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Digital Signal Processing 101, 1st Edition

Everything you need to know to get started

 
Digital Signal Processing 101, 1st Edition,Michael Parker,ISBN9781856179218
 
 
 

  

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9781856179218

9781856179225

264

235 X 191

Understand digital signal processing - absolutely no prior experience necessary!

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Key Features

    • Dismayed when presented with a mass of equations as an explanation of DSP? This is the book for you!
    • Clear examples and a non-mathematical approach gets you up to speed with DSP
    • Includes an overview of the DSP functions and implementation used in typical DSP-intensive applications, including error correction, CDMA mobile communication, and radar systems
  • ~

Description

Digital Signal Processing: 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 and a minimum of 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 is intended for those who have absolutely no previous experience with DSP, but are comfortable with high-school-level math skills. It is also for those who work in or provide components for industries that are made possible by DSP. Sample industries include wireless mobile phone and infrastructure equipment, broadcast and cable video, DSL modems, satellite communications, medical imaging, audio, radar, sonar, surveillance, and electrical motor control.

Readership

Electrical engineers, software engineers, hardware engineers, system engineers and students with no DSP experience

Michael Parker

Affiliations and Expertise

Senior DSP Technical Marketing Manager, Altera Corporation, San Jose, CA, USA

Digital Signal Processing 101, 1st Edition

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     4.1 Frequency Response and the Complex Exponential     4.2 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     7.1 Decimation     7.2 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     10.5 Bit-Reversal Addressing Chapter 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     13.4 Digital Voice Phone Systems     13.5 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 Chapter 15: OFDMA Wireless Communications     15.1 WiMax and LTE     15.2 OFDMA Advantages     15.3 Orthogonality of Periodic Signals     15.4 Frequency Spectrum of Orthogonal Subcarrier     15.5 OFDM Modulation     15.6 Intersymbol Interference and the Cyclic Prefix     15.7 MIMO Equalization     15.8 OFDMA System Considerations     15.9 OFDMA Spectral Efficiency     15.10 OFDMA Doppler Frequency Shift     15.11 Peak to Average Ratio     15.12 Crest Factor Reduction     15.13 Digital Predistortion     15.14 Remote Radio Head Chapter 16: Radar Basics     16.1 Radar Frequency Bands     16.2 Radar Antennas     16.3 Radar Range Equation     16.4 Stealth Aircraft     16.5 Pulsed Radar Operation     16.6 Pulse Compression     16.7 Pulse Repetition Frequency     16.8 Detection Processing Chapter 17: Pulse Doppler Radar     17.1 Doppler Effect     17.2 Pulsed Frequency Spectrum     17.3 Doppler Ambiguities     17.4 Radar Clutter     17.5 PRF Trade-offs     17.6 Target Tracking Chapter 18: Synthetic Array Radar     18.1 SAR Resolution     18.2 Pulse Compression     18.3 Azimuth Resolution     18.4 SAR Processing     18.5 SAR Doppler Processing     18.6 SAR Impairments Chapter 19: Introduction to Video Processing     19.1 Color Spaces     19.2 Interlacing     19.3 Deinterlacing     19.4 Image Resolution and Bandwidth     19.5 Chroma Scaling     19.6 Image Scaling and Cropping     19.7 Alpha Blending and Compositing     19.8 Video Compression     19.9 Video Interfaces Chapter 20: Implementation Using Digital Signal Processors     20.1 DSP Processor Architectural Enhancements     20.2 Scalability     20.3 Floating Point     20.4 Design Methodology     20.5 Managing Resources     20.6 Ecosystem Chapter 21: Implementation Using FPGAs     21.1 FPGA Design Methodology     21.2 DSP Processor or FPGA Choice     21.3 Design Methodology Considerations     21.4 Dedicated DSP Circuit Blocks in FPGAs     21.5 Floating Point in FPGAs     21.6 Ecosystem     21.7 Future Trends Appendix A: Q Format Shift with Fractional Multiplication Appendix B: Evaluation of FIR Design Error Minimization Appendix C: Laplace Transform Appendix D: Z-Transform Appendix E: Binary Field Arithmetic Index

Quotes and reviews

"Signal processing involves a lot more than any author can cover in 275 pages, so realize you will need some additional tutorial information available in online or printed references. Overall, though, this book provides a good starting point for people who need a quick introduction to DSP." - reviewed in Design News

 
 

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