Digital Signal Processing

🎓 Master Digital Signal Processing with Dr. Amol Prakash Bhagat 🚀 GroupLayout:

• Intermediate Level
• Duration: ~8 Weeks (6-8 hours/week)

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🎉 Course Headline: "Signal Processing: From Theory to Practice"

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🔍 Course Description:

Explore the world of Digital Signal Processing (DSP) with our comprehensive online course designed for professionals and enthusiasts looking to master DSP techniques. In this course, you will delve into the intricacies of signal processing, from the basics to advanced applications. Join us on a journey through the discrete-time domain where you will:

Discrete-Time Signals and Systems:

• Understand DSP: Learn about the advantages, basic elements, and how digital signal processing systems are designed.
• Sampling Theorem & Conversion: Get to grips with the Nyquist theorem, A/D and D/A conversion, and quantization processes.

Analysis of DTLTI Systems:

• Convolution Sum & Properties: Master the convolution sum, its properties, and how they apply to causal LTI systems.
• Stability & Step Response: Analyze the stability and step response of LTI systems, understand difference equations, and explore recursive and non-recursive discrete time systems.

z-Transform and Analysis:

• z-Transform Basics: Discover the z-Transform and its properties, learn how to evaluate rational z-Transforms, and analyze LTI systems in the z-domain.
• Fourier Transforms & FFT: Dive into Fourier transforms, their relation to z-transforms, and learn about the discrete Fourier transform (DFT) and fast Fourier transform (FFT) algorithms like radix-2 and radix-4.

Design of Digital Filters:

• Filter Classification: Learn to classify filters into low-pass (LP), high-pass (HP), band-pass (BP), finite impulse response (FIR), and infinite impulse response (IIR) filters, and understand filter specifications.
• FIR & IIR Design Methods: Explore FIR design using Windows and frequency sampling methods, and IIR designs from analog filters through approximation of derivatives and various transformations like Impulse Invariant, Bilinear, and Matched z-Transformation.

Realization of Discrete-Time Systems:

• System Structures: Understand the different structures for realizing discrete-time systems.
• FIR & IIR Realizations: Get hands-on with the realization of FIR systems using direct form, cascade form, frequency sampling, and lattice structures; and explore the realization of IIR filters through direct forms, signal flow graphs, transposed structures, cascade forms, and lattice and lattice ladder approaches.

By the end of this course, you will have a solid understanding of DSP concepts, be able to design and realize digital filters, and apply these principles in practical scenarios. This course is perfect for engineers, researchers, and students who wish to extend their knowledge of signal processing or prepare for more advanced studies in DSP.

🎁 What You'll Get:

• Expert lectures from Dr. Amol Prakash Bhagat
• Comprehensive course materials and resources
• Practical assignments and projects
• Access to an exclusive online community for support and networking
• A certificate of completion from our esteemed platform

📅 Enroll Now & Kickstart Your DSP Journey! 🌟

Don't miss out on the opportunity to transform your understanding of digital signal processing. Enroll today and unlock a world of possibilities with Dr. Amol Prakash Bhagat's expert guidance. Let's process signals like never before! 🤖✨