Capítulos en pdf
todo,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34
Capítulos en html:
http://www.dspguide.com/pdfbook.htm
Índice del libro
- 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 Conversion
- Selecting 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 Linearity
- Chapter 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 DFT
- Spectral 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 DFT
- How 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 Convolution
- Noise Reduction vs. Step Response
- Frequency Response
- Relatives of the Moving Average Filter
- Recursive Implementation
- Chapter 16 – Windowed-Sinc Filters
- Strategy of the Windowed-Sinc
- Designing the Filter
- Examples of Windowed-Sinc Filters
- Pushing it to the Limit
- Chapter 17 – Custom Filters
- Arbitrary Frequency Response
- Deconvolution
- Optimal Filters
- Chapter 18 – FFT Convolution
- The Overlap-Add Method
- FFT Convolution
- Speed Improvements
- Chapter 19 – Recursive Filters
- The Recursive Method
- Single Pole Recursive Filters
- Narrow-band Filters
- Phase Response
- Using Integers
- Chapter 20 – Chebyshev Filters
- The Chebyshev and Butterworth Responses
- Designing the Filter
- Step Response Overshoot
- Stability
- Chapter 21 – Filter Comparison
- Match #1: Analog vs. Digital Filters
- Match #2: Windowed-Sinc vs. Chebyshev
- Match #3: Moving Average vs. Single Pole
- Chapter 22 – Audio Processing
- Human Hearing
- Timbre
- Sound Quality vs. Data Rate
- High Fidelity Audio
- Companding
- Speech Synthesis and Recognition
- Nonlinear Audio Processing
- Chapter 23 – Image Formation & Display
- Digital Image Structure
- Cameras and Eyes
- Television Video Signals
- Other Image Acquisition and Display
- Brightness and Contrast Adjustments
- Grayscale Transforms
- Warping
- Chapter 24 – Linear Image Processing
- Convolution
- 3×3 Edge Modification
- Convolution by Separability
- Example of a Large PSF: Illumination Flattening
- Fourier Image Analysis
- FFT Convolution
- A Closer Look at Image Convolution
- Chapter 25 – Special Imaging Techniques
- Spatial Resolution
- Sample Spacing and Sampling Aperture
- Signal-to-Noise Ratio
- Morphological Image Processing
- Computed Tomography
- Chapter 26 – Neural Networks (and more!)
- Target Detection
- Neural Network Architecture
- Why Does it Work?
- Training the Neural Network
- Evaluating the Results
- Recursive Filter Design
- Chapter 27 – Data Compression
- Data Compression Strategies
- Run-Length Encoding
- Huffman Encoding
- Delta Encoding
- LZW Compression
- JPEG (Transform Compression)
- MPEG
- Chapter 28 – Digital Signal Processors
- How DSPs are Different from Other Microprocessors
- Circular Buffering
- Architecture of the Digital Signal Processor
- Fixed versus Floating Point
- C versus Assembly
- How Fast are DSPs?
- The Digital Signal Processor Market
- Chapter 29 – Getting Started with DSPs
- The ADSP-2106x family
- The SHARC EZ-KIT Lite
- Design Example: An FIR Audio Filter
- Analog Measurements on a DSP System
- Another Look at Fixed versus Floating Point
- Advanced Software Tools
- Chapter 30 – Complex Numbers
- The Complex Number System
- Polar Notation
- Using Complex Numbers by Substitution
- Complex Representation of Sinusoids
- Complex Representation of Systems
- Electrical Circuit Analysis
- Chapter 31 – The Complex Fourier Transform
- The Real DFT
- Mathematical Equivalence
- The Complex DFT
- The Family of Fourier Transforms
- Why the Complex Fourier Transform is Used
- Chapter 32 – The Laplace Transform
- The Nature of the s-Domain
- Strategy of the Laplace Transform
- Analysis of Electric Circuits
- The Importance of Poles and Zeros
- Filter Design in the s-Domain
- Chapter 33 – The z-Transform
- The Nature of the z-Domain
- Analysis of Recursive Systems
- Cascade and Parallel Stages
- Spectral Inversion
- Gain Changes
- Chebyshev-Butterworth Filter Design
- The Best and Worst of DSP
- Chapter 34 – Explaining Benford’s Law
- Frank Benford’s Discovery
- Homomorphic Processing
- The Ones Scaling Test
- Writing Benford’s Law as a Convolution
- Solving in the Frequency Domain
- Solving Mystery #1
- Solving Mystery #2
- More on Following Benford’s law
- Analysis of the Log-Normal Distribution
- The Power of Signal Processing