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Electronics and communication materials abroad Series: signal and system (2)(Chinese Edition) (2013)
~EN PB NWISBN: 9787121194276 bzw. 7121194279, vermutlich in Englisch, 2. Ausgabe, Taschenbuch, neu.
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Von Händler/Antiquariat, BookerStudy.
paperback. New. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Paperback. Pub Date: 2013 Pages: 624 Language: Chinese in Publisher: Electronic Industry Press foreign electronic communications textbook series: signal system (2) discusses the basic theory of signals and systems analysis. fundamental analysis method and its application. The book is divided into 11 chapters. and focuses on the basic concepts of the basic theory of linear systems. signals and systems. linear time-invariant systems. continuous and discrete signals Fourier Fourier transform and time-domain and frequency-domain Method for analysis of the system. and other content. Foreign electronic communications textbook series: signal and system (2nd edition) of using a large number of instances in filtering. sampling. communication. and feedback systems. parallel discussion of continuous systems. discrete systems. system of time-domain and frequency-domain system methods of analysis. allowing the reader to a thorough understanding of the methods of analysis of the various signal systems and compare their similarities and differences. Contents: Chapter 1 Signals and Systems 1.0 Introduction 1.1 The continuous-time and discrete-time signal 1.1.1 Examples mathematical representation the 1.1.2 signal energy and power 1.2 argument transform variable transformation example 1.2.1 1.2.2 cycle signal 1.2. 3 Even the cyclical nature of the signal with odd signal 1.3 index signal with a sinusoidal signal 1.3.1 continuous time complex exponential signal with a sinusoidal signal 1.3.2 discrete time complex exponential signal with a sinusoidal signal 1.3.3 discrete time complex exponential sequence 1.4 unit impulse 1.4.1 Discrete-Time unit pulse and units of unit step function step sequence 1.4.2 Continuous time unit step and unit impulse function the 1.5 continuous time and discrete-time systems 1.5.1 Examples of simple systems 1.5.2 system interconnection Basic 1.6 system nature 1.6.1 memory system with no memory system 1.6.2 reversible and reversible systems 1.6.3 causality 1.6.4 Stability 1.6.5 invariance 1.6.6 Linear 1.7 Summary Exercises Chapter 2 Linear varying systems 2.0 Introduction 2.1 The discrete-time linear time-invariant systems: convolution and 2.1.1 pulses represent discrete-time signal 2.1.2 discrete-time linear time-invariant system unit impulse response and convolution represents 2.2 continuous timeline sexual time-invariant systems: convolution integral 2.2.1 Impulse said the continuous time signal 2.2.2 continuous time linear time-invariant system unit impulse response and convolution integral representation of the nature of the of 2.3 linear time-invariant system 2.3 .1 commutative properties 2.3.2 distributive law nature 2.3.3 associative law of nature 2.3.4 unchanged the reversibility 2.3.6 Linear System 2.3.5 Linear time-invariant system memory and non-memory linear not 2.3.8 linear time-invariant system stability varying systems of causality 2.3.7 linear time-invariant system unit step response 2.4 differential and difference equations described causal linear time-invariant systems 2.4.1 line sexual constant coefficient differential equations 2.4.2 Linear constant coefficient differential equation 2.4.3 using differential and difference equations to describe the first-order system block diagram 2.5 singular function 2.5.1 as idealized short pulse units Impulse 2.5.2 by volume Fourier series representation of product definition of the unit impulse 2.5.3 Unit Impulse even other singularity functions 2.6 Summary Exercises Chapter 3 cycle signal 3.0 Introduction 3.1 Historical Review 3.2 linear time-invariant systems to complex exponential signal response 3.3 continuous time periodic signals. Fourier series representation of determining 3.4 3.3.2 3.3.1 into a harmonic relationship linear combination of complex exponential signal continuous-time periodic signals. Fourier series representation of the convergence of the Fourier series 3.5 3.5.1 the linear nature of the continuous-time Fourier series nature when shifting nature 3.5.3 3.5.2 3.5.5 multiplying the scale transform inversion 3.5.4 Time Domain 3.5.6 conjugate and conjugate symmetric 3.5.7 continuous-time periodic signal Paz Preval Theorem 3.5.8 Continuous time Fourier series character list 3.5.9 example of 3.6 discrete time periodic signal Fourier series representation of the complex exponential signal line 3.6.1 into a harmonic relationship periodic signal of sexual combinations 3.6.2 Fourier series representation of the determination of 3.7 nature of discrete-time Fourier series differential multiplied 3.7.2 once 3.7.1 3.7.3 discrete-time periodic signal Paz Val example Theorem 3.7.4 3.8 Fourier series with a linear time-invariant systems 3.9 filter 3.9.1 Frequency shaping filter 3.9.2 frequency selectivity filter 3.10 differential equations describe the continuous-time filter example 3.10.1 simple RC low-pass filter Examples of discrete-time filter 3.10.2 simple RC high-pass filter described by differential equations 3.11 3.11.1 3.11.2 non-recursive discrete-time filter of the first-order recursive discrete-time filter 3.12 Summary Exercises Chapter 4 consecutive time Fourier transform 4.0 Introduction 4.1 non-representation of the periodic signal: continuous-time Fourier transform 4.1.1 Export 4.1.2 Fourier transform of the Fourier transform of a periodic signal convergence 4.1.3 Continuous time Fourier transform. for example 4.2 periodic signal Fourier Transform 4.3 continuous-time nature of the Fourier transform 4.3.1 linear nature 4.3.2 4.3.3 conjugate conjugate symmetry 4.3.4 4.3.5 Time and frequency of the differential and integral scale shifting nature Transform 4.3 .6 duality Pass Val Theorem 4.4 Convolution nature 4.3.7 4.4.1 For example of 4.5 multiplied nature 4.5.1 frequency selective filter with variable center frequency 4.6 Fourier Transform Properties and Basic Fourier transform on the list 4.7 system characterized by linear constant coefficient differential equations 4.8 Summary Exercises Chapter 5 discrete-time Fourier transform 5.0 Introduction 5.1 non-representation of the periodic signal: discrete-time Fourier transform 5.1.1 discrete-time Fourier transform export 5.1 .2 discrete-time Fourier transform example 5.1.3 cyclical convergence problem of the discrete-time Fourier transform 5.2 cycle signal Fourier Transform 5.3 Discrete Fourier transform nature 5.3.1 Discrete-time Fourier transform 5.3.2 The linear nature of 5.3.3 when the shift with the nature of the frequency shift the conjugate conjugate symmetry 5.3.5 differential and cumulative 5.3.6 time reversal 5.3.7 when domain extension 5.3.8 Frequency Domain Differential 5.3 5.3.4. Paz Val Theorem 5.4 Convolution Properties 5.4.1 Examples 5.5 multiplied 5.6 Fourier transform the nature of nature and the Fourier transform of the list of 5.7 pairs duality 5.7.1 discrete-time Fourier series Duality 5.7.2 the time domain and frequency domain characteristics of linear constant coefficient differential equation representation system in Duality 5.8 5.9 Summary Exercises Chapter 6 signal system between the discrete-time Fourier transform and continuous-time Fourier series 6.0 Introduction 6.1 Fu modulus and phase of the Fourier transform modulus and phase of the frequency response of 6.2 linear time-invariant systems 6.2.1 Linear and nonlinear phase 6.2.2 Group Delay 6.2.3 logarithm of modulus and phase diagram 6.3 ideal frequency time domain characteristics of the selectivity filter 6.4 time domain and frequency domain characteristics of the non-ideal filter rational discussion 6.5 first-order and second-order continuous-time systems 6.5.1 an order continuous time systems 6.5.2-order continuous-time systems 6.5.3 type frequency response Bode plot of 6.6 first-order and second-order discrete-time system 6.6.1 first-order discrete-time system 6.6.2 second-order discrete-time system 6.7 system time domain analysis and frequency domain analysis of example 6.7.1 automobile shock absorber system 6.8 Summary Exercises Chapter 7 sampling analysis 6.7.2 Discrete-time non-recursive filter example 7.0 Introduction 7.1 continuous time signal: Sampling Theorem 7.1.1 Impulse string sampling 7.1.2 zero-order hold sampling 7.2 Using interpolation signal samples The aliasing phenomenon 7.4 continuous time signal discrete-time effect of under-sampled by the sample reconstruction signal 7.3: processing 7.4.1 digital differentiator 7.4.2 half sampling interval delay of 7.5 discrete time signal sampling 7.5.1 burst sampling 7.5.2 discrete 7.6 Summary Exercises time decimation and interpolation Chapter 8 Communications Systems 8.0 Introduction 8.1 complex exponential and sinusoidal amplitude modulation 8.1.1 complex exponential carrier amplitude modulation 8.1.2 sinusoidal carrier amplitude modulation 8.2 sine amplitude modulation demodulation 8.2.1 sync demodulating 8.2.2 Non-synchronous demodulation 8.3 8.5 burst carrier amplitude modulation 8.5.1 burst carrier frequency division multiplexing 8.4 SSB sinusoidal amplitude modulation modulation 8.5.2 division multiplexed 8.6 pulse amplitude modulation 8.6.1 pulse amplitude modulated signal 8.6.2 pulse amplitude modulation system. inter-code interference the 8.6.3 digital pulse amplitude modulation and pulse code modulation 8.7 sinusoidal frequency modulation 8.7.1 narrowband frequency modulation 8.7.2 wideband frequency modulation 8.7. 8.8 discrete time 3 cycle square wave modulation signal modulation 8.8.1 Discrete time sinusoidal amplitude modulation 8.8.2 Discrete time modulation to convert 8.9 Summary Exercises Chapter 9 Laplace Transform 9.0 Introduction 9.1 Laplace Transform 9.2 Laplace transform the nature of the domain of convergence 9.3 inverse Laplace transform 9.4 Fourier transform geometric evaluated by zero - pole Figure 9.4.1 a first-order system 9.4.2 Second Order System 9.4.3 all-pass system 9.5 Laplace Transform 9.5.1 the linear nature of time-shifting nature 9.5.2 9.5.3 s domain translation time domain scale transformation 9.5.4 9.5.5 9.5.6 Convolution Properties conjugate 9.5.7 Time Domain Differential 9.5.8 s domain differential 9.5. 9:00 domain integral initial value theorem 9.5.10 and Theorem 9.5.11 the nature of the final value of a list of 9.6 commonly used Laplace transform unchanged system 9.7.1 9.7 Laplace transform analysis and characterization of linear causality 9.7. Stability 9.7.3 by linear constant coefficient differential equation characterization of linear time-invariant system 9.7.4 System Features system function example 9.7.5 Butterworth algebraic properties of the the filter 9.8 system function block diagram indicates 9.8 .1 linear time-invariant systems interconnected system function 9.8.2 described by differential equations and rational system function causal linear time-invariant system block diagram 9.9 unilateral Laplace transform 9.9.1 unilateral La Plata Sri Lanka transform example 9.9.2 unilateral 9.9.3 using unilateral Laplace transform to solve differential equations 10.3 z 9.10 Summary Exercises Chapter 10 10.0 Introduction 10.2 z 10.1 z transform transform domain of convergence of the z-transform inverse Laplace transform nature 10.4.1 an order system 10.4.2 Second Order System 10.5 z transform the nature of to transform 10.4 the use of zero - pole diagram to the Fourier transform geometric evaluation 10.5.1 when the shifting nature of the linear nature of 10.5.2 10.5.3 z domain scale transformation 10.5.4 time reversal 10.5.5 time extended 10.5.6 10.5.7 Convolution Properties conjugate 10.5.8 z domain differential of 10.7 using 10.5.9 initial value theorem 10.5.10 nature Summary 10.6 several commonly used z-transform z transform analysis and characterization of linear time-invariant systems 10.7.1 causal stability 10.7.3 10.7.2 by linear constant coefficient difference ... Satisfaction guaranteed,or money back.
Von Händler/Antiquariat, BookerStudy.
paperback. New. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Paperback. Pub Date: 2013 Pages: 624 Language: Chinese in Publisher: Electronic Industry Press foreign electronic communications textbook series: signal system (2) discusses the basic theory of signals and systems analysis. fundamental analysis method and its application. The book is divided into 11 chapters. and focuses on the basic concepts of the basic theory of linear systems. signals and systems. linear time-invariant systems. continuous and discrete signals Fourier Fourier transform and time-domain and frequency-domain Method for analysis of the system. and other content. Foreign electronic communications textbook series: signal and system (2nd edition) of using a large number of instances in filtering. sampling. communication. and feedback systems. parallel discussion of continuous systems. discrete systems. system of time-domain and frequency-domain system methods of analysis. allowing the reader to a thorough understanding of the methods of analysis of the various signal systems and compare their similarities and differences. Contents: Chapter 1 Signals and Systems 1.0 Introduction 1.1 The continuous-time and discrete-time signal 1.1.1 Examples mathematical representation the 1.1.2 signal energy and power 1.2 argument transform variable transformation example 1.2.1 1.2.2 cycle signal 1.2. 3 Even the cyclical nature of the signal with odd signal 1.3 index signal with a sinusoidal signal 1.3.1 continuous time complex exponential signal with a sinusoidal signal 1.3.2 discrete time complex exponential signal with a sinusoidal signal 1.3.3 discrete time complex exponential sequence 1.4 unit impulse 1.4.1 Discrete-Time unit pulse and units of unit step function step sequence 1.4.2 Continuous time unit step and unit impulse function the 1.5 continuous time and discrete-time systems 1.5.1 Examples of simple systems 1.5.2 system interconnection Basic 1.6 system nature 1.6.1 memory system with no memory system 1.6.2 reversible and reversible systems 1.6.3 causality 1.6.4 Stability 1.6.5 invariance 1.6.6 Linear 1.7 Summary Exercises Chapter 2 Linear varying systems 2.0 Introduction 2.1 The discrete-time linear time-invariant systems: convolution and 2.1.1 pulses represent discrete-time signal 2.1.2 discrete-time linear time-invariant system unit impulse response and convolution represents 2.2 continuous timeline sexual time-invariant systems: convolution integral 2.2.1 Impulse said the continuous time signal 2.2.2 continuous time linear time-invariant system unit impulse response and convolution integral representation of the nature of the of 2.3 linear time-invariant system 2.3 .1 commutative properties 2.3.2 distributive law nature 2.3.3 associative law of nature 2.3.4 unchanged the reversibility 2.3.6 Linear System 2.3.5 Linear time-invariant system memory and non-memory linear not 2.3.8 linear time-invariant system stability varying systems of causality 2.3.7 linear time-invariant system unit step response 2.4 differential and difference equations described causal linear time-invariant systems 2.4.1 line sexual constant coefficient differential equations 2.4.2 Linear constant coefficient differential equation 2.4.3 using differential and difference equations to describe the first-order system block diagram 2.5 singular function 2.5.1 as idealized short pulse units Impulse 2.5.2 by volume Fourier series representation of product definition of the unit impulse 2.5.3 Unit Impulse even other singularity functions 2.6 Summary Exercises Chapter 3 cycle signal 3.0 Introduction 3.1 Historical Review 3.2 linear time-invariant systems to complex exponential signal response 3.3 continuous time periodic signals. Fourier series representation of determining 3.4 3.3.2 3.3.1 into a harmonic relationship linear combination of complex exponential signal continuous-time periodic signals. Fourier series representation of the convergence of the Fourier series 3.5 3.5.1 the linear nature of the continuous-time Fourier series nature when shifting nature 3.5.3 3.5.2 3.5.5 multiplying the scale transform inversion 3.5.4 Time Domain 3.5.6 conjugate and conjugate symmetric 3.5.7 continuous-time periodic signal Paz Preval Theorem 3.5.8 Continuous time Fourier series character list 3.5.9 example of 3.6 discrete time periodic signal Fourier series representation of the complex exponential signal line 3.6.1 into a harmonic relationship periodic signal of sexual combinations 3.6.2 Fourier series representation of the determination of 3.7 nature of discrete-time Fourier series differential multiplied 3.7.2 once 3.7.1 3.7.3 discrete-time periodic signal Paz Val example Theorem 3.7.4 3.8 Fourier series with a linear time-invariant systems 3.9 filter 3.9.1 Frequency shaping filter 3.9.2 frequency selectivity filter 3.10 differential equations describe the continuous-time filter example 3.10.1 simple RC low-pass filter Examples of discrete-time filter 3.10.2 simple RC high-pass filter described by differential equations 3.11 3.11.1 3.11.2 non-recursive discrete-time filter of the first-order recursive discrete-time filter 3.12 Summary Exercises Chapter 4 consecutive time Fourier transform 4.0 Introduction 4.1 non-representation of the periodic signal: continuous-time Fourier transform 4.1.1 Export 4.1.2 Fourier transform of the Fourier transform of a periodic signal convergence 4.1.3 Continuous time Fourier transform. for example 4.2 periodic signal Fourier Transform 4.3 continuous-time nature of the Fourier transform 4.3.1 linear nature 4.3.2 4.3.3 conjugate conjugate symmetry 4.3.4 4.3.5 Time and frequency of the differential and integral scale shifting nature Transform 4.3 .6 duality Pass Val Theorem 4.4 Convolution nature 4.3.7 4.4.1 For example of 4.5 multiplied nature 4.5.1 frequency selective filter with variable center frequency 4.6 Fourier Transform Properties and Basic Fourier transform on the list 4.7 system characterized by linear constant coefficient differential equations 4.8 Summary Exercises Chapter 5 discrete-time Fourier transform 5.0 Introduction 5.1 non-representation of the periodic signal: discrete-time Fourier transform 5.1.1 discrete-time Fourier transform export 5.1 .2 discrete-time Fourier transform example 5.1.3 cyclical convergence problem of the discrete-time Fourier transform 5.2 cycle signal Fourier Transform 5.3 Discrete Fourier transform nature 5.3.1 Discrete-time Fourier transform 5.3.2 The linear nature of 5.3.3 when the shift with the nature of the frequency shift the conjugate conjugate symmetry 5.3.5 differential and cumulative 5.3.6 time reversal 5.3.7 when domain extension 5.3.8 Frequency Domain Differential 5.3 5.3.4. Paz Val Theorem 5.4 Convolution Properties 5.4.1 Examples 5.5 multiplied 5.6 Fourier transform the nature of nature and the Fourier transform of the list of 5.7 pairs duality 5.7.1 discrete-time Fourier series Duality 5.7.2 the time domain and frequency domain characteristics of linear constant coefficient differential equation representation system in Duality 5.8 5.9 Summary Exercises Chapter 6 signal system between the discrete-time Fourier transform and continuous-time Fourier series 6.0 Introduction 6.1 Fu modulus and phase of the Fourier transform modulus and phase of the frequency response of 6.2 linear time-invariant systems 6.2.1 Linear and nonlinear phase 6.2.2 Group Delay 6.2.3 logarithm of modulus and phase diagram 6.3 ideal frequency time domain characteristics of the selectivity filter 6.4 time domain and frequency domain characteristics of the non-ideal filter rational discussion 6.5 first-order and second-order continuous-time systems 6.5.1 an order continuous time systems 6.5.2-order continuous-time systems 6.5.3 type frequency response Bode plot of 6.6 first-order and second-order discrete-time system 6.6.1 first-order discrete-time system 6.6.2 second-order discrete-time system 6.7 system time domain analysis and frequency domain analysis of example 6.7.1 automobile shock absorber system 6.8 Summary Exercises Chapter 7 sampling analysis 6.7.2 Discrete-time non-recursive filter example 7.0 Introduction 7.1 continuous time signal: Sampling Theorem 7.1.1 Impulse string sampling 7.1.2 zero-order hold sampling 7.2 Using interpolation signal samples The aliasing phenomenon 7.4 continuous time signal discrete-time effect of under-sampled by the sample reconstruction signal 7.3: processing 7.4.1 digital differentiator 7.4.2 half sampling interval delay of 7.5 discrete time signal sampling 7.5.1 burst sampling 7.5.2 discrete 7.6 Summary Exercises time decimation and interpolation Chapter 8 Communications Systems 8.0 Introduction 8.1 complex exponential and sinusoidal amplitude modulation 8.1.1 complex exponential carrier amplitude modulation 8.1.2 sinusoidal carrier amplitude modulation 8.2 sine amplitude modulation demodulation 8.2.1 sync demodulating 8.2.2 Non-synchronous demodulation 8.3 8.5 burst carrier amplitude modulation 8.5.1 burst carrier frequency division multiplexing 8.4 SSB sinusoidal amplitude modulation modulation 8.5.2 division multiplexed 8.6 pulse amplitude modulation 8.6.1 pulse amplitude modulated signal 8.6.2 pulse amplitude modulation system. inter-code interference the 8.6.3 digital pulse amplitude modulation and pulse code modulation 8.7 sinusoidal frequency modulation 8.7.1 narrowband frequency modulation 8.7.2 wideband frequency modulation 8.7. 8.8 discrete time 3 cycle square wave modulation signal modulation 8.8.1 Discrete time sinusoidal amplitude modulation 8.8.2 Discrete time modulation to convert 8.9 Summary Exercises Chapter 9 Laplace Transform 9.0 Introduction 9.1 Laplace Transform 9.2 Laplace transform the nature of the domain of convergence 9.3 inverse Laplace transform 9.4 Fourier transform geometric evaluated by zero - pole Figure 9.4.1 a first-order system 9.4.2 Second Order System 9.4.3 all-pass system 9.5 Laplace Transform 9.5.1 the linear nature of time-shifting nature 9.5.2 9.5.3 s domain translation time domain scale transformation 9.5.4 9.5.5 9.5.6 Convolution Properties conjugate 9.5.7 Time Domain Differential 9.5.8 s domain differential 9.5. 9:00 domain integral initial value theorem 9.5.10 and Theorem 9.5.11 the nature of the final value of a list of 9.6 commonly used Laplace transform unchanged system 9.7.1 9.7 Laplace transform analysis and characterization of linear causality 9.7. Stability 9.7.3 by linear constant coefficient differential equation characterization of linear time-invariant system 9.7.4 System Features system function example 9.7.5 Butterworth algebraic properties of the the filter 9.8 system function block diagram indicates 9.8 .1 linear time-invariant systems interconnected system function 9.8.2 described by differential equations and rational system function causal linear time-invariant system block diagram 9.9 unilateral Laplace transform 9.9.1 unilateral La Plata Sri Lanka transform example 9.9.2 unilateral 9.9.3 using unilateral Laplace transform to solve differential equations 10.3 z 9.10 Summary Exercises Chapter 10 10.0 Introduction 10.2 z 10.1 z transform transform domain of convergence of the z-transform inverse Laplace transform nature 10.4.1 an order system 10.4.2 Second Order System 10.5 z transform the nature of to transform 10.4 the use of zero - pole diagram to the Fourier transform geometric evaluation 10.5.1 when the shifting nature of the linear nature of 10.5.2 10.5.3 z domain scale transformation 10.5.4 time reversal 10.5.5 time extended 10.5.6 10.5.7 Convolution Properties conjugate 10.5.8 z domain differential of 10.7 using 10.5.9 initial value theorem 10.5.10 nature Summary 10.6 several commonly used z-transform z transform analysis and characterization of linear time-invariant systems 10.7.1 causal stability 10.7.3 10.7.2 by linear constant coefficient difference ... 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ISBN (andere Schreibweisen): 7-121-19427-9, 978-7-121-19427-6
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ISBN (andere Schreibweisen): 7-121-19427-9, 978-7-121-19427-6
Funktionaltransformationen 2.A. (Hardback)
Zuerst gefunden: 07.06.2019 21:25:06Zuletzt gefunden: 07.06.2019 21:25:06
Kleinster Preis: € 22,49 (vom 07.06.2019 21:25:06)
Höchster Preis: € 87,21 (vom 07.06.2019 21:25:06)
Fundstellen insgesamt: 2
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