Frequency Domain Analysis Of Discrete Time Signals And Design Of Infinite Impulse Response Iir And Finite Impulse Response Fir Filters
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Frequency-domain analysis of discrete-time signals and design of Infinite-Impulse Response (IIR) and Finite-Impulse Response (FIR) filters
Project Report in the subject Engineering - Communication Technology, Asia Pacific University of Technology and Innovation, language: English, abstract: The main objectives of this lab report is to generate frequency-domain analysis of discrete-time signals and to design appropriate Infinite-Impulse Response (IIR) and Finite-Impulse Response (FIR) filters. Digital filters provide an important role in the world of communication. This lab report will discuss the steps taken to develop and design IIR and FIR filters of two filters types which are the Low-pass and the Band-pass filters. The main objective of this lab report to compare and analyze the IIR and FIR filters. At first, a background about the topic of the report would be made. Then, the theoretical concept of the filters is being discussed. After that, the procedure and the steps taken to design the filters are to be explained. Then, the results would be displayed and analyzed. A discussion about the observations and findings made are to be stated. At last, a conclusion about the achievements made and the major outcomes of the investigation are stated.
Introduction to Digital Signal Processing and Filter Design
A practical and accessible guide to understanding digital signal processing Introduction to Digital Signal Processing and Filter Design was developed and fine-tuned from the author's twenty-five years of experience teaching classes in digital signal processing. Following a step-by-step approach, students and professionals quickly master the fundamental concepts and applications of discrete-time signals and systems as well as the synthesis of these systems to meet specifications in the time and frequency domains. Striking the right balance between mathematical derivations and theory, the book features: * Discrete-time signals and systems * Linear difference equations * Solutions by recursive algorithms * Convolution * Time and frequency domain analysis * Discrete Fourier series * Design of FIR and IIR filters * Practical methods for hardware implementation A unique feature of this book is a complete chapter on the use of a MATLAB(r) tool, known as the FDA (Filter Design and Analysis) tool, to investigate the effect of finite word length and different formats of quantization, different realization structures, and different methods for filter design. This chapter contains material of practical importance that is not found in many books used in academic courses. It introduces students in digital signal processing to what they need to know to design digital systems using DSP chips currently available from industry. With its unique, classroom-tested approach, Introduction to Digital Signal Processing and Filter Design is the ideal text for students in electrical and electronic engineering, computer science, and applied mathematics, and an accessible introduction or refresher for engineers and scientists in the field.
Discrete Time Systems and Signal Processing
This book is designed to serve as a textbook for courses offered to undergraduate students enrolled in the Electrical, Electronics, Communications, and Instrumentation Engineering disciplines. The book presents a clear and comprehensive introduction to digital signal processing. For easier comprehension, the course contents of all the chapters are in sequential order. A variety of examples and solved problems are included in the book to enable application and ease of understanding of theoretical concepts. Every chapter contains several homework problems with answers followed by question-and-answer-type assignments. The detailed coverage and pedagogical tools make this an ideal textbook for students and researchers enrolled in electrical engineering and related programs.