Modulation theory /:
Green Engineering publishes original, high quality, peer-reviewed research papers and review articles dealing with environmentally safe engineering including their systems. The goal is to promote environmentally safe engineering by utilizing various modeling approaches, but especially transdisciplin...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Gistrup, Denmark :
River Publishers,
[2018]
|
| Schriftenreihe: | River Publishers series in communications.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | Green Engineering publishes original, high quality, peer-reviewed research papers and review articles dealing with environmentally safe engineering including their systems. The goal is to promote environmentally safe engineering by utilizing various modeling approaches, but especially transdisciplinary approach. |
| Beschreibung: | 1 online resource |
| Bibliographie: | Includes bibliographical references (pages 233-239) and index. |
| ISBN: | 9788793609358 8793609353 8770220786 9788770220781 9781003338864 1003338860 9781000794533 1000794539 9781000791419 1000791416 |
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| 100 | 1 | |a Alencar, Marcelo S., |d 1957- |e author. |1 https://id.oclc.org/worldcat/entity/E39PCjCrWVwXXTbfrMyyQ4kfVP |0 http://id.loc.gov/authorities/names/n2005043104 | |
| 245 | 1 | 0 | |a Modulation theory / |c Marcelo Sampaio de Alencar. |
| 264 | 1 | |a Gistrup, Denmark : |b River Publishers, |c [2018] | |
| 264 | 4 | |c ©2018 | |
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| 490 | 1 | |a River Publishers series in communications | |
| 520 | |a Green Engineering publishes original, high quality, peer-reviewed research papers and review articles dealing with environmentally safe engineering including their systems. The goal is to promote environmentally safe engineering by utilizing various modeling approaches, but especially transdisciplinary approach. | ||
| 588 | 0 | |a Online resource; title from PDF title page (EBSCO, viewed January 22, 2019) | |
| 505 | 0 | |a Front Cover; Half Title Page; RIVER PUBLISHERS SERIES IN COMMUNICATIONS; Title Page -- Modulation Theory; Copyright Page; Contents; Preface; List of Figures; Chapter 1 -- Theory of Signals and Linear Systems; 1.1 Introduction; 1.2 Signal Analysis; 1.2.1 Linearity; 1.2.2 The Convolution Theorem; 1.3 Some Important Functions; 1.3.1 The Constant Function; 1.3.2 The Sine and the Cosine Functions; 1.3.3 The Heaviside Step Function; 1.3.4 The Ramp Function; 1.3.5 The Gate Function; 1.3.6 Impulse Function or Dirac's Delta Function; 1.3.7 The Sampling Function; 1.3.8 Even and Odd Functions | |
| 505 | 8 | |a 1.3.9 Some Elementary Properties of Functions1.4 Basic Fourier Analysis; 1.4.1 The Trigonometric Fourier Series; 1.4.2 The Compact Fourier Series; 1.4.3 The Exponential Fourier Series; 1.5 Fourier Transform; 1.5.1 Bilateral Exponential Signal; 1.5.2 Transform of the Gate Function; 1.5.3 Fourier Transform of the Impulse Function; 1.5.4 Transform of the Constant Function; 1.5.5 Fourier Transform of the Sine and Cosine Functions; 1.5.6 Fourier Transform of the Complex Exponential; 1.5.7 Fourier Transform of a Periodic Function; 1.6 Some Properties of the Fourier Transform | |
| 505 | 8 | |a 1.6.1 Linearity of the Fourier Transform1.6.2 Scaling Property; 1.6.3 Symmetry of the Fourier Transform; 1.6.4 Time Domain Shift; 1.6.5 Frequency Domain Shift; 1.6.6 Differentiation in the Time Domain; 1.6.7 Integration in the Time Domain; 1.6.8 The Convolution Theorem in the Time Domain; 1.6.9 The Convolution Theorem in the Frequency Domain; 1.7 The Sampling Theorem; 1.8 Parseval's Theorem; 1.9 Average, Power, and Autocorrelation; 1.9.1 Time Autocorrelation of Signals; Chapter 2 -- Random Signals and Noise; 2.1 The Theory of Sets, Functions, and Measure; 2.1.1 Set Theory | |
| 505 | 8 | |a 2.1.2 Operations on Sets2.1.3 Families of Sets; 2.1.4 Indexing Sets; 2.1.5 Algebra of Sets; 2.1.6 Borel Algebra; 2.2 Probability Theory; 2.2.1 Axiomatic Approach to Probability; 2.2.2 Bayes' Rule; 2.3 Random Variables; 2.3.1 Mean Value of a Random Variable; 2.3.2 Moments of a Random Variable; 2.3.3 The Variance of a Random Variable; 2.3.4 The Characteristic Function of a Random Variable; 2.3.5 Some Important Random Variables; 2.3.6 Joint Random Variables; 2.4 Stochastic Processes; 2.4.1 The Autocorrelation Function; 2.4.2 Stationarity; 2.4.3 Wide Sense Stationarity; 2.4.4 Ergodic Signals | |
| 505 | 8 | |a 2.4.5 Properties of the Autocorrelation2.4.6 The Power Spectral Density; 2.4.7 Properties of the Power Spectral Density; 2.5 Linear Systems; 2.5.1 Expected Value of the Output Signal; 2.5.2 The Response of Linear Systems to Random Signals; 2.5.3 Phase Information; 2.6 Analysis of a Digital Signal; 2.6.1 Autocorrelation of a Digital Signal; 2.6.2 Power Spectral Density for the Digital Signal; 2.6.3 The Digital Signal Bandwidth; 2.7 Non-Linear Systems; 2.7.1 The Two-Level Quantizer; 2.7.2 Quantization Noise Spectrum for a Two-level Quantizer; 2.7.3 Response of a Squarer Circuit | |
| 545 | 0 | |a Marcelo Sampaio de Alencar | |
| 504 | |a Includes bibliographical references (pages 233-239) and index. | ||
| 650 | 0 | |a Modulators (Electronics) |0 http://id.loc.gov/authorities/subjects/sh85086469 | |
| 650 | 0 | |a Modulation theory. |0 http://id.loc.gov/authorities/subjects/sh85086468 | |
| 650 | 6 | |a Modulateurs (Électronique) | |
| 650 | 6 | |a Théorie de la modulation. | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING |x Mechanical. |2 bisacsh | |
| 650 | 7 | |a SCIENCE / Energy |2 bisacsh | |
| 650 | 7 | |a TECHNOLOGY / Electricity |2 bisacsh | |
| 650 | 7 | |a Modulation theory |2 fast | |
| 650 | 7 | |a Modulators (Electronics) |2 fast | |
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| author | Alencar, Marcelo S., 1957- |
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| contents | Front Cover; Half Title Page; RIVER PUBLISHERS SERIES IN COMMUNICATIONS; Title Page -- Modulation Theory; Copyright Page; Contents; Preface; List of Figures; Chapter 1 -- Theory of Signals and Linear Systems; 1.1 Introduction; 1.2 Signal Analysis; 1.2.1 Linearity; 1.2.2 The Convolution Theorem; 1.3 Some Important Functions; 1.3.1 The Constant Function; 1.3.2 The Sine and the Cosine Functions; 1.3.3 The Heaviside Step Function; 1.3.4 The Ramp Function; 1.3.5 The Gate Function; 1.3.6 Impulse Function or Dirac's Delta Function; 1.3.7 The Sampling Function; 1.3.8 Even and Odd Functions 1.3.9 Some Elementary Properties of Functions1.4 Basic Fourier Analysis; 1.4.1 The Trigonometric Fourier Series; 1.4.2 The Compact Fourier Series; 1.4.3 The Exponential Fourier Series; 1.5 Fourier Transform; 1.5.1 Bilateral Exponential Signal; 1.5.2 Transform of the Gate Function; 1.5.3 Fourier Transform of the Impulse Function; 1.5.4 Transform of the Constant Function; 1.5.5 Fourier Transform of the Sine and Cosine Functions; 1.5.6 Fourier Transform of the Complex Exponential; 1.5.7 Fourier Transform of a Periodic Function; 1.6 Some Properties of the Fourier Transform 1.6.1 Linearity of the Fourier Transform1.6.2 Scaling Property; 1.6.3 Symmetry of the Fourier Transform; 1.6.4 Time Domain Shift; 1.6.5 Frequency Domain Shift; 1.6.6 Differentiation in the Time Domain; 1.6.7 Integration in the Time Domain; 1.6.8 The Convolution Theorem in the Time Domain; 1.6.9 The Convolution Theorem in the Frequency Domain; 1.7 The Sampling Theorem; 1.8 Parseval's Theorem; 1.9 Average, Power, and Autocorrelation; 1.9.1 Time Autocorrelation of Signals; Chapter 2 -- Random Signals and Noise; 2.1 The Theory of Sets, Functions, and Measure; 2.1.1 Set Theory 2.1.2 Operations on Sets2.1.3 Families of Sets; 2.1.4 Indexing Sets; 2.1.5 Algebra of Sets; 2.1.6 Borel Algebra; 2.2 Probability Theory; 2.2.1 Axiomatic Approach to Probability; 2.2.2 Bayes' Rule; 2.3 Random Variables; 2.3.1 Mean Value of a Random Variable; 2.3.2 Moments of a Random Variable; 2.3.3 The Variance of a Random Variable; 2.3.4 The Characteristic Function of a Random Variable; 2.3.5 Some Important Random Variables; 2.3.6 Joint Random Variables; 2.4 Stochastic Processes; 2.4.1 The Autocorrelation Function; 2.4.2 Stationarity; 2.4.3 Wide Sense Stationarity; 2.4.4 Ergodic Signals 2.4.5 Properties of the Autocorrelation2.4.6 The Power Spectral Density; 2.4.7 Properties of the Power Spectral Density; 2.5 Linear Systems; 2.5.1 Expected Value of the Output Signal; 2.5.2 The Response of Linear Systems to Random Signals; 2.5.3 Phase Information; 2.6 Analysis of a Digital Signal; 2.6.1 Autocorrelation of a Digital Signal; 2.6.2 Power Spectral Density for the Digital Signal; 2.6.3 The Digital Signal Bandwidth; 2.7 Non-Linear Systems; 2.7.1 The Two-Level Quantizer; 2.7.2 Quantization Noise Spectrum for a Two-level Quantizer; 2.7.3 Response of a Squarer Circuit |
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| id | ZDB-4-EBA-on1056910651 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-27T13:29:11Z |
| institution | BVB |
| isbn | 9788793609358 8793609353 8770220786 9788770220781 9781003338864 1003338860 9781000794533 1000794539 9781000791419 1000791416 |
| language | English |
| oclc_num | 1056910651 |
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| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource |
| psigel | ZDB-4-EBA |
| publishDate | 2018 |
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| series2 | River Publishers series in communications |
| spelling | Alencar, Marcelo S., 1957- author. https://id.oclc.org/worldcat/entity/E39PCjCrWVwXXTbfrMyyQ4kfVP http://id.loc.gov/authorities/names/n2005043104 Modulation theory / Marcelo Sampaio de Alencar. Gistrup, Denmark : River Publishers, [2018] ©2018 1 online resource text txt rdacontent computer c rdamedia online resource cr rdacarrier River Publishers series in communications Green Engineering publishes original, high quality, peer-reviewed research papers and review articles dealing with environmentally safe engineering including their systems. The goal is to promote environmentally safe engineering by utilizing various modeling approaches, but especially transdisciplinary approach. Online resource; title from PDF title page (EBSCO, viewed January 22, 2019) Front Cover; Half Title Page; RIVER PUBLISHERS SERIES IN COMMUNICATIONS; Title Page -- Modulation Theory; Copyright Page; Contents; Preface; List of Figures; Chapter 1 -- Theory of Signals and Linear Systems; 1.1 Introduction; 1.2 Signal Analysis; 1.2.1 Linearity; 1.2.2 The Convolution Theorem; 1.3 Some Important Functions; 1.3.1 The Constant Function; 1.3.2 The Sine and the Cosine Functions; 1.3.3 The Heaviside Step Function; 1.3.4 The Ramp Function; 1.3.5 The Gate Function; 1.3.6 Impulse Function or Dirac's Delta Function; 1.3.7 The Sampling Function; 1.3.8 Even and Odd Functions 1.3.9 Some Elementary Properties of Functions1.4 Basic Fourier Analysis; 1.4.1 The Trigonometric Fourier Series; 1.4.2 The Compact Fourier Series; 1.4.3 The Exponential Fourier Series; 1.5 Fourier Transform; 1.5.1 Bilateral Exponential Signal; 1.5.2 Transform of the Gate Function; 1.5.3 Fourier Transform of the Impulse Function; 1.5.4 Transform of the Constant Function; 1.5.5 Fourier Transform of the Sine and Cosine Functions; 1.5.6 Fourier Transform of the Complex Exponential; 1.5.7 Fourier Transform of a Periodic Function; 1.6 Some Properties of the Fourier Transform 1.6.1 Linearity of the Fourier Transform1.6.2 Scaling Property; 1.6.3 Symmetry of the Fourier Transform; 1.6.4 Time Domain Shift; 1.6.5 Frequency Domain Shift; 1.6.6 Differentiation in the Time Domain; 1.6.7 Integration in the Time Domain; 1.6.8 The Convolution Theorem in the Time Domain; 1.6.9 The Convolution Theorem in the Frequency Domain; 1.7 The Sampling Theorem; 1.8 Parseval's Theorem; 1.9 Average, Power, and Autocorrelation; 1.9.1 Time Autocorrelation of Signals; Chapter 2 -- Random Signals and Noise; 2.1 The Theory of Sets, Functions, and Measure; 2.1.1 Set Theory 2.1.2 Operations on Sets2.1.3 Families of Sets; 2.1.4 Indexing Sets; 2.1.5 Algebra of Sets; 2.1.6 Borel Algebra; 2.2 Probability Theory; 2.2.1 Axiomatic Approach to Probability; 2.2.2 Bayes' Rule; 2.3 Random Variables; 2.3.1 Mean Value of a Random Variable; 2.3.2 Moments of a Random Variable; 2.3.3 The Variance of a Random Variable; 2.3.4 The Characteristic Function of a Random Variable; 2.3.5 Some Important Random Variables; 2.3.6 Joint Random Variables; 2.4 Stochastic Processes; 2.4.1 The Autocorrelation Function; 2.4.2 Stationarity; 2.4.3 Wide Sense Stationarity; 2.4.4 Ergodic Signals 2.4.5 Properties of the Autocorrelation2.4.6 The Power Spectral Density; 2.4.7 Properties of the Power Spectral Density; 2.5 Linear Systems; 2.5.1 Expected Value of the Output Signal; 2.5.2 The Response of Linear Systems to Random Signals; 2.5.3 Phase Information; 2.6 Analysis of a Digital Signal; 2.6.1 Autocorrelation of a Digital Signal; 2.6.2 Power Spectral Density for the Digital Signal; 2.6.3 The Digital Signal Bandwidth; 2.7 Non-Linear Systems; 2.7.1 The Two-Level Quantizer; 2.7.2 Quantization Noise Spectrum for a Two-level Quantizer; 2.7.3 Response of a Squarer Circuit Marcelo Sampaio de Alencar Includes bibliographical references (pages 233-239) and index. Modulators (Electronics) http://id.loc.gov/authorities/subjects/sh85086469 Modulation theory. http://id.loc.gov/authorities/subjects/sh85086468 Modulateurs (Électronique) Théorie de la modulation. TECHNOLOGY & ENGINEERING Mechanical. bisacsh SCIENCE / Energy bisacsh TECHNOLOGY / Electricity bisacsh Modulation theory fast Modulators (Electronics) fast has work: Modulation theory (Text) https://id.oclc.org/worldcat/entity/E39PCFQDkVPJkb3WytChFmBbHP https://id.oclc.org/worldcat/ontology/hasWork Original 8770220263 9788770220262 9788793609365 8793609361 River Publishers series in communications. http://id.loc.gov/authorities/names/no2012038946 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1917714 Volltext |
| spellingShingle | Alencar, Marcelo S., 1957- Modulation theory / River Publishers series in communications. Front Cover; Half Title Page; RIVER PUBLISHERS SERIES IN COMMUNICATIONS; Title Page -- Modulation Theory; Copyright Page; Contents; Preface; List of Figures; Chapter 1 -- Theory of Signals and Linear Systems; 1.1 Introduction; 1.2 Signal Analysis; 1.2.1 Linearity; 1.2.2 The Convolution Theorem; 1.3 Some Important Functions; 1.3.1 The Constant Function; 1.3.2 The Sine and the Cosine Functions; 1.3.3 The Heaviside Step Function; 1.3.4 The Ramp Function; 1.3.5 The Gate Function; 1.3.6 Impulse Function or Dirac's Delta Function; 1.3.7 The Sampling Function; 1.3.8 Even and Odd Functions 1.3.9 Some Elementary Properties of Functions1.4 Basic Fourier Analysis; 1.4.1 The Trigonometric Fourier Series; 1.4.2 The Compact Fourier Series; 1.4.3 The Exponential Fourier Series; 1.5 Fourier Transform; 1.5.1 Bilateral Exponential Signal; 1.5.2 Transform of the Gate Function; 1.5.3 Fourier Transform of the Impulse Function; 1.5.4 Transform of the Constant Function; 1.5.5 Fourier Transform of the Sine and Cosine Functions; 1.5.6 Fourier Transform of the Complex Exponential; 1.5.7 Fourier Transform of a Periodic Function; 1.6 Some Properties of the Fourier Transform 1.6.1 Linearity of the Fourier Transform1.6.2 Scaling Property; 1.6.3 Symmetry of the Fourier Transform; 1.6.4 Time Domain Shift; 1.6.5 Frequency Domain Shift; 1.6.6 Differentiation in the Time Domain; 1.6.7 Integration in the Time Domain; 1.6.8 The Convolution Theorem in the Time Domain; 1.6.9 The Convolution Theorem in the Frequency Domain; 1.7 The Sampling Theorem; 1.8 Parseval's Theorem; 1.9 Average, Power, and Autocorrelation; 1.9.1 Time Autocorrelation of Signals; Chapter 2 -- Random Signals and Noise; 2.1 The Theory of Sets, Functions, and Measure; 2.1.1 Set Theory 2.1.2 Operations on Sets2.1.3 Families of Sets; 2.1.4 Indexing Sets; 2.1.5 Algebra of Sets; 2.1.6 Borel Algebra; 2.2 Probability Theory; 2.2.1 Axiomatic Approach to Probability; 2.2.2 Bayes' Rule; 2.3 Random Variables; 2.3.1 Mean Value of a Random Variable; 2.3.2 Moments of a Random Variable; 2.3.3 The Variance of a Random Variable; 2.3.4 The Characteristic Function of a Random Variable; 2.3.5 Some Important Random Variables; 2.3.6 Joint Random Variables; 2.4 Stochastic Processes; 2.4.1 The Autocorrelation Function; 2.4.2 Stationarity; 2.4.3 Wide Sense Stationarity; 2.4.4 Ergodic Signals 2.4.5 Properties of the Autocorrelation2.4.6 The Power Spectral Density; 2.4.7 Properties of the Power Spectral Density; 2.5 Linear Systems; 2.5.1 Expected Value of the Output Signal; 2.5.2 The Response of Linear Systems to Random Signals; 2.5.3 Phase Information; 2.6 Analysis of a Digital Signal; 2.6.1 Autocorrelation of a Digital Signal; 2.6.2 Power Spectral Density for the Digital Signal; 2.6.3 The Digital Signal Bandwidth; 2.7 Non-Linear Systems; 2.7.1 The Two-Level Quantizer; 2.7.2 Quantization Noise Spectrum for a Two-level Quantizer; 2.7.3 Response of a Squarer Circuit Modulators (Electronics) http://id.loc.gov/authorities/subjects/sh85086469 Modulation theory. http://id.loc.gov/authorities/subjects/sh85086468 Modulateurs (Électronique) Théorie de la modulation. TECHNOLOGY & ENGINEERING Mechanical. bisacsh SCIENCE / Energy bisacsh TECHNOLOGY / Electricity bisacsh Modulation theory fast Modulators (Electronics) fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85086469 http://id.loc.gov/authorities/subjects/sh85086468 |
| title | Modulation theory / |
| title_auth | Modulation theory / |
| title_exact_search | Modulation theory / |
| title_full | Modulation theory / Marcelo Sampaio de Alencar. |
| title_fullStr | Modulation theory / Marcelo Sampaio de Alencar. |
| title_full_unstemmed | Modulation theory / Marcelo Sampaio de Alencar. |
| title_short | Modulation theory / |
| title_sort | modulation theory |
| topic | Modulators (Electronics) http://id.loc.gov/authorities/subjects/sh85086469 Modulation theory. http://id.loc.gov/authorities/subjects/sh85086468 Modulateurs (Électronique) Théorie de la modulation. TECHNOLOGY & ENGINEERING Mechanical. bisacsh SCIENCE / Energy bisacsh TECHNOLOGY / Electricity bisacsh Modulation theory fast Modulators (Electronics) fast |
| topic_facet | Modulators (Electronics) Modulation theory. Modulateurs (Électronique) Théorie de la modulation. TECHNOLOGY & ENGINEERING Mechanical. SCIENCE / Energy TECHNOLOGY / Electricity Modulation theory |
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| work_keys_str_mv | AT alencarmarcelos modulationtheory |