Matlab Implementation in ZOOM FFT Technology Based on Analytic Signal and Band-Pass Filter

Yu Qing Zhao; Yong Hua Zhang; Yue Zhang

doi:10.4028/www.scientific.net/AMM.733.922

Paper Titles

Harmonic Analysis Based on Modified Hyperbolic S-Transform
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Statistical Inference and Application for Partially Linear Models
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Analysis of Extreme High-Temperature Time Series Based on Empirical Mode Decomposition
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The Kalman Filter Cuckoo Search Algorithm to Solve the TSP Problem
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Matlab Implementation in ZOOM FFT Technology Based on Analytic Signal and Band-Pass Filter
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Improved LSB Algorithm of Image Hiding Based on Randomness
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3D Model Retrieval Based on Distance Classification Histogram
p.931

Object-Based Multi-Feature Classification of High Spatial Resolution Remote Sensing Image
p.935

Adaptive Synchronization of a Stochastic Fractional-Order System
p.939

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 733Matlab Implementation in ZOOM FFT Technology Based...

Matlab Implementation in ZOOM FFT Technology Based on Analytic Signal and Band-Pass Filter

Abstract:

ZOOM FFT technology is widely used in signal processing and modal analysis, it can improve frequency resolution, and amplify the characteristic curve in selected regions, makes the frequency characteristic of the system more clearly shown. ZOOM FFT technology based on analytic signal and band-pass filter has greatly improved than traditional methods, provides a new way to virtual instrument based on computer platform. This article discusses the application of Matlab to achieve the ZOOM FFT.