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· 제목 : DSP Primer (Hardcover, 1) 
· 분류 : 외국도서 > 기술공학 > 기술공학 > 전기공학
· ISBN : 9780070540040
· 쪽수 : 560쪽
· 분류 : 외국도서 > 기술공학 > 기술공학 > 전기공학
· ISBN : 9780070540040
· 쪽수 : 560쪽
목차
Preface Chapter 1: Some Essential Preliminaries Chapter 2: Continuous-Time Signals and Their Spectra Chapter 3: Noise Chapter 4: Linear Systems Chapter 5: Classical Analog Filters Chapter 6: Foundations of Digital Signal Processing Chapter 7: Transform Analysis of Chapter 8: Discrete Fourier Transform (DFT) Chapter 9: Fast Fourier Transforms Chapter 10: Windows for Filtering and Spectral Analysis Chapter 11: FIR Filter Fundamentals Chapter 12: FIR Filter Design: Window Method Chapter 13: FIR Filter Design: Frequency Chapter 14: FIR Filter Design: Remez Chapter 15: IIR Filter Fundamentals Chapter 16: IIR Filter Design: Invariance and Pole-Zero Placement Methods Chapter 17: IIR Filter Design: Bilinear Transformation Chapter 18: Multirate Signal Processing: Basic Concepts Chapter 19: Structures for Decimators and Interpolators Chapter 20: Advanced Multirate Techniques 341 Chapter 21: Random Signals and Sequences 353 Chapter 22: Parametric Models of Random Processes 379 Chapter 23: Linear Prediction 389 Chapter 24: Adaptive Filters 403
Chapter 25: Classical Spectral Estimation 441 Chapter 26: Modern Spectral Estimation 457 Chapter 27: Speech Processing 469 Appendix A: Mathematical Tools 489 Index
Chapter 2: Continuous-Time Signals and Their Spectra Chapter 3: Noise Chapter 4: Linear Systems Chapter 5: Classical Analog Filters Chapter 6: Foundations of Digital Signal Processing Chapter 7: Transform Analysis of Chapter 8: Discrete Fourier Transform (DFT) Chapter 9: Fast Fourier Transforms Chapter 10: Windows for Filtering and Spectral Analysis Chapter 11: FIR Filter Fundamentals Chapter 12: FIR Filter Design: Window Method Chapter 13: FIR Filter Design: Frequency Chapter 14: FIR Filter Design: Remez Chapter 15: IIR Filter Fundamentals Chapter 16: IIR Filter Design: Invariance and Pole-Zero Placement Methods Chapter 17: IIR Filter Design: Bilinear Transformation Chapter 18: Multirate Signal Processing: Basic Concepts Chapter 19: Structures for Decimators and Interpolators Chapter 20: Advanced Multirate Techniques 341 Chapter 21: Random Signals and Sequences 353 Chapter 22: Parametric Models of Random Processes 379 Chapter 23: Linear Prediction 389 Chapter 24: Adaptive Filters 403
Chapter 25: Classical Spectral Estimation 441 Chapter 26: Modern Spectral Estimation 457 Chapter 27: Speech Processing 469 Appendix A: Mathematical Tools 489 Index
Chapter 4: Linear Systems Chapter 5: Classical Analog Filters Chapter 6: Foundations of Digital Signal Processing Chapter 7: Transform Analysis of Chapter 8: Discrete Fourier Transform (DFT) Chapter 9: Fast Fourier Transforms Chapter 10: Windows for Filtering and Spectral Analysis Chapter 11: FIR Filter Fundamentals Chapter 12: FIR Filter Design: Window Method Chapter 13: FIR Filter Design: Frequency Chapter 14: FIR Filter Design: Remez Chapter 15: IIR Filter Fundamentals Chapter 16: IIR Filter Design: Invariance and Pole-Zero Placement Methods Chapter 17: IIR Filter Design: Bilinear Transformation Chapter 18: Multirate Signal Processing: Basic Concepts Chapter 19: Structures for Decimators and Interpolators Chapter 20: Advanced Multirate Techniques 341 Chapter 21: Random Signals and Sequences 353 Chapter 22: Parametric Models of Random Processes 379 Chapter 23: Linear Prediction 389 Chapter 24: Adaptive Filters 403
Chapter 25: Classical Spectral Estimation 441 Chapter 26: Modern Spectral Estimation 457 Chapter 27: Speech Processing 469 Appendix A: Mathematical Tools 489 Index
Chapter 6: Foundations of Digital Signal Processing Chapter 7: Transform Analysis of Chapter 8: Discrete Fourier Transform (DFT) Chapter 9: Fast Fourier Transforms Chapter 10: Windows for Filtering and Spectral Analysis Chapter 11: FIR Filter Fundamentals Chapter 12: FIR Filter Design: Window Method Chapter 13: FIR Filter Design: Frequency Chapter 14: FIR Filter Design: Remez Chapter 15: IIR Filter Fundamentals Chapter 16: IIR Filter Design: Invariance and Pole-Zero Placement Methods Chapter 17: IIR Filter Design: Bilinear Transformation Chapter 18: Multirate Signal Processing: Basic Concepts Chapter 19: Structures for Decimators and Interpolators Chapter 20: Advanced Multirate Techniques 341 Chapter 21: Random Signals and Sequences 353 Chapter 22: Parametric Models of Random Processes 379 Chapter 23: Linear Prediction 389 Chapter 24: Adaptive Filters 403
Chapter 25: Classical Spectral Estimation 441 Chapter 26: Modern Spectral Estimation 457 Chapter 27: Speech Processing 469 Appendix A: Mathematical Tools 489 Index
Chapter 8: Discrete Fourier Transform (DFT) Chapter 9: Fast Fourier Transforms Chapter 10: Windows for Filtering and Spectral Analysis Chapter 11: FIR Filter Fundamentals Chapter 12: FIR Filter Design: Window Method Chapter 13: FIR Filter Design: Frequency Chapter 14: FIR Filter Design: Remez Chapter 15: IIR Filter Fundamentals Chapter 16: IIR Filter Design: Invariance and Pole-Zero Placement Methods Chapter 17: IIR Filter Design: Bilinear Transformation Chapter 18: Multirate Signal Processing: Basic Concepts Chapter 19: Structures for Decimators and Interpolators Chapter 20: Advanced Multirate Techniques 341 Chapter 21: Random Signals and Sequences 353 Chapter 22: Parametric Models of Random Processes 379 Chapter 23: Linear Prediction 389 Chapter 24: Adaptive Filters 403
Chapter 25: Classical Spectral Estimation 441 Chapter 26: Modern Spectral Estimation 457 Chapter 27: Speech Processing 469 Appendix A: Mathematical Tools 489 Index
Chapter 10: Windows for Filtering and Spectral Analysis Chapter 11: FIR Filter Fundamentals Chapter 12: FIR Filter Design: Window Method Chapter 13: FIR Filter Design: Frequency Chapter 14: FIR Filter Design: Remez Chapter 15: IIR Filter Fundamentals Chapter 16: IIR Filter Design: Invariance and Pole-Zero Placement Methods Chapter 17: IIR Filter Design: Bilinear Transformation Chapter 18: Multirate Signal Processing: Basic Concepts Chapter 19: Structures for Decimators and Interpolators Chapter 20: Advanced Multirate Techniques 341 Chapter 21: Random Signals and Sequences 353 Chapter 22: Parametric Models of Random Processes 379 Chapter 23: Linear Prediction 389 Chapter 24: Adaptive Filters 403
Chapter 25: Classical Spectral Estimation 441 Chapter 26: Modern Spectral Estimation 457 Chapter 27: Speech Processing 469 Appendix A: Mathematical Tools 489 Index
Chapter 12: FIR Filter Design: Window Method Chapter 13: FIR Filter Design: Frequency Chapter 14: FIR Filter Design: Remez Chapter 15: IIR Filter Fundamentals Chapter 16: IIR Filter Design: Invariance and Pole-Zero Placement Methods Chapter 17: IIR Filter Design: Bilinear Transformation Chapter 18: Multirate Signal Processing: Basic Concepts Chapter 19: Structures for Decimators and Interpolators Chapter 20: Advanced Multirate Techniques 341 Chapter 21: Random Signals and Sequences 353 Chapter 22: Parametric Models of Random Processes 379 Chapter 23: Linear Prediction 389 Chapter 24: Adaptive Filters 403
Chapter 25: Classical Spectral Estimation 441 Chapter 26: Modern Spectral Estimation 457 Chapter 27: Speech Processing 469 Appendix A: Mathematical Tools 489 Index
Chapter 14: FIR Filter Design: Remez Chapter 15: IIR Filter Fundamentals Chapter 16: IIR Filter Design: Invariance and Pole-Zero Placement Methods Chapter 17: IIR Filter Design: Bilinear Transformation Chapter 18: Multirate Signal Processing: Basic Concepts Chapter 19: Structures for Decimators and Interpolators Chapter 20: Advanced Multirate Techniques 341 Chapter 21: Random Signals and Sequences 353 Chapter 22: Parametric Models of Random Processes 379 Chapter 23: Linear Prediction 389 Chapter 24: Adaptive Filters 403
Chapter 25: Classical Spectral Estimation 441 Chapter 26: Modern Spectral Estimation 457 Chapter 27: Speech Processing 469 Appendix A: Mathematical Tools 489 Index
Chapter 16: IIR Filter Design: Invariance and Pole-Zero Placement Methods Chapter 17: IIR Filter Design: Bilinear Transformation Chapter 18: Multirate Signal Processing: Basic Concepts Chapter 19: Structures for Decimators and Interpolators Chapter 20: Advanced Multirate Techniques 341 Chapter 21: Random Signals and Sequences 353 Chapter 22: Parametric Models of Random Processes 379 Chapter 23: Linear Prediction 389 Chapter 24: Adaptive Filters 403
Chapter 25: Classical Spectral Estimation 441 Chapter 26: Modern Spectral Estimation 457 Chapter 27: Speech Processing 469 Appendix A: Mathematical Tools 489 Index
Chapter 18: Multirate Signal Processing: Basic Concepts Chapter 19: Structures for Decimators and Interpolators Chapter 20: Advanced Multirate Techniques 341 Chapter 21: Random Signals and Sequences 353 Chapter 22: Parametric Models of Random Processes 379 Chapter 23: Linear Prediction 389 Chapter 24: Adaptive Filters 403
Chapter 25: Classical Spectral Estimation 441 Chapter 26: Modern Spectral Estimation 457 Chapter 27: Speech Processing 469 Appendix A: Mathematical Tools 489 Index
Chapter 20: Advanced Multirate Techniques 341 Chapter 21: Random Signals and Sequences 353 Chapter 22: Parametric Models of Random Processes 379 Chapter 23: Linear Prediction 389 Chapter 24: Adaptive Filters 403
Chapter 25: Classical Spectral Estimation 441 Chapter 26: Modern Spectral Estimation 457 Chapter 27: Speech Processing 469 Appendix A: Mathematical Tools 489 Index
Chapter 22: Parametric Models of Random Processes 379 Chapter 23: Linear Prediction 389 Chapter 24: Adaptive Filters 403
Chapter 25: Classical Spectral Estimation 441 Chapter 26: Modern Spectral Estimation 457 Chapter 27: Speech Processing 469 Appendix A: Mathematical Tools 489 Index
Chapter 24: Adaptive Filters 403
Chapter 25: Classical Spectral Estimation 441 Chapter 26: Modern Spectral Estimation 457 Chapter 27: Speech Processing 469 Appendix A: Mathematical Tools 489 Index
Chapter 26: Modern Spectral Estimation 457 Chapter 27: Speech Processing 469 Appendix A: Mathematical Tools 489 Index
Appendix A: Mathematical Tools 489 Index
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