tailieunhanh - Lecture Digital signal processing: Lecture 1 - Zheng-Hua Tan

Lecture Digital signal processing - Lecture 1 introduction, discrete-time signals and systems. After completing this chapter, students will be able: To make the students able to apply digital filters according to known filter specifications, to provide the knowledge about the principles behind the discrete Fourier transform (DFT) and its fast computation,. | Digital Signal Processing Fall 2006 Lecture 1 Introduction Discrete-time signals and systems Zheng-Hua Tan Department of Electronic Systems Aalborg University Denmark zt@ 1 Digital Signal Processing I Zheng-Hua Tan 2006 AALBORG UNIVERSITY Part I Introduction Introduction Course overview Discrete-time signals Discrete-time systems Linear time-invariant systems 2 Digital Signal Processing I Zheng-Hua Tan 2006 AALBORG UNIVERSITY 1 General information Course website http zt cources DSP Textbook Oppenheim . Schafer Discrete-Time Signal Processing 2nd Edition Prentice-Hall 1999. Readings Steven W. Smith The Scientist and Engineer s Guide to Digital Signal Processing California Technical Publishing 1997. http You can download the entire book Kermit Sigmon Matlab Primer Third Edition Department of Mathematics University of Florida. . Ingle and . Proakis Digital Signal Processing using MATLAB Bookware Companion Series 2000. 3 Digital Signal Processing I Zheng-Hua Tan 2006 AALBORG UNIVERSITY General information Duration 2 ECTS 10 Lectures Prerequisites Background in advanced calculus including complex variables Laplace- and Fourier transforms. Course type Study programme course SE-course meaning a written exam at the end of the semester Lecturer Associate Professor PhD Zheng-Hua Tan Niels Jernes Vej 12 A6-319 zt@ 45 9635-8686 4 Digital Signal Processing I Zheng-Hua Tan 2006 AALBORG UNIVERSITY 2 Course at a glance Course objectives Part I To give the students a comprehension of the concepts of discrete-time signals and systems To give the students a comprehension of the Z- and the Fourier transform and their inverse To give the students a comprehension of the relation between digital filters difference equations and system functions To give the students knowledge about the most important issues in sampling and reconstruction 6 Digital Signal Processing I Zheng-Hua Tan 2006 AALBORG UNIVERSITY

• Kĩ thuật Viễn thông
• Digital signal processing
• Digital signal
• Lecture Digital signal processing
• Discrete time signals
• Types of signals
• Discrete Fourier transform
• Xử lý tín hiệu số
• Signal processing
• DSP applications
• Digital Signal Processing Research Program
• Avanced Telecommunications and Signal Processing Program
• Signal Processing Program
• Combined Source
• Block processing methods
• Sample processing methods
• VLSI Digital signal processing systems
• DSP systems
• FIR Digital Filters
• Parallel processing
• Digital signal processing: Principles Algorithms and Applications
• Fast fourier transform algorithms
• Discrete time systems
• Design of digital filters
• Multirate digital signal processing
• Lecture Signal processing
• Xử lý tín hiệu
• Mixed signals processing
• Applications of digital signal processing
• Block diagram representation
• Signal flow graph description
• Quantization process
• Digital to analog converters
• Transfer functions
• Digital filter realization
• Discrete time signal
• Ultrasound signal processing
• Hardware software partitioning
• Digital signal processing systems
• Ultrasound devices
• Sampling theorem
• Analog reconstruction
• The z transform
• Properties of the z transform
• Discrete time fourier transform
• System impulse response
• Fourier transforms
• Inverse z transform
• Properties of z transform
• Periodic sampling
• „Frequency domain representation
• System analysis
• Frequency response
• Filter design
• IIR filter design
• FIR filter design
• Linear phase FIR filter
• Fourier transform
• Fast fourier transform
• Decimation in time FFT algorithms
• Loop bound
• DSP programs