Digital Signal Processing : a Practical Guide for Engineers and Scientists.
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| Main Author: | |
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
Saint Louis :
Elsevier Science & Technology,
2013.
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| Edition: | 3rd ed. |
| Series: | Demystifying Technology.
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| Subjects: | |
| Online Access: |
Full text (Emmanuel users only) |
Table of Contents:
- Cover; Frontmatter; Half Title Page; Title Page; Copyright; Contents at A Glance; Table of Contents; Preface; Chapter 1. The Breadth and Depth of DSP; The Roots of DSP; Telecommunications; Audio Processing; Echo Location; Image Processing; Chapter 2. Statistics, Probability and Noise; Signal and Graph Terminology; Mean and Standard Deviation; Signal vs. Underlying Process; The Histogram, Pmf and Pdf; The Normal Distribution; Digital Noise Generation; Precision and Accuracy; Chapter 3. ADC and DAC; Quantization; The Sampling Theorem; Digital-to-Analog Conversion.
- Analog Filters for Data ConversionSelecting the Antialias Filter; Multirate Data Conversion; Single-Bit Data Conversion; Chapter 4. DSP Software; Computer Numbers; Fixed Point (Integers); Floating Point (Real Numbers); Number Precision; Execution Speed: Program Language; Execution Speed: Hardware; Execution Speed: Programming Tips; Chapter 5. Linear Systems; Signals and Systems; Requirements for Linearity; Static Linearity and Sinusoidal Fidelity; Examples of Linear and Nonlinear Systems; Special Properties of Linearity; Superposition: The Foundation of DSP; Common Decompositions.
- Alternatives to LinearityChapter 6. Convolution; The Delta Function and Impulse Response; Convolution; The Input Side Algorithm; The Output Side Algorithm; The Sum of Weighted Inputs; Chapter 7. Properties of Convolution; Common Impulse Responses; Mathematical Properties; Correlation; Speed; Chapter 8. The Discrete Fourier Transform; The Family of Fourier Transform; Notation and Format of the Real DFT; The Frequency Domain's Independent Variable; DFT Basis Functions; Synthesis, Calculating the Inverse DFT; Analysis, Calculating the DFT; Duality; Polar Notation; Polar Nuisances.
- Chapter 9. Applications of the DFTSpectral Analysis of Signals; Frequency Response of Systems; Convolution via the Frequency Domain; Chapter 10. Fourier Transform Properties; Linearity of the Fourier Transform; Characteristics of the Phase; Periodic Nature of the DFT; Compression and Expansion, Multirate Methods; Multiplying Signals (Amplitude Modulation); The Discrete Time Fourier Transform; Parseval's Relation; Chapter 11. Fourier Transform Pairs; Delta Function Pairs; The Sinc Function; Other Transform Pairs; Gibbs Effect; Harmonics; Chirp Signals; Chapter 12. The Fast Fourier Transform.
- Real DFT Using the Complex DFTHow the FFT Works; FFT Programs; Speed and Precision Comparisons; Further Speed Increases; Chapter 13. Continuous Signal Processing; The Delta Function; Convolution; The Fourier Transform; The Fourier Series; Chapter 14. Introduction to Digital Filters; Filter Basics; How Information Is Represented in Signals; Time Domain Parameters; Frequency Domain Parameters; High-Pass, Band-Pass and Band-Reject Filters; Filter Classification; Chapter 15. Moving Average Filters; Implementation by ConvoIution; Noise Reduction vs. Step Response; Frequency Response.