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digital filters

  1. 1. Department of Microelectronics, Indian Institute of Information Technology, Allahabad SUBMITTED 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 a sampled,discrete time signal to reduce or enhance certain aspects of 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 shown below π 1 ω 0 ωc–ωc HLP(e jω ) − π π ω 0 ωc–ωc 1 HHP (e jω ) − π π− π ω 11– –ωc1 ωc1–ωc2 ωc2 HBP (e jω) − π π ω 1 –ωc1 ωc1–ωc2 ωc2 HBS(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 types 1.FIR filter -Operate only on previous values of the input 2.IIR filter -Operates on previous values of input & output both
  7. 7.  A recursive filter has feedback from output to input, and in general its output is a function of the previous output samples and the present and past input samples
  8. 8.  A non recursive filter has no feedback from output to input, and in general its output is a function of the present and past input samples
  9. 9.  Direct Form Direct Filter Structure
  10. 10.  Cascade Form Cascade Filter Structure
  11. 11.  Parallel Form Parallel Form Structure
  12. 12. DIGITAL High Accuracy Linear Phase (FIR Filters) Flexible, Adaptive Filtering Possible Easy to Simulate and Design Computation Must be Completed in Sampling Period - Limits Real Time Operation Requires High Performance ADC,DAC & DSP ANALOG Less Accuracy–Component Tolerances Non-Linear Phase Adaptive Filters Difficult Difficult to Simulate and Design Analog Filters Required at High Frequencies 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  http://en.wikipedia.org/wiki/Digital_filter

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