tailieunhanh - Lecture Digital signal processing: Chapter 0 - Nguyen Thanh Tuan

After studying this chapter you will be able to: Understand how to convert the analog to digital signal, have a thorough grasp of signal processing in linear time-invariant systems, understand the z-transform and Fourier transforms in analyzing the signal and systems, be able to design and implement FIR and IIR filters. | Chapter 0 Introduction Nguyen Thanh Tuan . 1 Department of Telecommunications 113B3 1 Ho Chi Minh City University of Technology Email nttbk97@ 1 1. Signal and System A signal is defined as any physical quantity that varies with time space or any other independent variable s . Speech image video and electrocardiogram signals are information-bearing signals. Mathematically we describe a signal as a function of one or more independent variables. Examples x t 110sin 2 - 50t I x y 3x 2 xy 10 y2 A system is defined as a physical device that performs any operation on a signal. A filter is used to reduce noise and interference corrupting a desired information-bearing signal. Digital Signal Processing 2 Introduction 1. Signal and System Signal processing is to pass a signal through a system. A digital system can be implemented as a combination of hardware and software program algorithm . Digital Signal Processing 3 .

• Kĩ thuật Viễn thông
• Digital signal processing
• Xử lý tín hiệu số
• Lecture Digital signal processing
• Digital signal
• 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
• Discrete time signals
• 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
• Discrete fourier transform
• Types of signals
• 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