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...

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Detalles Bibliográficos
Otros Autores:	Parker, Michael, 1963-, author (author)
Formato:	Libro electrónico
Idioma:	Inglés
Publicado:	Oxford, United Kingdom ; Cambridge, MA : Newnes [2017]
Edición:	Second edition
Materias:	Signal processing > Digital techniques.
Ver en Biblioteca Universitat Ramon Llull:	https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631427506719

Tabla de Contenidos:

Front Cover
Digital Signal Processing 101
Digital Signal Processing 101: Everything you Need to Know to Get Started
Copyright
Contents
Acknowledgments
Introduction
1 - Numerical Representation
1.1 Integer Fixed Point Representation
1.2 Fractional Fixed Point Representation
1.3 Floating Point Representation
2 - Complex Numbers and Exponentials
2.1 Complex Addition and Subtraction
2.2 Complex Multiplication
2.3 Polar Representation
2.4 Complex Multiplication Using Polar Representation
2.5 Complex Conjugate
2.6 The Complex Exponential
2.7 Measuring Angles in Radians
3 - Sampling, Aliasing, and Quantization
3.1 Sampling Effects
3.2 Nyquist Sampling Rule
3.3 Quantization
3.4 Signal to Noise Ratio
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
5 - Finite Impulse Response (FIR) Filters
5.1 Finite Impulse Response Filter Construction
5.2 Computing Frequency Response
5.3 Computing Filter Coefficients
5.4 Effect of Number of Taps on Filter Response
6 - Windowing
6.1 Truncation of Coefficients
6.2 Tapering of Coefficients
6.3 Sample Coefficient Windows
7 - Decimation and Interpolation
7.1 Decimation
7.2 Interpolation
7.3 Resampling by Noninteger Value
8 - Infinite Impulse Response (IIR) Filters
8.1 Infinite Impulse Response and Finite Impulse Response Filter Characteristic Comparison
8.2 Bilinear Transform
8.3 Frequency Prewarping
9 - Complex Modulation and Demodulation
9.1 Modulation Constellations
9.2 Modulated Signal Bandwidth
9.3 Pulse-Shaping Filter
9.4 Raised Cosine Filter.
10 - Discrete and Fast Fourier Transforms (DFT, FFT)
10.1 Discrete Fourier Transform and Inverse Discrete Fourier Transform Equations
10.2 First Discrete Fourier Transform Example
10.3 Second Discrete Fourier Transform Example
10.4 Third Discrete Fourier Transform Example
10.5 Fourth Discrete Fourier Transform Example
10.6 Fast Fourier Transform
10.7 Filtering Using the Fast Fourier Transform and Inverse Fast Fourier Transform
10.8 Bit Growth in Fast Fourier Transforms
10.9 Bit Reversal Addressing
11 - Digital Upconversion and Downconversion
11.1 Digital Upconversion
11.2 Digital Downconversion
11.3 Intermediate Frequency Subsampling
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
13 - Matrix Inversion
13.1 Matrix Basics
13.2 Cholesky Decomposition
13.3 4×4 Cholesky Example
13.4 QR Decomposition
13.5 Gram-Schmidt Method
13.6 QR Decomposition Restructuring for Parallel Implementation
14 - Field-Oriented Motor Control
14.1 Magnetism Basics
14.2 AC Motor Basics
14.3 DC Motor Basics
14.4 Electronic Commutation
14.5 AC Induction Motor
14.6 Motor Control
14.7 Park and Clark Transforms
15 - Analog and Time Division Multiple Access Wireless Communications
15.1 Early Digital Innovations
15.2 Frequency Modulation
15.3 Digital Signal Processor
15.4 Digital Voice Phone Systems
15.5 Time Division Multiple Access Modulation and Demodulation
16 - CDMA Wireless Communications
16.1 Spread Spectrum Technology
16.2 Direct Sequence Spread Spectrum
16.3 Walsh Codes
16.4 Concept of Code Division Multiple Access.
16.5 Walsh Code Demodulation
16.6 Network Synchronization
16.7 RAKE Receiver
16.8 Pilot Pseudorandom Number Codes
16.9 Code Division Multiple Access Transmit Architecture
16.10 Variable Rate Vocoder
16.11 Soft Handoff
16.12 Uplink Modulation
16.13 Power Control
16.14 Higher Data Rates
16.15 Spectral Efficiency Considerations
16.16 Other Code Division Multiple Access Technologies
17 - Orthogonal Frequency Division Multiple Access Wireless Communications
17.1 WiMax and Long-Term Evolution
17.2 Orthogonal Frequency Division Multiple Access Advantages
17.3 Orthogonality of Periodic Signals
17.4 Frequency Spectrum of Orthogonal Subcarrier
17.5 Orthogonal Frequency Division Multiplexing Modulation
17.6 Intersymbol Interference and the Cyclic Prefix
17.7 Multiple Input and Multiple Output Equalization
17.8 Orthogonal Frequency Division Multiple Access System Considerations
17.9 Orthogonal Frequency Division Multiple Access Spectral Efficiency
17.10 Orthogonal Frequency Division Multiple Access Doppler Frequency Shift
17.11 Peak to Average Ratio
17.12 Crest Factor Reduction
17.13 Digital Predistortion
17.14 Remote Radio Head
18 - Radar Basics
18.1 Radar Frequency Bands
18.2 Radar Antennas
18.3 Radar Range Equation
18.4 Stealth Aircraft
18.5 Pulsed Radar Operation
18.6 Pulse Compression
18.7 Pulse Repetition Frequency
18.8 Detection Processing
19 - Pulse Doppler Radar
19.1 Doppler Effect
19.2 Pulsed Frequency Spectrum
19.3 Doppler Ambiguities
19.4 Radar Clutter
19.5 Pulse Repetition Frequency Trade-Offs
19.6 Target Tracking
20 - Automotive Radar
20.1 Frequency-Modulated Continuous-Wave Theory
20.2 Frequency-Modulated Continuous-Wave Range Detection
20.3 Frequency-Modulated Continuous-Wave Doppler Detection.
20.4 Frequency-Modulated Continuous-Wave Radar Link Budget
20.5 Frequency-Modulated Continuous-Wave Implementation Considerations
20.6 Frequency-Modulated Continuous-Wave Interference
20.7 Frequency-Modulated Continuous-Wave Beamforming
20.8 Frequency-Modulated Continuous-Wave Range-Doppler Processing
20.9 Frequency-Modulated Continuous-Wave Radar Front-End Processing
20.10 Frequency-Modulated Continuous-Wave Pulse-Doppler Processing
20.11 Frequency-Modulated Continuous-Wave Radar Back-End Processing
20.12 Noncoherent Antenna Magnitude Summation
20.13 Cell Averaging-Constant False Alarm Rate
20.14 Ordered Sort-Constant False Alarm Rate
20.15 Angle of Arrival Estimation
21 - Space Time Adaptive Processing (STAP) Radar
21.1 Space Time Adaptive Processing Radar Concept
21.2 Steering Vector
21.3 Interference Covariance Matrix
21.4 Space Time Adaptive Processing Optimal Filter
21.5 Space Time Adaptive Processing Radar Computational Requirements
22 - Synthetic Array Radar
22.1 Introduction
22.2 Synthetic Array Radar Resolution
22.3 Pulse Compression
22.4 Azimuth Resolution
22.5 Synthetic Array Radar Processing
22.6 Synthetic Array Radar Doppler Processing
22.7 Synthetic Array Radar Impairments
23 - Introduction to Video Processing
23.1 Color Spaces
23.2 Interlacing
23.3 Deinterlacing
23.4 Image Resolution and Bandwidth
23.5 Chroma Scaling
23.6 Image Scaling and Cropping
23.7 Alpha Blending and Compositing
23.8 Video Compression
23.9 Digital Video Interfaces
23.10 Legacy Analog Video Interfaces
24 - DCT, Entropy, Predictive Coding, and Quantization
24.1 Discrete Cosine Transform
24.2 Entropy
24.3 Huffman Coding
24.4 Markov Source
24.5 Predictive Coding
24.6 Differential Encoding
24.7 Lossless Compression
24.8 Quantization.
24.9 Decibels
25 - Image and Video Compression Fundamentals
25.1 Baseline JPEG
25.2 DC Scaling
25.3 Quantization Tables
25.4 Entropy Coding
25.5 JPEG Extensions
25.6 Video Compression Basics
25.7 Block Size
25.8 Motion Estimation
25.9 Frame Processing Order
25.10 Compressing I Frames
25.11 Compressing P Frames
25.12 Compressing B Frames
25.13 Rate Control and Buffering
25.14 Quantization Scale Factor
26 - Introduction to Machine Learning
26.1 Convolutional Neural Networks
26.2 Convolution Layer
26.3 Rectified Linear Unit Layer
26.4 Normalization Layer
26.5 Max-Pooling Layer
26.6 Fully Connected Layer
26.7 Training Computational Neural Networks
26.8 Winograd Transform
26.9 Convolutional Neural Network Numerical Precision Requirements
27 - Implementation Using Digital Signal Processors
27.1 Digital Signal Processing Processor Architectural Enhancements
27.1.1 Data I/O Bandwidth
27.1.2 Core Processing
27.1.3 Multiple Cores or Hardware Coprocessors
27.2 Scalability
27.3 Floating Point
27.4 Design Methodology
27.5 Managing Resources
27.6 Ecosystem
28 - Implementation Using FPGAs
28.1 FPGA Design Methodology
28.2 DSP Processor or FPGA Choice
28.3 Design Methodology Considerations
28.4 Dedicated Digital Signal Processing Circuit Blocks in FPGAs
28.4.1 Adjustable Precision Multipliers
28.4.2 Accumulator
28.4.3 Postadder (Subtractor) and Distributed Adder
28.4.4 Preadder (Subtractor)
28.4.5 Coefficient Storage
28.4.6 Barrel Shifter
28.4.7 Rounding and Saturation
28.4.8 Arithmetic Logic Unit Operations and Boolean Operations
28.4.9 Specialty Operations
28.4.10 Tco and Fmax
28.5 Floating Point Implementation Using FPGAs
28.6 Ecosystem
28.7 Future Trends
29 - Implementation With GPUs.
29.1 Characteristics of Graphics Processing Unit Architecture.

Digital signal processing 101 everything you need to know to get started

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