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　　Digital signal processing (DSP) is the use of digital processing, such as by computers or more specialized digital signal processors, to perform a wide variety of signal processing operations. DSP applications include audio and speech processing, sonar, radar and other sensor array processing, spectral density estimation, statistical signal processing, digital image processing, signal processing for telecommunications, control systems, biomedical engineering, seismology, among others. This course aimed at helping students grasp basic principles, fundamental method of DSP. In order to realize DSP, learners are supposed to master two general tools in this course: Fast Fourier Transform and digital filter. The content of this course contains: Discrete-Time Signals and Systems, Transform-Domain Representation of Discrete-Time Signals, Frequency-domain Representation of LTI Discrete-Time Systems, Digital Processing of Continuous-Time Signals, Digital Filter Structures, and Digital Filter Design.Digital signal processing (DSP) is the use of digital processing, such as by computers or more specialized digital signal processors, to perform a wide variety of signal processing operations. DSP applications include audio and speech processing, sonar, radar and other sensor array processing, spectral density estimation, statistical signal processing, digital image processing, signal processing for telecommunications, control systems, biomedical engineering, seismology, among others. This course aimed at helping students grasp basic principles, fundamental method of DSP. In order to realize DSP, learners are supposed to master two general tools in this course: Fast Fourier Transform and digital filter. The content of this course contains: Discrete-Time Signals and Systems, Transform-Domain Representation of Discrete-Time Signals, Frequency-domain Representation of LTI Discrete-Time Systems, Digital Processing of Continuous-Time Signals, Digital Filter Structures, and Digital Filter Design.