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Digital Signal Processing 101 : Everything You Need to Know to Get Started /
Digital Signal Processing 101: Everything You Need to Know to Get Started provides a basic tutorial on digital signal processing (DSP). Beginning with discussions of numerical representation and complex numbers and exponentials, it goes on to explain difficult concepts such as sampling, aliasing, im...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Oxford, United Kingdom :
Newnes is an imprint of Elsevier,
[2017]
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| Edición: | Second edition. |
| Temas: | |
| Acceso en línea: | Texto completo Texto completo |
MARC
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| 100 | 1 | |a Parker, Michael, |d 1963- |e author. |1 https://id.oclc.org/worldcat/entity/E39PCjvDYGqrh6QMB4xTvyCcGd | |
| 245 | 1 | 0 | |a Digital Signal Processing 101 : |b Everything You Need to Know to Get Started / |c Michael Parker. |
| 250 | |a Second edition. | ||
| 264 | 1 | |a Oxford, United Kingdom : |b Newnes is an imprint of Elsevier, |c [2017] | |
| 264 | 4 | |c ©2017 | |
| 300 | |a 1 online resource | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 588 | 0 | |a Online resource; title from PDF title page (EBSCO, viewed July 13, 2017). | |
| 500 | |a Includes index. | ||
| 520 | |a Digital Signal Processing 101: Everything You Need to Know to Get Started provides a basic tutorial on digital signal processing (DSP). Beginning with discussions of numerical representation and complex numbers and exponentials, it goes on to explain difficult concepts such as sampling, aliasing, imaginary numbers, and frequency response. It does so using easy-to-understand examples with minimum mathematics. In addition, there is an overview of the DSP functions and implementation used in several DSP-intensive fields or applications, from error correction to CDMA mobile communication to airborne radar systems. This book has been updated to include the latest developments in Digital Signal Processing, and hasïŽeight new chapters on: Automotive Radar Signal Processing Space-Time Adaptive Processing RadarField Orientated Motor Control Matrix Inversion algorithms GPUs for computing Machine LearningEntropy and Predictive CodingVideo compression. | ||
| 504 | |a Includes bibliographical references at the end of each chapters and index. | ||
| 505 | 0 | |a Front Cover; Digital Signal Processing; Copyright Page; Table of Contents; Introduction; Acknowledgments; Chapter 1: Numerical Representation; 1.1. Integer Fixed-Point Representation; 1.2. Fractional Fixed-Point Representation; 1.3. Floating-Point Representation; Chapter 2: Complex Numbers and Exponentials; 2.1. Complex Addition and Subtraction; 2.2. Complex Multiplication; 2.3. Complex Conjugate; 2.4. The Complex Exponential; 2.5. Measuring Angles in Radians; Chapter 3: Sampling, Aliasing, and Quantization; 3.1. Nyquist Sampling Rule; 3.2. Quantization; Chapter 4: Frequency Response. | |
| 505 | 8 | |a 4.1. Frequency Response and the Complex Exponential4.2. Normalizing Frequency Response; 4.3. Sweeping across the Frequency Response; 4.4. Example Frequency Responses; 4.5. Linear Phase Response; 4.6. Normalized Frequency Response Plots; Chapter 5: Finite Impulse Response (FIR) Filters; 5.1. FIR Filter Construction; 5.2. Computing Frequency Response; 5.3. Computing Filter Coefficients; 5.4. Effect of Number of Taps on Filter Response; Chapter 6: Windowing; 6.1. Truncation of Coefficients; 6.2. Tapering of Coefficients; 6.3. Example Coefficient Windows; Chapter 7: Decimation and Interpolation. | |
| 505 | 8 | |a 7.1. Decimation7.2. Interpolation; 7.3. Resampling by Non-Integer Value; Chapter 8: Infinite Impulse Response (IIR) Filters; 8.1. IIR and FIR Filter Characteristic Comparison; 8.2. Bilinear Transform; 8.3. Frequency Prewarping; Chapter 9: Complex Modulation and Demodulation; 9.1. Modulation Constellations; 9.2. Modulated Signal Bandwidth; 9.3. Pulse-Shaping Filter; 9.4. Raised Cosine Filter; Chapter 10: Discrete and Fast Fourier Transforms (DFT, FFT); 10.1. DFT and IDFT Equations; 10.2. Fast Fourier Transform (FFT); 10.3. Filtering Using the FFT and IFFT; 10.4. Bit Growth in FFTs. | |
| 505 | 8 | |a 10.5. Bit-Reversal AddressingChapter 11: Digital Upconversion and Downconversion; 11.1. Digital Upconversion; 11.2. Digital Downconversion; 11.3. IF Subsampling; Chapter 12: Error Correction Coding; 12.1. Linear Block Encoding; 12.2. Linear Block Decoding; 12.3. Minimum Coding Distance; 12.4. Convolutional Encoding; 12.5. Viterbi Decoding; 12.6. Soft Decision Decoding; 12.7. Cyclic Redundancy Check; 12.8. Shannon Capacity and Limit Theorems; Chapter 13: Analog and TDMA Wireless Communications; 13.1. Early Digital Innovations; 13.2. Frequency Modulation; 13.3. Digital Signal Processor. | |
| 505 | 8 | |a 13.4. Digital Voice Phone Systems13.5. TDMA Modulation and Demodulation; Chapter 14: CDMA Wireless Communications; 14.1. Spread Spectrum Technology; 14.2. Direct Sequence Spread Spectrum; 14.3. Walsh Codes; 14.4. Concept of CDMA; 14.5. Walsh Code Demodulation; 14.6. Network Synchronization; 14.7. RAKE Receiver; 14.8. Pilot PN Codes; 14.9. CDMA Transmit Architecture; 14.10. Variable Rate Vocoder; 14.11. Soft Handoff; 14.12. Uplink Modulation; 14.13. Power Control; 14.14. Higher Data Rates; 14.15. Spectral Efficiency Considerations; 14.16. Other CDMA Technologies. | |
| 546 | |a English. | ||
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Signal processing |x Digital techniques. | |
| 650 | 6 | |a Traitement du signal |x Techniques numériques. | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING |x Mechanical. |2 bisacsh | |
| 650 | 7 | |a Signal processing |x Digital techniques |2 fast | |
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| 776 | 0 | 8 | |i Print version: |a Parker, Michael. |t Digital Signal Processing 101 : Everything You Need to Know to Get Started. |d Saint Louis : Elsevier Science, ©2017 |z 9780128114537 |
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