Fourier transform- signal processing /
edited by Olga Moreira.
- Oakville, Ontario : Arcler Press, c2018.
- xxii, 253 pages : color illustrations
To access the E-Book : https://www.bibliotex.com/ (Log-in/Register is required).
Includes bibliographical references and index.
Chapter 1: Seven Pivotal Theorems of Fourier Analysis, Signal Analysis, Numerical Analysis and Number Theory
Chapter 2: Henstock-Kurzweil Integral Transforms and the Riemann-Lebesgue Lemma
Chapter 3: Generalization of Interpolation DFT Algorithms and Frequency Estimators With High Image Component Interference Rejection
Chapter 4: Vectorial Signatures for Pattern Recognition
Chapter 5: Fourier Transform-Based Color Space for Optical Microscopic Image Processing
Chapter 6: Joint Multiband Signal Detection and Cyclic Spectrum Estimation From Compressive Samples
Chapter 7: Speech Steganography Using Wavelet and Fourier Transforms
Chapter 8: Time-Varying Bispectral Analysis of Visually Evoked Multi-Channel Eeg
Chapter 9: Nonstationary Signal in Radar Signal Processing
Chapter 10: Uncertainty Principle of the Local Polynomial Fourier Transform
Chapter 11: Separation and Localization of Multiple Distributed Wideband Chirps Using the Fractional Fourier Transform
Chapter 12: Quantum and Classical Discrete Fractional Fourier Transforms
Chapter 13: Fractional Fourier Transform Analysis
Chapter 14: Simplified Fractional Fourier Transform
Chapter 15: Modified S-Transform For Time-Frequency Synchrony Analysis
Chapter 16: Design of Warped Stretch Transform
Chapter 17: The Use of Continuous Wavelet Transform Based on the Fast Fourier Transform in the Analysis of Multi-Channel Electrogastrography Recordings
Chapter 18: Comparative Study of New Signal Processing to Improve S/N Ratio of Seismic Data
The Fourier Transform is a tool that breaks a waveform (a function or signal) into an alternate representation, characterized by sine and cosines. The Fourier Transform shows that any waveform can be re-written as the sum of sinusoidal functions. This book presents an introduction to the principles of the fast Fourier transform. The book covers topics of FFTs, frequency domain filtering, and applications to video and audio signal processing. This authoritative book provides comprehensive coverage of practical Fourier analysis.
In English text.
Signal processing--Digital techniques.
EBOP TK 5102.5 / F68 2018
To access the E-Book : https://www.bibliotex.com/ (Log-in/Register is required).
Includes bibliographical references and index.
Chapter 1: Seven Pivotal Theorems of Fourier Analysis, Signal Analysis, Numerical Analysis and Number Theory
Chapter 2: Henstock-Kurzweil Integral Transforms and the Riemann-Lebesgue Lemma
Chapter 3: Generalization of Interpolation DFT Algorithms and Frequency Estimators With High Image Component Interference Rejection
Chapter 4: Vectorial Signatures for Pattern Recognition
Chapter 5: Fourier Transform-Based Color Space for Optical Microscopic Image Processing
Chapter 6: Joint Multiband Signal Detection and Cyclic Spectrum Estimation From Compressive Samples
Chapter 7: Speech Steganography Using Wavelet and Fourier Transforms
Chapter 8: Time-Varying Bispectral Analysis of Visually Evoked Multi-Channel Eeg
Chapter 9: Nonstationary Signal in Radar Signal Processing
Chapter 10: Uncertainty Principle of the Local Polynomial Fourier Transform
Chapter 11: Separation and Localization of Multiple Distributed Wideband Chirps Using the Fractional Fourier Transform
Chapter 12: Quantum and Classical Discrete Fractional Fourier Transforms
Chapter 13: Fractional Fourier Transform Analysis
Chapter 14: Simplified Fractional Fourier Transform
Chapter 15: Modified S-Transform For Time-Frequency Synchrony Analysis
Chapter 16: Design of Warped Stretch Transform
Chapter 17: The Use of Continuous Wavelet Transform Based on the Fast Fourier Transform in the Analysis of Multi-Channel Electrogastrography Recordings
Chapter 18: Comparative Study of New Signal Processing to Improve S/N Ratio of Seismic Data
The Fourier Transform is a tool that breaks a waveform (a function or signal) into an alternate representation, characterized by sine and cosines. The Fourier Transform shows that any waveform can be re-written as the sum of sinusoidal functions. This book presents an introduction to the principles of the fast Fourier transform. The book covers topics of FFTs, frequency domain filtering, and applications to video and audio signal processing. This authoritative book provides comprehensive coverage of practical Fourier analysis.
In English text.
Signal processing--Digital techniques.
EBOP TK 5102.5 / F68 2018