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Digital signal and image processing using MATLAB. Volume 1, Fundamentals /
This fully revised and updated second edition presents the most important theoretical aspects of Image and Signal Processing (ISP) for both deterministic and random signals. The theory is supported by exercises and computer simulations relating to real applications. More than 200 programs and functi...
| Clasificación: | Libro Electrónico |
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| Autores principales: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London, England ; Hoboken, New Jersey :
ISTE : Wiley,
2014.
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| Edición: | Revised and updated second edition. |
| Colección: | Digital signal and image processing series.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Cover Page; Title Page; Copyright Page; Contents; Foreword; Basic concepts of DSIP; The sampling theorem; Numerical Sequences and DTFT; Filtering and Elements of Filter Design; An introduction to images; Random Processes; Spectral Estimation; The least squares; As a Conclusion; Notations and Abbreviations; Introduction to MATLAB; 1 Variables and constants; 1.1 Vectors and matrices; 1.2 Predefined matrices; 1.3 Constants and initialization; 1.4 Multidimensional arrays; 1.5 Cells and structures; 2 Operations and functions; 2.1 Matrix operations; 2.2 Pointwise operations.
- 2.3 Mathematical functions2.4 Matrix functions; 2.5 Searching elements using min, max, find, etc. functions; 2.6 Other useful functions; 3 Programming structures; 3.1 Logical operators on Boolean variables; 3.2 Program loops; 3.3 Functions; 4 Graphically displaying results; 4.1 2D display; 4.2 3D display; 4.3 Notes on plotting a curve; 4.4 Animations; 5 Converting numbers to character strings; 6 Input/output; 7 Program writing; 7.1 Developing and testing performances; 7.2 Various functions; 7.3 Using other languages; Part I: Deterministic Signals; Chapter 1: Signal Fundamentals.
- 1.1 The concept of signal1.1.1 A few signals; 1.1.2 Spectral representation of signals; 1. 2 The concept of system; 1.3 Summary; Chapter 2: Discrete Time Signals and Sampling; 2.1 Fundamentals of sampling; 2.1.1 The Poisson formula; 2.1.2 Perfect reconstruction; 2.1.3 Digital-to-analog conversion; 2.2 Plotting a signal as a function of time; 2.3 Spectral representation; 2.3.1 Discrete-time Fourier transform (DTFT); 2.3.2 Discrete Fourier transform (DFT); 2.3.3 Fast Fourier transform; Chapter 3: Spectral Observation; 3.1 Spectral accuracy and resolution.
- 3.1.1 Observation of a complex exponential3.1.2 Plotting accuracy of the DTFT; 3.1.3 Frequency resolution; 3.1.4 Effects of windowing on the resolution; 3.2 Short term Fourier transform; 3.3 Summing up; 3.4 Application examples and exercises; 3.4.1 Amplitude modulations; 3.4.2 Frequency modulation; Chapter 4: Linear Filters; 4.1 Definitions and properties; 4.2 The z-transform; 4.2.1 Definition and properties; 4.2.2 A few examples; 4.3 Transforms and linear filtering; 4.4 Difference equations and rational TF filters; 4.4.1 Stability considerations; 4.4.2 FIR and IIR filters.
- 4.4.3 Causal solution and initial conditions4.4.4 Calculating the responses; 4.4.5 Stability and the Jury test; 4.5 Connection between gain and poles/zeros; 4.6 Minimum phase filters; 4.6.1 All-pass filters; 4.6.2 Minimum phase filters; 4.7 Filter design methods; 4.7.1 Going from the continuous-time filter to the discrete-time filter; 4.7.2 FIR filter design using the window method; 4.7.3 IIR filter design; 4.8 Oversampling and undersampling; 4.8.1 Oversampling; 4.8.2 Undersampling; Chapter 5: An Introduction to Image Processing; 5.1 Introduction; 5.1.1 Image display, color palette.