◆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

◆5.0 Introduction ◆5.1 Frequency Response of LTI Systems ◆5.2 System Functions For Systems Characterized by Linear Constant-coefficient Difference equation ◆5.3 Frequency Response for Rational System Functions ◆5.4 Relationship Between Magnitude and Phase ◆5.5 All-Pass System ◆5.6 Minimum-Phase Systems ◆5.7 Linear Systems with Generalized Linear Phase

课程性质与任务 MATLAB语言及其应用是本专业的一门基础工具课。 MATLAB是 MathWorks公司开 发的一套高性能的数值计算和可视化的仿真软件,包括 MATLAB主程序、 SIMUL INK 动态系统仿真包和各种专业工具箱。它基于矩阵运算,集数值计算、图形显示、图 形界面设计等功能和模糊逻辑等30多个专业工具箱于一体,具有极强大的计算功能 和极高的编程效率,特别适合于科学计算、数值分析、系统仿真和信号处理等任 务,对后续专业课程的学习有重要影响

《社会实践》教学大纲 1 《劳动锻炼》教学大纲 4 《人体结构学》教学大纲 6 《高等数学（1）》教学大纲 27 《高等数学（2）》教学大纲 32 《生理学》教学大纲 37 《普通物理学（1）》教学大纲 48 《普通物理学（2）》教学大纲 54 《电工和电路分析》教学大纲 60 《模拟电子技术》教学大纲 66 《微机原理与接口技术》教学大纲 72 《数字电子技术》教学大纲 79 《信号处理与系统》教学大纲 85 《医学成像设备与技术》教学大纲 90 《医学仪器原理与结构》教学大纲 95 《医学仪器原理与结构》见习大纲 95 《医用传感器》教学大纲 100 《数字信号处理》教学大纲 107 《病理学》教学大纲 112 《线性代数》教学大纲 118 《工程数学》教学大纲 122 《影像诊断学》教学大纲 126 《影像诊断学》见习大纲 130 《概率统计及应用》教学大纲 132 《医学图像处理》教学大纲 136 《高级编程》教学大纲 142 《机械制图》教学大纲 148 《计算机网络技术》教学大纲 153 《激光医学》教学大纲 157 《放射与防护》教学大纲 162 《医学仪器分析与设计》教学大纲 170 《金属工艺实习》教学大纲 176 《单片机与接口技术》教学大纲 179 《数据库技术》教学大纲 185 《MATLAB 程序设计与应用》教学大纲 191 《专业英语》教学大纲 195 《电子综合实验与设计》教学大纲 199 《放射生物物理与材料工艺学》教学大纲 202 《医学仪器管理与维护》教学大纲 216 《医学仪器管理与维护》见习大纲 209 《医疗仪器营销》教学大纲 216 《多媒体技术》教学大纲 227

◆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)

◆7.0 Introduction ◆7.1 Design of Discrete-Time IIR Filters From Continuous-Time Filters ◆7.2 Design of FIR Filters by Windowing ◆7.3 Examples of FIR Filters Design by the Kaiser Window Method ◆7.4 Optimum Approximations of FIR Filters ◆7.5 Examples of FIR Equiripple Approximation ◆7.6 Comments on IIR and FIR Discrete-Time Filters

第一节 引言 第二节 二元假设检验 第三节 最佳检测准则及其判决规则 第四节 接收机工作特性曲线（ROC曲线） 第五节 二元复合假设检验 第六节 序列（序贯）检测 第七节 多元假设检验

6.0 Introduction 6.1 Block Diagram Representation of Linear Constant-Coefficient Difference Equations 6.2 Signal Flow Graph Representation of Linear Constant-Coefficient Difference Equations 6.3 Basic Structures for IIR Systems 6.4 Transposed(转置) Forms 6.5 Basic Network Structures for FIR Systems

2.0 Introduction 2.1 Discrete-Time Signals: Sequences 2.2 Discrete-Time Systems 2.3 Linear Time-Invariant (LTI) Systems 2.4 Properties of LTI Systems 2.5 Linear Constant-Coefficient Difference Equations 2.6 Frequency-Domain Representation of Discrete-Time Signals and 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 2.11 Summary

◆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)