1. Information Processing Definition of Information processing All operations exerted to the information itself for its better utilization Information processing is necessary because most of the information in its original form may not be good for use. Thus information processing is the basis of later operations Two categories of information processing: 1)Shallow Level of Information Processing 2)Deeper level of Information Processing

3-1 Measures of Random Syntactic Information Shannon Theory of Information Key point: 1. Information is something that can be used to remove uncertainty. 2. The amount of information can then be measured by the amount of uncertainty it removed. 3. In the cases of communications, only waveform is concerned while meaning and value are ignored. 4. Uncertainty and thus information are statistic in nature and statistical mathematics is enough

Problems to be concerned with 1. How should we define the concept of Information 2. What are the typical features of Information compared with matter and energy 3. What are the relationship and difference between Shannon Information and comprehensive Information 4. How to reasonably classify Information 5. How to properly represent Information

1.1 Information science Definition of information Science Information Science is a trans-disciplinary science with information as its object in study; the laws in information process as its content information methodology as its approach; and the strengthening human information functions particularly the intellectual ability, as its goal

4.1概述 4.2测量放大器的电路原理 4.3测量放大器的主要技术指标 4.4测量放大器集成芯片 4.5测量放大器的使用

一、物理表达式Tm=Crm2cos2 二、参数表达式T= 三、实用表达式Tm=2T

武警学院：《大学物理学》第九章 静电场中的导体和电介质 9.5 静电场的能量 能量密度 9－6 静电的应用 9－7 电场的边界条件 9－8 压电效应 铁电体 驻极体

Transfer Functions of Filters 10.1 Introduction 10.2 Ideal Filters 10.3 The Ideal Linear-Phase Low-Pass Filter Richard C. Dorf

9.1 Introduction Richard C. Dorf 9.2 Three-Phase Connections University of California, Davis 9.3 Wye Delta Transformations 9.1 Introduction Two very important two-ports are the T and II networks shown in Fig. 9.1. Because we encounter these two

8.1 Introduction 8.2 Properties of the z-Transform Linearity. Translation. Convolution. Multiplication by a\. Time Reversal Richard. Dorf 8.3 Unilateral z-Transform University of California, Davis