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john w. woods - multidimensional signal, image and video processing and coding

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Từ khóa liên quan

Mục lục

Front cover
Title page
Date-line
Contents
Preface
1 Two-Dimensional Signals and Systems
- 1.1 Two-Dimensional Signals
  - 1.1.1 Separable Signals
  - 1.1.2 Periodic signals
  - 1.1.3 2-D Discrete-Space Systems
  - 1.1.4 Two-Dimensional Convolution
  - 1.1.5 Stability of 2-D Systems
  - 1.2 2-D Discrete-Space Fourier Transform
    - 1.2.1 Inverse 2-D Fourier Transform
    - 1.2.2 Fourier Transform of 2-D or Spatial Convolution
    - 1.2.3 Symmetry Properties of Fourier Transform
    - 1.2.4 Continuous-Space Fourier Transform
    - 1.3 Conclusions
    - 1.4 Problems
    - References
    - 2 Sampling in Two Dimensions
      - 2.1 Sampling TheoremRectangular Case
        2.1.1 Reconstruction Formula
        2.1.2 Ideal Rectangular Sampling
        2.2 Sampling TheoremGeneral Regular Case
        2.2.1 Hexagonal Reconstruction Formula

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john w. woods - multidimensional signal, image and video processing and coding

Thông tin tài liệu

Từ khóa liên quan

Mục lục

Front cover

Title page

Date-line

Contents

Preface

1 Two-Dimensional Signals and Systems

1.1 Two-Dimensional Signals

1.1.1 Separable Signals

1.1.2 Periodic signals

1.1.3 2-D Discrete-Space Systems

1.1.4 Two-Dimensional Convolution

1.1.5 Stability of 2-D Systems

1.2 2-D Discrete-Space Fourier Transform

1.2.1 Inverse 2-D Fourier Transform

1.2.2 Fourier Transform of 2-D or Spatial Convolution

1.2.3 Symmetry Properties of Fourier Transform

1.2.4 Continuous-Space Fourier Transform

1.3 Conclusions

1.4 Problems

References

2 Sampling in Two Dimensions

2.1 Sampling TheoremRectangular Case

2.1.1 Reconstruction Formula

2.1.2 Ideal Rectangular Sampling

2.2 Sampling TheoremGeneral Regular Case

2.2.1 Hexagonal Reconstruction Formula

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