为什么要开发利用生物质能？ 如何开发利用生物质能？ 国外生物质能开发路径 我国面临的问题 生物质资源来源 生物质原料处理 生物质直接燃烧 生物质热化学转化 生物质生物化学转化 生物质综合利用 生物质气化研究 城市垃圾洁净气化技术及应用系统研究

§2-1 医学信号的类型 §2-2 生物电信号的产生 §2-3 生物电信号在生物体内的传导 §2-4 生物电信号的频、幅特性和内、外源性干扰 §2-5 生物电信号对放大器的要求

§2-1 医学信号的类型 §2-2 生物电信号的产生 §2-3 生物电信号在生物体内的传导 §2-4 生物电信号的频、幅特性和内、外源性干扰 §2-5 生物电信号对放大器的要求

第一节保护生物学的定义和研究内容 一、保护生物学的定义 保护生物学:一门价值取向与处理危机的科学保护生物学与生态学的关系就像是急诊与保健,或战争与政治之间的关系。研究生物多样保护的科学即研究从保护生物物种及其生存环境着手来保护生物多样性的科学

实验一 离散时间信号与系统分析 实验二 离散时间信号与系统的 Z 变换分析 实验三 IIR 滤波器的设计与信号滤波 实验四 用窗函数法设计 FIR 数字滤波器 实验五 用 FFT 作谱分析 实验六 综合实验 附录： 各实验参考程序

◆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

◆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

◆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

◆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

◆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)