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•拉氏变换的定义——从傅立叶变换到拉氏变换 •拉氏变换与傅氏变换的关系 •拉氏变换的性质,收敛域 •卷积定理(S域) •系统函数和单位冲激响应
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本章将学习建立信号与系统的数学描 述与数学表示,借以研究信号与系统分 析中的基本概念及基本性质,为以后各 章的学习打下基础
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基本思路:对LTI系统,由于其具有叠加性,齐 次性,时不变性,故而,如能实现将任意信号在时域分解为 简单单元信号的线性组合,那么只要得到LTI系统对基本 信号的响应,就可以利用系统的线性特性,将系统的输 出响应表示成系统对基本信号的响应的线性组合
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3.1 Introduction 3.2 Typical test signals for time response of control systems 3.3 First –Order Systems 3.4 Performance of a Second-Order System 3.5 Concept of Stability 3.6 The Relative Stability of Feedback Control Systems
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1. Automatic Control System 1.1 Introduction 1.2 An example 1.3 Types of control system 2. Mathematical Foundation 2.1 The transfer function concept 2.2 The block diagram. 2.3 Signal flow graphs 2.4 Construction of signal flow graphs 2.5 General input-output gain transfer 3. Time-Domain Analysis Of Control System 3.1 Introduction 3.2 Typical test signals for time response of control systems 3.3 First –Order Systems 3.4 Performance of a Second-Order System 3.5 Concept of Stability 4. The Root Locus Techniques 4.1 Introduction 4.2 Root Locus Concept 4.3 The Root Locus Construction Procedure for General System 4.4 The zero-angle (negative) root locus 5. Frequency-Domain Analysis of Control System 5.1 Frequency Response 5.2 Bode Diagrams 5.3 Bode Stability Criteria 5.4 The Nyquist Stability Criterion 6. Control system design 6.1 Introduction 6.2 Cascade Lead Compensation 6.3 Properties of the Cascade Lead Compensator 6.4 Parameter Design by the Root Locus Method
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The dtft provides a frequency-domain representation of discrete-time signals and lti discrete-time systems Because of the convergence condition, in many cases. the dtft of a sequence may not exist as a result. it is not possible to make use of such frequency-domain characterization in these cases Copyright C 2001, S K. Mitra
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Z-Transform The DTFT provides a frequency-domain representation of discrete-time signals and LTI discrete-time systems Because of the convergence condition, in many cases. the DTFT of a sequence may not exist As a result, it is not possible to make use of such frequency-domain characterization in these cases
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◆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
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1. Studying the Nervous Systems of Humans and Other Animals 1 UNIT I NEURAL SIGNALING 2. Electrical Signals of Nerve Cells 31 3. Voltage-Dependent Membrane Permeability 47 4. Channels and Transporters 69 5. Synaptic Transmission 93 6. Neurotransmitters, Receptors, and Their Effects 129 7. Molecular Signaling within Neurons 165 UNIT II SENSATION AND SENSORY PROCESSING 8. The Somatic Sensory System 189 9. Pain 209 10. Vision: The Eye 229 11. Central Visual Pathways 259 12. The Auditory System 283 13. The Vestibular System 315 14. The Chemical Senses 337 UNIT III MOVEMENT AND ITS CENTRAL CONTROL 15. Lower Motor Neuron Circuits and Motor Control 371 16. Upper Motor Neuron Control of the Brainstem and Spinal Cord 393 17. Modulation of Movement by the Basal Ganglia 417 18. Modulation of Movement by the Cerebellum 435 19. Eye Movements and Sensory Motor Integration 453 20. The Visceral Motor System 469 UNIT IV THE CHANGING BRAIN 21. Early Brain Development 501
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11.1 Cable Transmission of Analog Voltage and Current Signals 11.2 Cable Transmission of Digital Data 11.3 Fiber-Optic Data Transmission 11.4 Radio Telemetry 11.5 Pneumatic Transmission 11.6 Synchro Position Repeater Systems 11.7 Slip Rings and Rotary Transformers 11.8 Instrument Connectivity 11.9 Data Storage with Delayed Playback (an Alternative to Data Transmission)
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