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AKTU Adaptive Signal Processing (BAC051) Syllabus PDF – B.Tech 3rd Year
Adaptive Signal Processing BAC051
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Official AKTU syllabus of Adaptive Signal Processing (BAC051) for B.Tech 3rd Year – 3 credits, L-T-P 3-0-0. Read the unit-wise course content, course outcomes, evaluation pattern and recommended books online, or download the PDF.
Syllabus — Adaptive Signal Processing
Download PDFBAC051 · 3 credits · L-T-P 3-0-0
| Unit | Topics | Lectures |
|---|---|---|
| I | Digital Processing of Continuous-Time Signals: Sampling of low pass continuous-time signals; Bandpass Sampling, Aliasing, reconstruction of sampled signal. Anti-aliasing filter characteristics, Physical reliability of systems, analog to discrete signal representations. | 6 |
| II | IIR filter design by approximation of derivatives, Inverse Chebyshev filter, Elliptic filters. Overview of FIR filter design using window function. | 6 |
| III | Multirate digital signal processing, Basic structures for sampling rate conversion, Decimators, and Interpolators; Multistage design of interpolators and decimators; Polyphase decomposition and FIR structures; | 6 |
| IV | Filtering Problems, Adaptive filters, Linear Filter Structures: Transversal Filter. Introduction of Adaptive filtering algorithms: LMS Algorithm, RLS Algorithm. | 6 |
| V | Go Programming Concepts: Module 1 - Getting Started: Go Runtime and Compilations, Keywords and Identifiers, Constants and Variables, Operators and Expressions, Local Assignments, Booleans, Numerics, Characters, Pointers and Addresses, Strings Module 2 – Constructs: if-else and switch, for Statements, Counter-controlled Iterations, Condition-controlled Iterations, Range Loops, using break and continue Module 3 – Functions: Parameters and Return Values, Call by Value and Reference, Named Return Variables, Blank Identifiers, Variable Argument Parameters, Using defer statements, Recursive Functions, Functions as Parameters, Closures Module 4 - Working with Data: Array Literals, Multidimensional Arrays, Array Parameters, Slices and Slice Parameters, Multidimensional Slices, Reslicing, Maps and Map Parameters, Map Slices, Structures and Structure Parameters, Structure Tags and Fields, Embedded Structures, Recursive Structures Module 5 - Methods and Interfaces: Method Declarations, Functions vs. Methods, Pointer and Value Receivers, Method Values and Expressions, Interface Types and Values, Type Assertions and Type Switches, Method Sets with Interfaces, Embedded Interfaces, Empty Interfaces, Working with Interfaces Module 6 - Goroutines and Channels: Concurrency vs. Parallelism, Goroutine Functions and Lambdas, Wait Groups, Channels, Sending and Receiving, Unbuffered and Buffered Channels, Directional Channels, Multiplexing with select, Timers and Tickers Module 7 - Packages and Testing: Packages and Workspaces, Exporting Package Names, Import Paths and Named Imports, Package Initializations, Blank Imports, Unit Testing with Test Functions, Table Tests and Random Tests, Benchmarking Module 8 - Working with Go: Files and Directories, Reading Directories, Reading Files, Writing Files, Copying Files, Error Strategies, Panic and Recover, Package Error Handling, Regular Expressions | 16 |
Text Books
- “Digital Signal Processing, 4th Edition” by Proakis and Manolakis, Prentice Hall, 2007 (ISBN: 0-13-187374-1).
- Vetterli, J. Kovacevic, and V. K. Goyal, “Foundation of Signal Processing”, Cambridge University Press, 2014
Reference Books
- Rabiner & Gold, “Theory & application of digital Signal Processing”, PHI 1992.
- Roman kuc, “Introduction to Digital Signal Processing,” McGraw hill Edition.
- Openheim AV & Schafer RW, “Discrete Time Signal Processing” PHI.
- Fredric J Harris, “Multirate Signal Processing for Communication Systems”, ISBN: 9788770222105, River Publishers Series in Signal, Image and Speech Processing.
Course Outcomes
- Apply the Signal processing in the conversion of analog to discrete signals.
- Apply mathematical tools to real-world signal processing.
- Analyze the sampling rate conversion methodologies.
- Apply the fundamental knowledge of adaptive filtration for signal processing.
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