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Keep shoppingLearn Digital Signal Processing (DSP)
1,072 students
Learn Digital Signal Processing (DSP)
Easy to comprehend DSP theory & applications enriched with numerous solved numerical
Created byDipali Bansal
Last updated 12/2020
English
What you'll learn
- Discrete Time Signals & Systems, Manipulations on Discrete Time Signals & Systems
- LTI System, Impulse Response
- Z Transform, Inverse ZT, Properties of ZT, Region of Convergence
- Convolution & Correlation
- Discrete Fourier Transform, DFT properties, (Discrete Time Fourier Transform DTFT)
- Fast Fourier Transform (FFT) using DIT and DIF Algorithm
- Design of Digital IIR Filters | Impulse invariant & Bilinear Transformation
- Butterworth & Chebyshev Filter design
- Digital Filter Structures - IIR & FIR | Direct, Cascade, Parallel, Lattice Structures
- Design of Digital FIR Filters | Window Technique
- Linear Phase FIR Filters
- Frequency Sampling Method | FIR Filter Design
- Optimum Filters
- Finite word length effects
Explore related topics
Course content
6 sections • 33 lectures • 7h 4m total length
Requirements
- Mathematics and Signals & Systems
Description
This course shall cover the basics of Discrete Time Signals and Systems. It shall also cover Z Transform & Inverse ZT, Digital IIR & FIR filter designing & their structures. The course shall be enriched with solved numerical and practice assignments. Students will be able to understand the concept of DSP and can explore its application in real time. The knowledge gained from here would be helpful in obtaining requisite credits in their UG program & also score well in competitive exams.
Who this course is for:
- Engineering Students
- Signal processing scientists