introduction
DESCRIPTION
DIGITAL SIGNAL PROCESSING. Introduction. Course information. Course information(C0ntd..). Discrete Time signal. Sequence x[n] as opposed to continuous time signals x(t). Discrete in Nature. Population statistics Stock market indices. Sampled continuos time (analog) signals. Example - PowerPoint PPT PresentationTRANSCRIPT
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DIGITAL SIGNAL PROCESSING
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• Sequence x[n] as opposed to continuous time signals x(t)
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• Population statistics
• Stock market indices
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o Example• Speech
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Original speech
Down sample
High pass
Low pass
Up sample
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MotionAnalysis
VideoSynthesis
Object 1
Object 2
General Concept:
ApplicationsAnalysis
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y(n)=T{x(n)}
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Discrete Time Signal Processing of Continuous Signals
x (t)
y(t)x (n)
y (n)
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Digital Signal Processing (DSP) is derived from DTSP
x(t) x(n) y(n) y(n)
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• Converting analog signal into digital sequence.• Performing all signal processing operations in digital in digital
form.• If necessary converting the digital information back to analog
signal.
• A TYPICAL DSP SCHEME
DACDSP
Processor
ADCAnalog Filter
Analog Filter
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FLEXIBILITY
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ASIC FPGA µP/µC DSP Processor
Flexibility None Limited High High
Design Time Long Medium Short Short
Power Consumption
Low Low- Medium Medium- High
Low- Medium
Performance High High Low Medium Medium-High
Development Cost
High Medium Low Low
Production Cost
Low Low- Medium Medium-High Low-Medium
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• DSP: A/D,D/A• System Design and Implementation
• Practical computation of F