scholarly journals On the complementarity of short-time fourier analysis windows of different lengths for improved language recognition

2014 ◽  
Author(s):  
Mireia Diez ◽  
Mikel Penagarikano ◽  
German Bordel ◽  
Amparo Varona ◽  
Luis Javier Rodriguez-Fuentes
Keyword(s):  
Fourier Analysis ◽  
Language Recognition ◽  
Short Time

Fault Diagnosis of Wet-Shift Clutch Based on STFT and Wavelet

2011 ◽  
Vol 301-303 ◽  
pp. 1560-1567 ◽  
Author(s):  
Man Chen ◽  
Biao Ma
Keyword(s):  
Fault Diagnosis ◽  
Fourier Analysis ◽  
Wavelet Decomposition ◽  
Pulse Signal ◽  
Background Signal ◽  
Vibration Signals ◽  
Diagnosis Method ◽  
Friction Plate ◽  
Short Time ◽  
Shift Clutch

The paper analyzes the failure mechanism of the wet shifting clutch, and puts forward the concept that the deformation of the clutch friction plate leads to the irregular collision between the driving and driven sides of disengaged clutch and accordingly forms the transient pulse signal; the short-time Fourier analysis on the vibration signals of failed clutch obtained via test proves such concept. The transient pulse signal in the relatively strong background signal is clearly extracted through the wavelet decomposition after zero setting, and an efficient wet shifting clutch fault diagnosis method is hereby formed.

Time-frequency analysis of heart rate variability using short-time Fourier analysis

2000 ◽  
Vol 21 (2) ◽  
pp. 229-240 ◽  
Author(s):  
Sigrid Elsenbruch ◽  
Zhishun Wang ◽  
William C Orr ◽  
J D Z Chen
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Fourier Analysis ◽  
Frequency Analysis ◽  
Time Frequency Analysis ◽  
Time Frequency ◽  
Short Time

Short-time Fourier analysis via optimal harmonic FIR filters

1997 ◽  
Vol 45 (6) ◽  
pp. 1535-1542 ◽  
Author(s):  
Sang Hwan Park ◽  
Wook Hyun Kwon ◽  
Oh Kyu Kwon ◽  
Myung-Joon Kim
Keyword(s):  
Fourier Analysis ◽  
Fir Filters ◽  
Short Time

scholarly journals Analysis of Teeline Shorthand Recognition using Machine Learning and Deep Learning Techniques.

2020 ◽  
Vol 9 (4) ◽  
pp. 2133-2138
Keyword(s):  
Machine Learning ◽  
Deep Learning ◽  
Recognition System ◽  
Machine Learning Techniques ◽  
Handheld Devices ◽  
Original Text ◽  
Language Recognition ◽  
Learning Techniques ◽  
Learning Technique ◽  
Short Time

In order to take notes of the speech delivered by the VIPs in the short time short hand language is employed. Mainly there are two shorthand languages namely Pitman and Teeline. An automatic shorthand language recognition system is essential in order to make use of the handheld devices for speedy conversion to the original text. The paper addresses and compares the recognition of the Teeline alphabets using the Machine learning (SVM and KNN) and deep learning (CNN) techniques. The dataset has been prepared using the digital pen and the same is processed and stored using the android application. The prepared dataset is fed to the proposed system and accuracy of recognition is compared. Deep learning technique gave higher accuracy compared to machine learning techniques. MATLAB 2018b platform is used for implementation of the experimental setup.

scholarly journals Efficient FPGA-Based Architecture of the Overlap-Add Method for Short-Time Fourier Analysis/Synthesis

Electronics ◽  
2019 ◽  
Vol 8 (12) ◽  
pp. 1533 ◽  
Author(s):  
Mohammed Bahoura
Keyword(s):  
Fourier Analysis ◽  
Field Programmable Gate Array ◽  
Original Signal ◽  
Programming Tool ◽  
Objective Metrics ◽  
Field Programmable ◽  
Signal Processing Algorithms ◽  
Processing Algorithms ◽  
High Level ◽  
Short Time

This paper proposes a simple and efficient FPGA-based architecture of the overlapping/windowing and overlap-add methods for real-time FFT/IFFT-based signal processing algorithms. The analyzed signal is divided into short-time overlapping frames that are windowed before applying Fourier analysis/synthesis. Then, the original signal is reconstructed from the windowed (modified) frames using the overlap-add (OLA) technique. The proposed architecture was implemented on Field Programmable Gate Array (FPGA) using a high-level programming tool in MATLAB/SIMULINK environment. Its performance was evaluated on artificial and actual signals using objective metrics.

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