A New Method for Fundamental Signal Extraction Based on Wavelet Transform
نویسندگان
چکیده
In this paper, a new method is proposed for improving the fundamental extraction by wavelet transform. This method uses the discrete wavelet transform (DWT), FIR filter and inverse discrete wavelet transform (IDWT). In the proposed method, frequency interference is allowed to occur at the extracted frequency bands by DWT. DWT output signal is filtered by FIR then the IDWT is used to reconstruct the filtered signal. This process improves the quality of extracted fundamental component and transient response. To verify the validity of the proposed method, the electric distribution system of electric arc furnaces (EAFs) of Mobarakeh Steel Company is simulated in MATLAB software. Finally the fundamental component of the voltage of point of common coupling (PCC) is extracted by proposed method and DWT and IDWT method.
منابع مشابه
Comparative Analysis of Wavelet-based Feature Extraction for Intramuscular EMG Signal Decomposition
Background: Electromyographic (EMG) signal decomposition is the process by which an EMG signal is decomposed into its constituent motor unit potential trains (MUPTs). A major step in EMG decomposition is feature extraction in which each detected motor unit potential (MUP) is represented by a feature vector. As with any other pattern recognition system, feature extraction has a significant impac...
متن کاملA New Method for Multisensor Data Fusion Based on Wavelet Transform in a Chemical Plant
This paper presents a new multi-sensor data fusion method based on the combination of wavelet transform (WT) and extended Kalman filter (EKF). Input data are first filtered by a wavelet transform via Daubechies wavelet “db4” functions and the filtered data are then fused based on variance weights in terms of minimum mean square error. The fused data are finally treated by extended Kalman filter...
متن کاملA Fast Localization and Feature Extraction Method Based on Wavelet Transform in Iris Recognition
With an increasing emphasis on security, automated personal identification based on biometrics has been receiving extensive attention. Iris recognition, as an emerging biometric recognition approach, is becoming a very active topic in both research and practical applications. In general, a typical iris recognition system includes iris imaging, iris liveness detection, and recognition. This rese...
متن کاملA New Algorithm for Voice Activity Detection Based on Wavelet Packets (RESEARCH NOTE)
Speech constitutes much of the communicated information; most other perceived audio signals do not carry nearly as much information. Indeed, much of the non-speech signals maybe classified as ‘noise’ in human communication. The process of separating conversational speech and noise is termed voice activity detection (VAD). This paper describes a new approach to VAD which is based on the Wavelet ...
متن کاملSubsea Free Span Pipeline Damage Detection Based on Wavelet Transform under Environmental Load
During their service life, marine pipelines continually accumulate damage as a result of the action of various environmental forces. Clearly, the development of robust techniques for early damage detection is very important to avoid the possible occurrence of a disastrous structural failure. Most of vibration-based damage detection methods require the modal properties that are obtained from mea...
متن کامل