生物信息学的概念 生物分子信息 生物信息学的发展历史 生物信息学的当前任务 生物信息学所用的方法和技术 生物信息学的主要研究内容

《微观经济学》课程PPT教学课件：第十章 博弈论与信息不对称

4.1 金属-氧化物-半导体（MOS）场效应三极管 4.2 MOSFET基本共源极放大电路 4.3 图解分析法 4.4 小信号模型分析法 4.5 共漏极和共栅极放大电路 4.6 集成电路单级MOSFET放大电路 4.7 多级放大电路 4.8 结型场效应管（JFET）及其放大电路 *4.9 砷化镓金属-半导体场效应管 4.10 各种FET的特性及使用注意事项

7.1 半导体的特性及类型 7.2 半导体二极管 7.3 二极管整流与稳压电路 7.4 晶闸管及应用 7.5 二极管整流与稳压应用实验

◆Signal processing is benefited from a close coupling between theory, application, and technologies for implementing signal processing systems. ◆Signal processing deals with the representation, transformation, and manipulation of signals and the information they contain

◆3.0 Introduction ◆3.1 z-Transform ◆3.2 Properties of the Region of Convergence for the z-transform ◆3.3 The inverse z-Transform ◆3.4 z-Transform Properties ◆3.5 z-Transform and LTI Systems ◆3.6 the Unilateral z-Transform

◆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

9.0 Introduction 9.1 Direct Computation Of The Discrete Fourier Transform 9.2 decimation-in-time FFT Algorithms 9.3 decimation-in-frequency FFT Algorithms 9.4 practical considerations

◆7.0 Introduction ◆7.1 Filter Specifications ◆7.2 Design of Discrete-Time IIR Filters From Continuous-Time Filters ◆7.3 Discrete-Time Butterworth, Chebyshev and Elliptic Filters ◆7.4 Frequency Transformations of Lowpass IIR Filters ◆7.5 Design of FIR Filters by Windowing ◆7.6 Examples of FIR Filters Design by the Kaiser Window Method

山东大学：《生物医学信号处理 Biomedical Signal Processing》精品课程教学资源（试卷与答案）A卷-2012_答案