◆ Background ◆ Preliminary Concepts ◆ Sampling and the Fourier Transform of Sampled Functions ◆ The Discrete Fourier Transform of One Variable ◆ Extension to Functions of Two Variables ◆ Some Properties of the 2-D Discrete Fourier Transform ◆ The Basics of Filtering in the Frequency Domain ◆ Image Smoothing Using Frequency Domain Filters ◆ Image Sharpening Using Frequency Domain Filters ◆ Selective Filtering

马克思主义新闻观 新闻学理论学习什么内容 如何学习新闻学 新闻学是一门跨学科学科 主要分支 新闻学理论导论 新闻学与传播学的区别与联系 几个相关的概念 新闻学研究的特点与趋势 概念的借用 传播学 吸收的成果 新闻学对传播学和三论的借鉴 研究方法 三论

硅基MOS集成电路仍将是微电子技术的主流 微电子工业是国民经济信息化的基石 集成电路是微电子技术的核心， 如果以单位质量的“钢”对国民生产总值的贡献为1来计算，则小轿车为5，彩电为30，计算机100，集成电路是1000

◆ A Model of the Image Degradation/Restoration Process ◆ Noise Models ◆ Restoration in the Presence of Noise Only-Spatial Filtering ◆ Periodic Noise Reduction by Frequency Domain Filtering ◆ Linear, Position-Invariant Degradations ◆ Estimating the Degradation Function ◆ Inverse Filtering ◆ Minimum Mean Square Error (Wiener) Filtering ◆ Constrained Least Squares Filtering ◆ Geometric Mean Filter ◆ Image Reconstruction from Projections*

◆ Color Fundamentals ◆ Color Models ◆ Pseudocolor Image Processing ◆ Basics of Full-Color Image Processing ◆ Color Transformations ◆ Smoothing and Sharpening ◆ Image Segmentation Based on Color ◆ Noise in Color Images ◆ Color Image Compression

◆ Background ◆ Some Basic Intensity Transformation Functions ◆ Histogram Processing ◆ Fundamentals of Spatial Filtering ◆ Smoothing Spatial Filters ◆ Sharpening Spatial Filters ◆ Combining Spatial Enhancement Methods ◆ Using Fuzzy Techniques *

§2.1 Transmission line 传输线 §2.2 The Smith Chart 史密斯圆图 §2.4 Impedance Matching 阻抗匹配 §2.3 Microwave Network Analysis 微波网络分析

§4.1 Antenna system parameters 天线系统参数 §4.2 The Friis equation Friis 方程 §4.3 Antenna noise temperature 天线噪声温度 §4.4 Propagation 传播 §4.5 Fading 衰落

§5.1 Filter Design by the Insertion Loss Method §5.2 Filter Scaling and Transformation §5.3 Low-pass and high-pass using Transmission line stub §5.4 Stepped-Impedance low-pass Filters §5.5 Bandpass Filters using Transmission Line Response

周期序列的DFS及性质 离散傅里叶变换（DFT）及性质 DFT的快速算法（FFT） DFT/FFT的应用