Introduction to Digital Signal Processing Course No: 010211 Class hours credits: 48 [3 Course Type: Optional Prerequisites: Signal and System, Engineering Mathematics Object Majors: Communication Engineering, Electronic Information Engineering, Information Engineering, Radio and Television Engineering, Communication Engineering Professional Excellence Class, IT elite class, Electronic Science and Technology, Electromagnetic Field and Wireless Technology, Information and Computational Science, Mathematical Science and Information Technology Basic Class, etc. Digital Signal Processing course is the discipline basic course for the information and communication engineering, control science and engineering and other professional. This course mainly teaches the basic knowledge of digital signal processing theory and technology, including the time domain and frequency domain analysis of discrete time domain signal and system, the discrete Fourier transform and its fast algorithm Fft. the network structure of digital discrete system, the design theory and method of lIR and Fir digital filter, the basic realization method of the digital signal processing, etc. Through the learning of this course, students can lay the foundation for studying of following professional courses, such as communication theory, digital image processing, speech signal processing, DSP theory and application, etc. Moreover, it will help for the further study of the modern digital signal processing theory and implementation techniques This is an introductory theory course of the digital signal processing subject; the main purpose is to enable students to have a more comprehensive understanding of the concept and principle of digital signal processing, as well as the design methods of the filter. This course mainly focuses on the explanation of the basic concept and principle; it can lay the foundation fo tudents as well as the modern signal processing and spectrum analysis course. The focuses of the course are: understanding the Fourier transform of the sequence, Fourier series of the periodic sequence; the definition and nature of the discrete Fourier transform (DFT)and fast Fourier transform(FFT), and the relationship between DFT and FFT; Being familiar with the application of the DFT(FFT), such as fast convolution method and the signal spectrum analysis, etc Mastering the design method and the application of the IIR and Ftr digital filter. In the course teaching, in addition to the introduction of basic concept, principle and method also focus on the digital signal processing algorithm implementation and the specific application. The MATLAB software is introduced in the course of digital signal processing, and is using for the spectrum analysis of speech signal, all kinds of digital filter design and digital filter, etc. By learning of this course, students can understand the principle of digital signal processing algorithm, and get exercise on thinking after familiar with the specific application, and also can cultivate and enhance the ability to analyze solve the problemIntroduction to Digital Signal Processing Course No: 010211 Class hours [credits]:48[3] Course Type: Optional Prerequisites: Signal and System, Engineering Mathematics Object Majors: Communication Engineering, Electronic Information Engineering, Information Engineering, Radio and Television Engineering, Communication Engineering Professional Excellence Class, IT elite class, Electronic Science and Technology, Electromagnetic Field and Wireless Technology, Information and Computational Science, Mathematical Science and Information Technology Basic Class, etc. Digital Signal Processing course is the discipline basic course for the information and communication engineering, control science and engineering and other professional. This course mainly teaches the basic knowledge of digital signal processing theory and technology, including: the time domain and frequency domain analysis of discrete time domain signal and system, the discrete Fourier transform and its fast algorithm FFT, the network structure of digital discrete system, the design theory and method of IIR and FIR digital filter, the basic realization method of the digital signal processing, etc. Through the learning of this course, students can lay the foundation for studying of following professional courses, such as communication theory, digital image processing, speech signal processing, DSP theory and application, etc. Moreover, it will help for the further study of the modern digital signal processing theory and implementation techniques. This is an introductory theory course of the digital signal processing subject; the main purpose is to enable students to have a more comprehensive understanding of the concept and principle of digital signal processing, as well as the design methods of the filter. This course mainly focuses on the explanation of the basic concept and principle; it can lay the foundation for students as well as the modern signal processing and spectrum analysis course. The focuses of the course are: understanding the Fourier transform of the sequence, Fourier series of the periodic sequence; the definition and nature of the discrete Fourier transform (DFT) and fast Fourier transform (FFT), and the relationship between DFT and FFT; Being familiar with the application of the DFT (FFT), such as fast convolution method and the signal spectrum analysis, etc.; Mastering the design method and the application of the IIR and FTR digital filter. In the course teaching, in addition to the introduction of basic concept, principle and method also focus on the digital signal processing algorithm implementation and the specific application. The MATLAB software is introduced in the course of digital signal processing, and is using for the spectrum analysis of speech signal, all kinds of digital filter design and digital filter, etc. By learning of this course, students can understand the principle of digital signal processing algorithm, and get exercise on thinking after familiar with the specific application, and also can cultivate and enhance the ability to analyze solve the problem