THE
END

30. THANK
YOU

31. QUIRIES
???