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PRECISION-AWARE SELF-QUANTIZING HARDWARE

ARCHITECTURES FOR THE DISCRETE WAVELET

TRANSFORMABSTRACT:

This paper presents designs for both bit-parallel (BP) and digit-serial (DS) precision-

optimized implementations of the discrete wavelet transform (DWT), with specific consideration

given to the impact of depth (the nmber of levels of DWT) on the overall comptational

accrac!" These methods ths allow cstomizing the precision of a mltilevel DWT to a given

error tolerance re#irement and ensring an energ!-minimal implementation, which increases the

applicabilit! of DWT-based algorithms sch as $P%& ' to energ!-constrained platforms and

environments"

EXISTING SYSTEM:

The basic principle behind the lifting based scheme is to decompose the finite implse

response (*+) filters in wavelet transform into a finite se#ence of simple filtering steps"

EXISTING SYSTEM ALGORITHM:

ifting Based Discrete wavelet Transform

EXISTING SYSTEM DRAWBACKS:

• *ncrease the area

• atenc! will be high

PROPOSED SYSTEM BLOCK DIAGRAM:

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PROPOSED SYSTEM ADVANTAGES:

• *mprove the in hardware resources

• *mprove the execution time

• Avoiding overfows

SOFTWARE REQUIREMENTS:

• odelSim ."/c

• 0ilin1 23"'

• atlab 4"2/(+'2'a)

HARDWARE REQUIREMENT:

• P&5 Spartan 3(1c3s/ p# '6)

REAL TIME EXAMPLE:

• Signal coding,

• data compression"

• *mplemented as analog filter ban7 in biomedical signal processing for design of low-

 power pacema7ers

 

8ltra-wideband (wb) wireless commnication

FUTURE ENHANCEMENT:

or ftre sing atlab software, we obtain the PS9+ vale is better than or proposed

method"