155 results on '"SAMPLING theorem"'
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2. Chapter 10: Introduction to Digital Signal Processing
3. The Fourier Transform
4. Sampling and Reconstruction
5. Sampling of Non-flat Morphology for Grey Value Images
6. Control Applications in Audio Reproduction
7. Signal Contents
8. Filter Circuits: Frequency Response, Bode Plots, and Fourier Transform
9. Discrete Signals and Linear Systems
10. Adjoint Fuzzy Partition and Generalized Sampling Theorem
11. Sampling of Continuous-Time Signals
12. Sampling and Discrete Linear Canonical Transforms
13. Linear Canonical Domains and Degrees of Freedom of Signals and Systems
14. Filter Circuits: Frequency Response, Bode Plots, and Fourier Transform
15. Key System Concepts
16. A Taste of Linear System Theory and Signal Processing
17. Control Applications in Audio Reproduction
18. Entire Functions in Generalized Bernstein Spaces and Their Growth Behavior
19. Recent Advances in Compressive Sensing
20. Sampling Theorem and Discrete Fourier Transform
21. Early Contributions from the Aachen School to Dyadic Walsh Analysis with Applications to Dyadic PDEs and Approximation Theory
22. Scale Factor Point Spread Function Matching: Beyond Aliasing in Image Resampling
23. Some Cornerstones of Signal Analysis History
24. Bitwise Quantum Min-Entropy Sampling and New Lower Bounds for Random Access Codes
25. Sampling Theorem
26. Miscellaneous issues
27. Fourier Time-Frequency Methods
28. Digitization and Discrete Systems
29. Function Spaces for Sampling Expansions
30. Basic Theory of Digital Signal Processing
31. The Characters of Two-Directional Vector-Valued Poly-Scale Small-Wave Wraps with Finite Support
32. Discrete Time-Frequency Analysis and Sampling
33. Sampling, Weighted Exponentials, and Translations
34. Sampling Theorem
35. A Taste of Linear System Theory and Signal Processing
36. Unified Theory: Sampling and Interpolation
37. Classical Signal Theory
38. Collocation and Least Squares Methods
39. Signal Representation of Speech
40. Wavelets on the Sphere
41. Why Is Scale an Effective Descriptor for Data Quality? The Physical and Ontological Rationale for Imprecision and Level of Detail
42. Sampling and Reconstruction
43. Why 44100 Samples per Second
44. Sampling and Time-Frequency Localization of Band-Limited and Multiband Signals
45. What Can We Learn from Discrete Images about the Continuous World?
46. X-ray Tomography
47. Fundamentals of Signal Processing
48. Improvement of MR Image Resolution by Single Coil Multiple Image Reconstruction Technique
49. Anti-alias Image Reconstruction using Phase Scrambling Imaging Technique
50. Time-Frequency Aspects of Nonlinear Fourier Atoms
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