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  #1  
January 27th, 2016, 08:47 AM
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Anna University DSP Notes

I want to get information about the Anna University DSP Notes for Frequency transformations as well as Signals and system. So here can you provide me information about it?
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  #2  
January 27th, 2016, 08:59 AM
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Join Date: Mar 2012
Re: Anna University DSP Notes

If you want to get information about the Anna University DSP Notes for Frequency transformations as well as Signals and system, then here I am telling you about it, as you want.

Below I am providing you a file, which is containing;
Frequency transformations
Signals and system
ADVANTAGES OF DSP OVER ASP
Physical size of analog systems is quite large while digital processors are more compact and light in weight.

Analog systems are less accurate because of component tolerance ex R, L, C and active components. Digital components are less sensitive to the environmental changes, noise and disturbances.

Mathematical signal processing algorithm can be routinely implemented on digital signal processing systems. Digital controllers are capable of performing complex computation with constant accuracy at high speed.

Digital signal processing systems are upgradeable since that are software controlled.

Possibility of sharing DSP processor between several tasks.

The cost of microprocessors, controllers and DSP processors are continuously going down. For some complex control functions, it is not practically feasible to construct analog controllers.

Digital system is most flexible as software programs & control programs can be easily modified.

Digital signal can be stores on digital hard disk, floppy disk or magnetic tapes. Hence becomes transportable. Thus easy and lasting storage capacity.

Digital processing can be done offline. ANALOG SYSTEM ADC DIGITAL SYSTEM DAC

Single chip microprocessors, controllers and DSP processors are more versatile and powerful.


Disadvantages of DSP over ASP
Additional complexity (A/D & D/A Converters)

Limit in frequency.
High speed AD converters are difficult to achieve in practice.
In high frequency applications DSP are not preferred.

CLASSIFICATION OF SIGNALS
Single channel and Multi-channel signals

Single dimensional and Multi-dimensional signals

Continuous time and Discrete time signals.

Continuous valued and discrete valued signals.

Analog and digital signals.

Deterministic and Random signals

Periodic signal and Non-periodic signal

Symmetrical(even) and Anti-Symmetrical(odd) signal

Energy and Power signal


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