dsp (digital signal processing)

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DSP (digital signal processing) (DSP) deals with commonly signals such as speech, music, video, EKG or ECG (heart), and EEG (brain).

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DSP (digital signal processing). (DSP ) deals with commonly signals such as speech, music, video, EKG or ECG (heart), and EEG (brain). Applications of DSP. Signal transmission /storage/retrieval. Information extraction . Speech ,image and character recognition. - PowerPoint PPT Presentation

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Page 1: DSP (digital signal processing)

DSP (digital signal processing)(DSP) deals with commonly signals

such as speech, music, video, EKG or ECG (heart), and EEG (brain).

Page 2: DSP (digital signal processing)

Applications of DSP

Signal transmission /storage/retrieval Information extraction

Speech coding , music coding, data compression

communication over noisy channels

Radar and sonar signal processing

Speech ,image and character recognition

Page 3: DSP (digital signal processing)

Preparing the analog signal for communication through a communication channel

Page 4: DSP (digital signal processing)

Analyzing the analog signal for use in a voice recognition telephone system.

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DSP block diagram

SIGNALS, SYSTEMS, AND SIGNAL PROCESSINGA signal is defined as any physical quantity that vary with time or any independent variablesA system may also be defined as a physical device that performs an operation on a signalA Signal processing is the operations that performed on the signal means processed the signal.

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Classification of signals:-

• Multi channel and multi dimension signals• Continuous Time versus Discrete Time Signal• Continuous – Valued versus Discrete – Valued

Signals• Deterministic signal and Random signal

Page 7: DSP (digital signal processing)

Analog-To-Digital convertor

• Sampler• Quantization• Coding.

Sampler Quantizes Codes

Discrete time signal Digital signal

Quantized signal Analog signal

Page 8: DSP (digital signal processing)

Sampling of analog signal

This is the conversion of a continuous-time signal into

discrete-time signal obtained by taking samples of the

continuous-time signal at discrete-time instant

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The sampling theorem introduced by Nyquist and later by Shannon is used to determine the appropriate sampling rate

Fs≥2Fmax

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