Námskeið
- RAF503G Merkjafræði.
Ensk lýsing:
Digital Signal Processing: A Computer-Based Approach is intended for a two-semester course on digital signal processing for seniors or first-year graduate students. The prerequisite for this book is a junior-level course in linear continuous-time and discrete-time systems, which is usually required in most universities. A key feature of this book is the extensive use of MATLAB-based examples that illustrate the program's powerful capability to solve signal processing problems.
Lýsing:
Digital Signal Processing: A Computer-Based Approach is intended for a two-semester course on digital signal processing for seniors or first-year graduate students. The prerequisite for this book is a junior-level course in linear continuous-time and discrete-time systems, which is usually required in most universities. A key feature of this book is the extensive use of MATLAB-based examples that illustrate the program's powerful capability to solve signal processing problems.
Annað
- Höfundur: Mitra
- Útgáfa:4
- Útgáfudagur:
- Hægt að prenta út 2 bls.
- Hægt að afrita 2 bls.
- Format:Page Fidelity
- ISBN 13: 9780077159702
- Print ISBN: 9780071289467
- ISBN 10: 0077159705
Efnisyfirlit
- Copyright
- About the Author
- Preface
- Acknowledgements
- Chapter 1 Signals and Signal Processing
- 1.1 Characterization and Classification of Signals
- 1.2 Typical Signal Processing Operations
- 1.3 Examples of Typical Signals
- 1.4 Typical Signal Processing Applications
- 1.5 Why Digital Signal Processing?
- Chapter 2 Discrete-Time Signals in the Time Domain
- 2.1 Time-Domain Representation
- 2.2 Operations on Sequences
- 2.3 Operations on Finite-Length Sequences
- 2.4 Typical Sequences and Sequence Representation
- 2.5 The Sampling Process
- 2.6 Correlation of Signals
- 2.7 Random Signals
- 2.8 Summary
- 2.9 Problems
- 2.10 MATLAB Exercises
- Chapter 3 Discrete-Time Signals in the Frequency Domain
- 3.1 The Continuous-Time Fourier Transform
- 3.3 Discrete-Time Fourier Transform Theorems
- 3.4 Energy Density Spectrum of a Discrete-Time Sequence
- 3.5 Band-Limited Discrete-Time Signals
- 3.6 DTFT Computation Using MATLAB
- 3.7 The Unwrapped Phase Function
- 3.8 Digital Processing of Continuous-Time Signals
- 3.9 Sampling of Bandpass Signals
- 3.10 Effect of Sample-and-Hold Operation
- 3.11 Summary
- 3.12 Problems
- 3.13 MATLAB Exercises
- Chapter 4 Discrete-Time Systems
- 4.1 Discrete-Time System Examples
- 4.2 Classification of Discrete-Time Systems
- 4.3 Impulse and Step Responses
- 4.4 Time-Domain Characterization of LTI Discrete-Time Systems
- 4.5 Simple Interconnection Schemes
- 4.6 Finite-Dimensional LTI Discrete-Time Systems
- 4.7 Classification of LTI Discrete-Time Systems
- 4.8 Frequency-Domain Representations of LTI Discrete-Time Systems
- 4.9 Phase and Group Delays
- 4.10 Summary
- 4.11 Problems
- 4.12 MATLAB Exercises
- Chapter 5 Finite-Length Discrete Transforms
- 5.1 Orthogonal Transforms
- 5.2 The Discrete Fourier Transform
- 5.3 Relation Between the DTFT and the DFT and Their Inverses
- 5.4 Circular Convolution
- 5.5 Classifications of Finite-Length Sequences
- 5.6 DFT Symmetry Relations
- 5.7 Discrete Fourier Transform Theorems
- 5.8 Fourier-Domain Filtering
- 5.9 Computation of the DFT of Real Sequences
- 5.10 Linear Convolution Using the DFT
- 5.11 Short-Time Fourier Transform
- 5.12 Discrete Cosine Transform
- 5.13 The Haar Transform
- 5.14 Energy Compaction Properties
- 5.15 Summary
- 5.16 Problems
- 5.17 MATLAB Exercises
- Chapter 6 z-Transform
- 6.1 Definition
- 6.2 Rational z-Transforms
- 6.3 Region of Convergence of a Rational z-Transform
- 6.4 The Inverse z-Transform
- 6.5 z-Transform Theorems
- 6.6 Computation of the Convolution Sum of Finite-Length Sequences
- 6.7 The Transfer Function
- 6.8 Summary
- 6.9 Problems
- 6.10 MATLAB Exercises
- Chapter 7 LTI Discrete-Time Systems in the Transform Domain
- 7.1 Transfer Function Classification Based on Magnitude Characteristics
- 7.2 Transfer Function Classification Based on Phase Characteristics
- 7.3 Types of Linear-Phase FIR Transfer Functions
- 7.4 Simple Digital Filters
- 7.5 Complementary Transfer Functions
- 7.6 Inverse Systems
- 7.7 System Identification
- 7.8 Digital Two-Pairs
- 7.9 Algebraic Stability Test
- 7.10 Summary
- 7.11 Problems
- 7.12 MATLAB Exercises
- Chapter 8 Digital Filter Structures
- 8.1 Block Diagram Representation
- 8.2 Equivalent Structures
- 8.3 Basic FIR Digital Filter Structures
- 8.4 Basic IIR Digital Filter Structures
- 8.5 Realization of Basic Structures Using MATLAB
- 8.6 Allpass Filters
- 8.7 Parametrically Tunable Low-Order IIR Digital Filter Pairs
- 8.8 IIR Tapped Cascaded Lattice Structures
- 8.9 FIR Cascaded Lattice Structures
- 8.10 Parallel Allpass Realization of IIR Transfer Functions
- 8.11 Tunable High-Order Digital Filters
- 8.12 Computational Complexity of Digital Filter Structures
- 8.13 Summary
- 8.14 Problems
- 8.15 MATLAB Exercises
- Chapter 9 IIR Digital Filter Design
- 9.1 Preliminary Considerations
- 9.2 Bilinear TransformationMethod of IIR Filter Design
- 9.3 Design of Lowpass IIR Digital Filters
- 9.4 Design of Highpass, Bandpass, and Bandstop IIR Digital Filters
- 9.5 Spectral Transformations of IIR Filters
- 9.6 IIR Digital Filter Design Using MATLAB
- 9.7 Computer-Aided Design of IIR Digital Filters
- 9.8 Summary
- 9.9 Problems
- 9.10 MATLAB Exercises
- Chapter 10 FIR Digital Filter Design
- 10.1 Preliminary Considerations
- 10.2 FIR Filter Design Based on Windowed Fourier Series
- 10.3 Computer-Aided Design of Equiripple Linear-Phase FIR Filters
- 10.4 Design of Minimum-Phase FIR Filters
- 10.5 FIR Digital Filter Design Using MATLAB
- 10.6 Design of Computationally Efficient FIR Digital Filters
- 10.7 Summary
- 10.8 Problems
- 10.9 MATLAB Exercises
- Chapter 11 DSP Algorithm Implementation
- 11.1 Basic Issues
- 11.2 Structure Simulation and Verification Using MATLAB
- 11.3 Computation of the Discrete Fourier Transform
- 11.4 Fast DFT Algorithms Based on Index Mapping
- 11.5 DFT and IDFT Computation Using MATLAB
- 11.6 Sliding Discrete Fourier Transform
- 11.7 DFT Computation over a Narrow Frequency Band
- 11.8 Number Representation
- 11.9 Handling of Overflow
- 11.10 Summary
- 11.11 Problems
- 11.12 MATLAB Exercises
- Chapter 12 Analysis of FiniteWordlength Effects
- 12.1 The Quantization Process and Errors
- 12.2 Quantization of Fixed-Point Numbers
- 12.3 Quantization of Floating-Point Numbers
- 12.4 Analysis of Coefficient Quantization Effects
- 12.5 A/D Conversion Noise Analysis
- 12.6 Analysis of Arithmetic Round-Off Errors
- 12.7 Dynamic Range Scaling
- 12.8 Signal-to-Noise Ratio in Low-Order IIR Filters
- 12.9 Low-Sensitivity Digital Filters
- 12.10 Reduction of Product Round-Off Noise Using Error Feedback
- 12.11 Limit Cycles in IIR Digital Filters
- 12.12 Round-Off Errors in FFT Algorithms
- 12.13 Summary
- 12.14 Problems
- 12.15 MATLAB Exercises
- Chapter 13 Multirate Digital Signal Processing Fundamentals
- 13.1 The Basic Sampling Rate Alteration Devices
- 13.2 Multirate Structures for Sampling Rate Conversion
- 13.3 Multistage Design of Decimator and Interpolator
- 13.4 The Polyphase Decomposition
- 13.5 Arbitrary-Rate Sampling Rate Converter
- 13.6 Nyquist Filters
- 13.7 CIC Decimators and Interpolators
- 13.8 Summary
- 13.9 Problems
- 13.10 Matlab Exercises
- Chapter 14 Multirate Filter Banks and Wavelets
- 14.1 Digital Filter Banks
- 14.2 Two-Channel Quadrature-Mirror Filter Bank
- 14.3 Perfect Reconstruction Two-Channel FIR Filter Banks
- 14.4 L-Channel QMF Banks
- 14.5 Multilevel Filter Banks
- 14.6 Discrete Wavelet Transform
- 14.7 Summary
- 14.8 Problems
- 14.9 MATLAB Exercises
- Appendix A Analog Lowpass Filter Design
- A.1 Analog Filter Specifications
- A.2 Butterworth Approximation
- A.3 Chebyshev Approximation
- A.4 Elliptic Approximation
- A.5 Linear-Phase Approximation
- A.6 Analog Filter Design Using MATLAB
- A.7 Analog Lowpass Filter Design Examples
- A.8 A Comparison of the Filter Types
- A.9 Anti-Aliasing Filter Design
- A.10 Reconstruction Filter Design
- Appendix B Design of Analog Highpass, Bandpass, and Bandstop Filters
- B.1 Analog Highpass Filter Design
- B.2 Analog Bandpass Filter Design
- B.3 Analog Bandstop Filter Design
- Appendix C Discrete-Time Random Signals
- C.1 Statistical Properties of a Random Variable
- C.2 Statistical Properties of a Random Signal
- C.3 Wide-Sense Stationary Random Signal
- C.4 Concept of Power in a Random Signal
- C.5 Ergodic Signal
- C.6 Transform-Domain Representations of Random Signals
- C.7 White Noise
- C.8 Discrete-Time Processing of Random Signals
- Bibliography
- Index
UM RAFBÆKUR Á HEIMKAUP.IS
Bókahillan þín er þitt svæði og þar eru bækurnar þínar geymdar. Þú kemst í bókahilluna þína hvar og hvenær sem er í tölvu eða snjalltæki. Einfalt og þægilegt!Rafbók til eignar
Rafbók til eignar þarf að hlaða niður á þau tæki sem þú vilt nota innan eins árs frá því bókin er keypt.
Þú kemst í bækurnar hvar sem er
Þú getur nálgast allar raf(skóla)bækurnar þínar á einu augabragði, hvar og hvenær sem er í bókahillunni þinni. Engin taska, enginn kyndill og ekkert vesen (hvað þá yfirvigt).
Auðvelt að fletta og leita
Þú getur flakkað milli síðna og kafla eins og þér hentar best og farið beint í ákveðna kafla úr efnisyfirlitinu. Í leitinni finnur þú orð, kafla eða síður í einum smelli.
Glósur og yfirstrikanir
Þú getur auðkennt textabrot með mismunandi litum og skrifað glósur að vild í rafbókina. Þú getur jafnvel séð glósur og yfirstrikanir hjá bekkjarsystkinum og kennara ef þeir leyfa það. Allt á einum stað.
Hvað viltu sjá? / Þú ræður hvernig síðan lítur út
Þú lagar síðuna að þínum þörfum. Stækkaðu eða minnkaðu myndir og texta með multi-level zoom til að sjá síðuna eins og þér hentar best í þínu námi.
Fleiri góðir kostir
- Þú getur prentað síður úr bókinni (innan þeirra marka sem útgefandinn setur)
- Möguleiki á tengingu við annað stafrænt og gagnvirkt efni, svo sem myndbönd eða spurningar úr efninu
- Auðvelt að afrita og líma efni/texta fyrir t.d. heimaverkefni eða ritgerðir
- Styður tækni sem hjálpar nemendum með sjón- eða heyrnarskerðingu
- Gerð : 208
- Höfundur : 5793
- Leyfi : 379