§5.1 Digital Processing of Continuous-Time Signals §5.2 Sampling of Continuous-time Signals §5.3 Effect of Sampling in the Frequency Domain §5.4 Recovery of the Analog Signal §5.6 Sampling of Bandpass Signals §5.7 Analog Lowpass Filter Specifications §5.8 Analog Lowpass Filter Design

◆8.0 Introduction ◆8.1 Representation of Periodic Sequence: the Discrete Fourier Series ◆8.2 Properties of the Discrete Fourier Series ◆8.3 The Fourier Transform of Periodic Signal ◆8.4 Sampling the Fourier Transform ◆8.5 Fourier Representation of Finite-Duration Sequence: the Discrete Fourier Transform ◆8.6 Properties of the Discrete Fourier Transform ◆8.7 Linear Convolution using the Discrete Fourier Transform ◆8.8 the discrete cosine transform (DCT)

 S1. Filters: devices of signal processing  Classic Filter  Optimal Filter  Adaptive Filter  S2. Adaptive filtering applications  S3. Stochastic processes  Partial characteristic: Autocorrelation Matrix (ACM)  PSD  Linear parametric model  S4. Mean Square Information Space

1、学什么（What）: 信号(Signal ) 系统(System) 信号处理(Signal Processing) 它们之间的相互关系(their interconnections)

The purpose of a receiver is to select a desired group of frequencies from one transmitter, get rid of all unwanted signals and noise, and then demodulate the signal to obtain the modulating infomation. The better the receiver does its job, the closer the demodulated sigmal will resemble the original signal from the transmitter. Regardless of the type of demodula

◆2.1 Discrete-Time Signals: Sequences ◆High and Low Frequencies in Discrete-time signal ◆2.2 Discrete-Time Systems ◆Memoryless (memory); Linear; Time-Invariant; Causality; Stability(BIBO) ◆2.3 Linear Time-Invariant (LTI) Systems ◆LTI Systems:Convolution( 系统适用吗?) ◆2.4 Properties of LTI Systems ◆Stability and Causality of LTI systems;FIR and IIR systems ◆2.5 Linear Constant-Coefficient Difference Equations ◆The output for a given input is not uniquely specified. Auxiliary conditions are required; initial-rest conditions ◆2.6 Frequency-Domain Representation of Discrete￾Time Signals and systems ◆ Eigenfunction and Eigenvalue for LTI systems ◆2.7 Representation of Sequences by Fourier Transforms ◆2.8 Symmetry Properties of the Fourier Transform ◆2.9 Fourier Transform Theorems ◆2.10 Discrete-Time Random Signals

The TA8025P TA8025F is an IC designed for making the esigneo or ma output signal from electromagnetic pick up sensor and etc.... waveform-shaping. The Vth of input has hysteresis that is TA8025P division value between peak voltage of input signal and. Features Input frequency

Part 1: Singular Value Decomposition (SVD) and Applications Part 2: Principle Component Analysis (PCA) and Applications Part 3: Non-Negative Matrix Factorization (NNMF) and Applications

西安电子科技大学：《Digital Signal Processing》课程教学资源（课件讲稿）Chapter 1 Signals and Signal Processing（主讲：李勇朝）

西安电子科技大学：《Digital Signal Processing》课程教学资源（课件讲稿）Chapter 4A Digital Signal Processing of Continuous Signals Part A Sampling of Continuous-Time Signals