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CSE3301: REAL-TIME DIGITAL SIGNAL PROCESSING
Core/Elective: Core Semester: 3 Credits: 4
Course Description

This course introduces the theory of digital signal processing and the important skill of real-time DSP design and implementation techniques.

Course Objectives

To study principles, concepts and practice of Digital Signal Processing.
To familiarize Explain the methods and processes of constructing the different types of Filers
To Understand Speech and Channel coding techniques

Profile

1. Elements of Real-Time DSP systems – DSP hardware – DSP System design – DSP Development tools - Digital signals and systems – System concepts – Random variables – Fixed point representations and Quantization effects – overflow and solutions – Quantization of signals

2. Introduction to FIR filters – Design of FIR filters – implementation considerations – Interpolation and Decimation Filters – Design of IIR filters – Frequency analysis and FFT

3. Adaptive filtering – Random Processes – Digital signal generators – Adaptive echo cancellation

4. Speech coding techniques – overview of CODECs – VoIP – Speech enhancement techniques – Spectral substraction – Voice activity detection – Voice enhancement – Audio signal processing

5. Channel coding techniques – Block codes – Convolutional codes – Viterbi decoding and applications – Digital Image Processing – Color spaces – Color balance and correction – Image histogram – Image filtering using Fast convolution

REFERNCES

1. Sen M. Kuo, Bob H. Lee and Wenshun Tian, “Real-Time Digital Signal Processing: Implementations and Applications” Wiley; 2 edition (2006) ISBN-13: 978-0470014950
2. Nasser Kehtarnavaz, “Real-Time Digital Signal Processing” Newnes (2004) ISBN-13: 978-0750678308
3. Paul Embree, “C Algorithms for Real-Time DSP” Prentice Hall (1995) ISBN-13: 978-0133373530


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