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IIR Filter Design

March 12, 2019 by 3200 Creative

Infinite impulse response or IIR filters are designed using well-established designs for continuous-time filters. In this series of eight lessons you will learn the characteristics of the four widely used types of IIR filters and the principles of converting a continuous-time prototype filter to a discrete-time filter that satisfies your design specifications. In practice the steps of the design process are normally performed using a software package such as MATLAB. You will learn the rationale behind and limitations of IIR filter design methodology. Examples of both good and poor quality filter designs are provided so you can recognize when your design is effective and when it is problematic.

Course Content

Lessons Status
1

IIR Filter Design Procedure

2

Analog Filters Used for IIR Filter Design

3

Continuous-Time Butterworth Filters

4

Continuous-Time Chebyshev and Elliptic Filters

5

Frequency Transformations for Continuous-Time Systems

6

The Bilinear Transform

7

IIR Filter Examples Designed Using MATLAB

8

Poor IIR Filter Designs: Don't Make These Mistakes

9

Jupyter Notebook: IIR Filter Design Examples

Filed Under: Uncategorized

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Course Lessons

  • IIR Filter Design Procedure

  • Analog Filters Used for IIR Filter Design

  • Continuous-Time Butterworth Filters

  • Continuous-Time Chebyshev and Elliptic Filters

  • Frequency Transformations for Continuous-Time Systems

  • The Bilinear Transform

  • IIR Filter Examples Designed Using MATLAB

  • Poor IIR Filter Designs: Don’t Make These Mistakes

  • Jupyter Notebook: IIR Filter Design Examples

Courses

  • Foundations

  • Time Domain LTI Systems

  • Fourier Series and Transforms

  • Sampling and Reconstruction

  • The DFT and Applications

  • The Z-Transform

  • Intro to Filter Design

  • IIR Filter Design

  • FIR Filter Design

  • Random Signal Characterization

  • Basis Representations of Signals

  • Estimation of Power Spectra and Coherence

  • Introduction to Signal Estimation and Detection Theory

  • MMSE Filtering and Least-Squares Problems

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