Bài giảng "Xử lý tín hiệu số - Chapter 0: Introduction" trang bị cho người học những nội dung chính sau: Signal and systems, classification of signal, basic elements of a DSP system, DSP applications - communications, . Mời các bạn cùng tham khảo. | Chapter p 0 Introduction Ha Hoang Kha to edit Master subtitle style Ho Chi Minh City University of Technology @ Email hhkha@ https tailieudientucntt 1. Signal and Systems A signal is defined as any physical quantity that varies with time space or an space any other independent variables. ariables Speech image video and electrocardiogram signals are information-bearing signals. g Mathematically we describe a signal as a function of one or more independent p variables. Examples x t 110sin 2π 50t I x y 3 x 2 xy 10 y 2 A system is defined as a physical device that performs any operation g on a signal. A filter is used to reduce noise and interference corrupting a desired information-bearing signal. Ha H. Kha 2 Introduction https tailieudientucntt 1. Signal and Systems Signal processing is to pass a signal through h h a system. A digital system can be implemented as a digital computer or digital hardware logic circuits . Ha H. Kha 3 Introduction https tailieudientucntt 2. Classification of Signal Multichannels and Multidimensional signals Signals which are generated by multiple sources or multiple sensors can be represented in a vector form. Such a vector of signals is referred to as a multichannel m ltichannel signals Ex 3-lead and 12-lead electrocardiograms ECG are often used in practice which results in 33-channel channel and 12-channel 12 channel signals signals. A signal is called M-dimensional if its value is a function of M independent d d variable b Picture the intensity or brightness I x y at each point is a function of 2 independent variables Color TV picture is 3-dimensional signals I x y t Ha H. Kha 4 Introduction https tailieudientucntt 2. Classification of Signal Continous-time versus discrete-time signal Signals can be classified into four different categories depending on the characteristics of the time variable and the
