Digital Filters - FIR & IIR

Design FIR & IIR filters with Practical Approach in Python

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Digital Filters - FIR & IIR

What You Will Learn!

  • Understand DT-LTI system as a filter
  • Design digital FIR filters to satisfy the given specifications and evaluate the frequency response to choose a particular filter for the given application
  • Design digital IIR filters to satisfy the given specifications and evaluate the frequency response to choose a particular filter for the given application
  • Solve different designing statements theoretically as well as practically in python implementation

Description

This course covers Digital filters designing techniques with practical implementation in Python, for filters like Finite Impulse Response (FIR) and Infinite Impulse Response (IIR). This course is suitable for students, engineers, academicians, illustrating theory as well as practical implementation with variety of examples.

During my teaching experience, I noticed that students are more confused about the basic concepts of Filter design and struggle to design filters in the correct way. This course will give further confidence to students, engineers for filter designing in all aspects, theoretically and practically, and enable them to apply filters in different DSP applications

This course starts with basic filtering concept in Digital Signal Processing (DSP) and then explains how DT-LTI system works as filter. It also explains basic characteristics of DT-LTI system to work as FIR and IIR filter.

The subsequent sections explain various FIR filter design methods like windowing & frequency sampling and IIR filter design techniques in very easy way, step by step, with examples solved theoretically and practically. Here FIR filter and IIR filters are explained in detail along with applications.

This course will be useful for students taking the ‘DSP’ course as well as for engineers who would like to implement filters practically.

I will be regularly updating this course in near future.

Happy Learning!!

Who Should Attend!

  • students, academicians taking the ‘DSP’ course as well as for engineers who would like to implement filters practically

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Tags

  • Signal Processing

Subscribers

458

Lectures

54

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