digital filters


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digital filters

  1. 1. Department of Microelectronics,Indian Institute of Information Technology, AllahabadSUBMITTED BY:Prashant singh(imi2011003)Rahul Patidar(imi2011011)
  2. 2.  Introduction Classification Types Structures Digital Vs Analog filters Refrences
  3. 3.  Electronic circuits which perform signal processing functions,remove unwanted frequency component, to enhance wanted ones,or both. Digital filter-Performs mathematical operations on asampled,discrete time signal to reduce or enhance certain aspectsof that signal. Filters generally do not add frequ-ency components to a signal. Boost or attenuate selected frequ-ency regions.Digital Filtering
  4. 4.  Magnitude response consideration. Four basic types of ideal filters with magnitude responses as shownbelowπ1ω0 ωc–ωcHLP(e jω)− π πω0 ωc–ωc1HHP (e jω)− ππ− πω11––ωc1 ωc1–ωc2 ωc2HBP (e jω)− π πω1–ωc1 ωc1–ωc2 ωc2HBS(e jω)
  5. 5.  Depending on the form of the filter equation(a) Linear filters versus nonlinear filters.(b) Time-invariant filters versus time-varying filters.(c) Adaptive filters versus non-adaptive filters.(d) Recursive versus non-recursive filters. Depending on the structure of implementation(a) Direct-form, cascade-form, parallel-form and lattice structures.
  6. 6.  A class of linear filters whose behavior does not change over time- Linearity implies that the filter meets the scaling and superposition properties. Two types1.FIR filter-Operate only on previous values of the input2.IIR filter-Operates on previous values of input & output both
  7. 7.  A recursive filter has feedback fromoutput to input, and in generalits output is a function of the previousoutput samples and the present andpast input samples
  8. 8.  A non recursive filter has no feedback from output to input, andin general its output is a function of the present and past inputsamples
  9. 9.  Direct FormDirect Filter Structure
  10. 10.  Cascade FormCascade Filter Structure
  11. 11.  Parallel FormParallel Form Structure
  12. 12. DIGITALHigh AccuracyLinear Phase (FIR Filters)Flexible, Adaptive FilteringPossibleEasy to Simulate and DesignComputation Must be CompletedinSampling Period - Limits RealTime OperationRequires High PerformanceADC,DAC & DSPANALOGLess Accuracy–Component TolerancesNon-Linear PhaseAdaptive Filters DifficultDifficult to Simulate andDesignAnalog Filters Required at HighFrequencies and for Anti-Aliasing FiltersNo ADC, DAC, or DSP Required
  13. 13.  Introduction to Speech Processing | Ricardo Gutierrez-Osuna | CSE@TAMU, chapter 10 of [Taylor, TTS synthesis, 2009]. An Introduction to Digital Filters,application note,january1999, Intersil and Design is a trademark of Intersil Corporation. |Copyright©Intersil Corporation 2000 Digital Filters and Z Transforms,Copyright © Richard C. Bailey and David M. Harrison, 1998, 1999