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EE 624 - Advanced Digital Signal Processing

Digital Filter Advantages. They can have properties that analog filters can't match.There are no temperature variations, age variations, component variations like analog filters.The frequency response can be adjusted automatically in adaptive filters.Multiple inputs can be processed by the same f

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EE 624 - Advanced Digital Signal Processing

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    1. EE 624 - Advanced Digital Signal Processing Dr. Brian T. Hemmelman Digital Filter Basics

    2. Digital Filter Advantages They can have properties that analog filters can’t match. There are no temperature variations, age variations, component variations like analog filters. The frequency response can be adjusted automatically in adaptive filters. Multiple inputs can be processed by the same filter. Filtered and unfiltered data can be saved for future use. Precision, cost, and circuit size is often better. Performance is repeatable from unit to unit. Frequency range of operation can be adjusted just by changing the sampling frequency.

    3. Digital Filter Disadvantages Digital filters have more restrictive speed and frequency limitation. They can’t reach into the upper frequency ranges. Digital filters are subject to finite wordlength effects. “More complicated design”…not as true today as in the past thanks to design tools like MATLAB.

    4. FIR versus IIR Digital Filters There are two basic types of digital filters Finite Impulse Response (FIR) - These filters do not have feedback and only depend on current and past input samples. Infinite Impulse Response (IIR) - These filters use feedback and depend on current and past input samples as well as past outputs.

    5. Difference Between FIR and IIR Filters FIR filters can have linear phase responses. IIR filters have nonlinear phase responses. FIR filters can be designed to always be stable. IIR filters are not necessarily stable. Finite wordlength effects are smaller in FIR filters than in IIR filters. FIR filters require more coefficients and thus more compute cycles than IIR. Analog filter types are easy to convert to IIR filters. FIR filters, though, can have arbitrary frequency responses.

    6. FIR Impulse Response

    7. General FIR Filter Response

    8. IIR Filter Structure

    9. IIR Filter Structure

    10. IIR Filter Structure

    11. Realization Structures for Digital Filters

    12. Realization Structures for Digital Filters

    13. Realization Structures for Digital Filters

    14. Example 4.14

    15. Example 4.14

    16. Example 4.14

    17. Filter Specifications

    18. Example 6.2

    19. Example 6.2

    20. FIR Window Method

    21. FIR Window Method

    22. FIR Window Method

    23. FIR Window Method

    24. Using Windows

    25. Window Method

    26. Window Method

    27. Hamming Window

    28. Hamming Window

    29. Optimal Filter Design

    30. Optimal Filter Design

    31. Optimal Filter Design

    32. Optimal Filter Design with MATLAB

    33. Optimal Filter Design with MATLAB

    34. Frequency Sampling Method

    35. Frequency Sampling Method

    36. Frequency Sampling Method

    37. Frequency Sampling Filter Design with MATLAB

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