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DIGITAL SIGNAL PROCESSING

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DIGITAL SIGNAL PROCESSING

  1. 1. PRIYADARSHINI BHAGWATI COLLEGE OF ENGINEERING PRESENTED BY: Snehal Hedau (EC) A Presentation On Digital Signal Processing
  2. 2.  Introduction to DSP.  Principles and operation of DSP.  Advantages and disadvantages of DSP.  Applications.  Conclusion.
  3. 3. What is Signal?? Ans: Any physical phenomenon that carries or convey information from one place to other and represents as a function of independent variables such as time, distance, etc.
  4. 4. WHAT IS SIGNALPROCESSING? SIGNAL PROCESSING is the analysis, interpretation and manipulation of like sound, images, time-varying measurement values and sensor data etc. Types of signal processing: 1. Analog signal processing 2. Digital signal processing
  5. 5. DIGITAL SIGNALPROCESSING: DIGITAL: Operating by the use of discrete signal to represent data in the form of numbers. SIGNAL: A parameter (electrical quantity or effect) that can be varied in such a way as to convey information. PROCESSING: a series operation performed according to programmed instructions.
  6. 6. Distortion signal processing
  7. 7. Digital signal processing consist of anti-aliasing filter ,ADC, digital processor, DAC and a reconstruction filter.
  8. 8. Two uses : Signal separation Signal Restoration Example: an audio recording made with poor equipment may be filtered to get the original sound. FILTER DIGITAL FIR IIR ANALOG
  9. 9. Another example of deblurring of an image occurred with an improperly focused lens or a shaky camera. So these problems can be solved with either analog or digital filter .
  10. 10. Digital filter are vastly superior in the level of performance in comparison to analog filters. Processes Generates Digital Data Adder Multiplier Delay Units
  11. 11. DSP filter is immune to: Environmental Changes Noise and relatively Stable Impedance Matching Computational Problems Availability of : Multiple Filtering Variety of Shapes for Amplitudes and Phase Response. Easy Transportation and Reconfiguration.
  12. 12.  Accuracy  Flexibility  Easy operation  Multiplexing  Storagable
  13. 13. LIMITATIONS OF DSP Antialias filter  Frequency Resolution  Quantization Error
  14. 14. Image processing Consumer application Cellular mobile phones In Communication In Speech and Music In Biomedical In Radar and Sonar
  15. 15.  CONCLUSION: Digital Processing – a series of instructions to manipulate the digital numbers. DSP is used in wide range in everyday applications. Digital Signal Processing (DSP) is often used in modern audio logical equipment. Storage capability.
  16. 16. REFERENCES: www.dspguru.com http/:www.seminarslides.com/ http/:www.ti.com/lsds/ti/dsp http/:electronics./ti/dsp http/:en.wikibooks.org/digital/ http/:www.slideshare.com

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