Discrete Wavelet Transforms for Synchronization of Power
... (Ponci et al., 2009) for detection of the operation mode of the power converter, consisting on an extension of conventional analysis techniques based on state-space averaging. A model of a dc/ac converter based on wavelets is obtained in (Gandelli et al., 2002) in order to perform a detailed analysi ...
... (Ponci et al., 2009) for detection of the operation mode of the power converter, consisting on an extension of conventional analysis techniques based on state-space averaging. A model of a dc/ac converter based on wavelets is obtained in (Gandelli et al., 2002) in order to perform a detailed analysi ...
(I) Fourier Sine Transform
... Instead, Fourier Cosine transform should be used. [Exercise: In this case, try to work out the detail of Fourier Cosine transform for the counterparts of Eqs. (5) and (9).] (ii) In Example 1, unless P(x) is exceedingly simple, the integral in Eq. (9) usually cannot be further reduced to a closed-for ...
... Instead, Fourier Cosine transform should be used. [Exercise: In this case, try to work out the detail of Fourier Cosine transform for the counterparts of Eqs. (5) and (9).] (ii) In Example 1, unless P(x) is exceedingly simple, the integral in Eq. (9) usually cannot be further reduced to a closed-for ...
Classical Quantum
... with a complex argument s. This transformation is essentially bijective for the majority of practical uses; the respective pairs of f(t) and F(s) are matched in tables. The Laplace transform has the useful property that many relationships and operations over the originals f(t) correspond to simpler ...
... with a complex argument s. This transformation is essentially bijective for the majority of practical uses; the respective pairs of f(t) and F(s) are matched in tables. The Laplace transform has the useful property that many relationships and operations over the originals f(t) correspond to simpler ...
Document
... You can use the ztrans() function which is part of the symbolic toolbox. It evaluates signals x[n]u[n], i.e. for non-negative values of n. syms k n w z ztrans(2^n) % returns z/(z-2) ztrans(0.5^n) % returns z/(z-0.5) ztrans(sin(k*n),w) ...
... You can use the ztrans() function which is part of the symbolic toolbox. It evaluates signals x[n]u[n], i.e. for non-negative values of n. syms k n w z ztrans(2^n) % returns z/(z-2) ztrans(0.5^n) % returns z/(z-0.5) ztrans(sin(k*n),w) ...
FFT Convolution
... time interval sj , rk is discrete set of numbers corresponds to response function then rk tells what multiple of the input signal is copied into identical output channel. Therefore, the discrete convolution with response function of finite duration M is given by ...
... time interval sj , rk is discrete set of numbers corresponds to response function then rk tells what multiple of the input signal is copied into identical output channel. Therefore, the discrete convolution with response function of finite duration M is given by ...
- International Burch University
... different noise sources. The different methods incorporating signal-processing method such as wavelets and Short Time Fourier Transform are proposed for failure identification. It is now possible to distinguish failure during lightning tests as well as chopped lightning impulse tests. The method is ...
... different noise sources. The different methods incorporating signal-processing method such as wavelets and Short Time Fourier Transform are proposed for failure identification. It is now possible to distinguish failure during lightning tests as well as chopped lightning impulse tests. The method is ...
Key_P1 - Weber State University
... with time-delay (time delay t=phase ϕ/(360*frequency f)). Linear phase indicates that there is going to be same time delay for all the frequencies, since t will be the same. This allows for all the harmonics to be delayed by the same amount 360 f which is important for processing an input ...
... with time-delay (time delay t=phase ϕ/(360*frequency f)). Linear phase indicates that there is going to be same time delay for all the frequencies, since t will be the same. This allows for all the harmonics to be delayed by the same amount 360 f which is important for processing an input ...
Discrete time Fourier transform and its Properties
... In the previous lecture we defined digital signal processing and understood its features. The general procedure is to convert the Continuous Time signal into Discrete Time signal. Then we try to obtain back the original signal. In this lecture we will study the concepts of Discrete time Fourier Tran ...
... In the previous lecture we defined digital signal processing and understood its features. The general procedure is to convert the Continuous Time signal into Discrete Time signal. Then we try to obtain back the original signal. In this lecture we will study the concepts of Discrete time Fourier Tran ...
AN ARCHITECTURE FOR COMPRESSIVE IMAGING
... CS builds upon a core tenet of signal processing and information theory: that signals, images, and other data often contain some type of structure that enables intelligent representation and processing. Current state-of-the-art compression algorithms employ a decorrelating transform to compact a cor ...
... CS builds upon a core tenet of signal processing and information theory: that signals, images, and other data often contain some type of structure that enables intelligent representation and processing. Current state-of-the-art compression algorithms employ a decorrelating transform to compact a cor ...
Experimental electrophysiology and ventricular fibrillation
... or no blood, and the result is ventricular fibrillation (or VF). Often, ventricular fibrillation has deadly consequences, and in humans, can only be halted with emergency medical action. It is estimated that over 300,000 Americans alone die as the result of ventricular fibrillation. Despite its wide ...
... or no blood, and the result is ventricular fibrillation (or VF). Often, ventricular fibrillation has deadly consequences, and in humans, can only be halted with emergency medical action. It is estimated that over 300,000 Americans alone die as the result of ventricular fibrillation. Despite its wide ...
SECTION-4-Chapter 12
... easy. As an alternative, the barrier may be inserted after step 4, when the signal is digital. The entire measurement system is then allowed to float at the potential of the power system. 3. Conditioning. Analog to digital converters (ADCs) require a voltage input signal. Precision shunt resistance ...
... easy. As an alternative, the barrier may be inserted after step 4, when the signal is digital. The entire measurement system is then allowed to float at the potential of the power system. 3. Conditioning. Analog to digital converters (ADCs) require a voltage input signal. Precision shunt resistance ...
INTRODUCTION - KFUPM Faculty List
... signal by performing inner products with a collection of running analysis functions. For the WFT, the signal is decomposed into a summation of periodic and sinusoidal function. The time and frequency resolution are both fixed. That makes this approach particularly suitable for the analysis of signa ...
... signal by performing inner products with a collection of running analysis functions. For the WFT, the signal is decomposed into a summation of periodic and sinusoidal function. The time and frequency resolution are both fixed. That makes this approach particularly suitable for the analysis of signa ...
A New Harmonic Detection Method for Shunt Active
... J. Appl. Sci. Res., 4(11): 1561-1568, 2008 According to the proposed method, the three phase nonsinusoidal load current is transferred to the dqframe. It must be pointed out that the waveletwindowing based method is trying to be a low pass filter with high accuracy and fast transient response towar ...
... J. Appl. Sci. Res., 4(11): 1561-1568, 2008 According to the proposed method, the three phase nonsinusoidal load current is transferred to the dqframe. It must be pointed out that the waveletwindowing based method is trying to be a low pass filter with high accuracy and fast transient response towar ...
Basis Functions
... function is the eigen function of the circuit, we will find that at every point in the circuit, both the current and voltage will have the same functional form. That is, every current and voltage in the circuit will likewise be a perfect sinusoid with frequency o !! Of course, the magnitude of the ...
... function is the eigen function of the circuit, we will find that at every point in the circuit, both the current and voltage will have the same functional form. That is, every current and voltage in the circuit will likewise be a perfect sinusoid with frequency o !! Of course, the magnitude of the ...
INTRODUCTION
... obtained by dilation of a single (bandpass) wavelet. CWT uses short windows at high frequencies and long windows at low frequencies. This property enables the CWT to “zoom in” on discontinuous and makes it very attractive for the analysis of transient signals. The following figures are illustration ...
... obtained by dilation of a single (bandpass) wavelet. CWT uses short windows at high frequencies and long windows at low frequencies. This property enables the CWT to “zoom in” on discontinuous and makes it very attractive for the analysis of transient signals. The following figures are illustration ...
Early Detection of Stator Voltage Imbalance in Three-Phase Induction Motors,
... • Preprocessing of observed time series data using wavelet analysis [15] and Parks vector representation [16]; • Pattern Classification based on the preprocessed data sets. The paper is organized in six sections including the present one. The basic characteristics of fault signatures due to voltage i ...
... • Preprocessing of observed time series data using wavelet analysis [15] and Parks vector representation [16]; • Pattern Classification based on the preprocessed data sets. The paper is organized in six sections including the present one. The basic characteristics of fault signatures due to voltage i ...
IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE) ISSN: 2278-1676
... The Proposed study introduces a voltage detection scheme for Power Quality applications. The scheme is based on Wavelet Transform. With the Simulation of IEEE 5 BUS system Capacitor Switching Circuit and LG Fault circuit in PSCAD and further analysis in MATLAB. Energy of the Transient produced due t ...
... The Proposed study introduces a voltage detection scheme for Power Quality applications. The scheme is based on Wavelet Transform. With the Simulation of IEEE 5 BUS system Capacitor Switching Circuit and LG Fault circuit in PSCAD and further analysis in MATLAB. Energy of the Transient produced due t ...
Low-Power System for Detection of Symptomatic Patterns in Audio
... Patterns in Audio Biological Signals Abstract: In this paper, we present a low-power, efficacious, and scalable system for the detection of symptomatic patterns in biological audio signals. The digital audio recordings of various symptoms, such as cough, sneeze, and so on, are spectrally analyzed us ...
... Patterns in Audio Biological Signals Abstract: In this paper, we present a low-power, efficacious, and scalable system for the detection of symptomatic patterns in biological audio signals. The digital audio recordings of various symptoms, such as cough, sneeze, and so on, are spectrally analyzed us ...
Mitigation and Analysis of Very Fast Transient over
... These conditions allow the wavelet transform to translate a time-domain function into a representation that is localized both in time (shift or translation) and in frequency (scale or dilation). The time-frequency is used to describe this type of multi resolution analysis. The selection of the mothe ...
... These conditions allow the wavelet transform to translate a time-domain function into a representation that is localized both in time (shift or translation) and in frequency (scale or dilation). The time-frequency is used to describe this type of multi resolution analysis. The selection of the mothe ...
IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE)
... Fourier analysis breaks down a signal into constituent sinusoids of different frequencies. Fourier analysis is as a mathematical technique for transforming our view of the signal from a time-based one to a frequency based one. In Fourier analysis signal is transforming to the frequency domain, time ...
... Fourier analysis breaks down a signal into constituent sinusoids of different frequencies. Fourier analysis is as a mathematical technique for transforming our view of the signal from a time-based one to a frequency based one. In Fourier analysis signal is transforming to the frequency domain, time ...
Title should be like this A P Robinson1, P L Lewin1, S
... demonstrates different energy distributions depending on measurement point. Hence this analysis produces a 10 dimensional feature vector for each captured discharge signal. PCA will be used to compress the 10d energy vector into a three dimensional representation. ...
... demonstrates different energy distributions depending on measurement point. Hence this analysis produces a 10 dimensional feature vector for each captured discharge signal. PCA will be used to compress the 10d energy vector into a three dimensional representation. ...
Over current and over voltage protection of permanent
... shift position, and then the rotor moves to catch up with the stator field. In Each commutation sequence, one of the windings energized to positive power (current enters into the winding), the second winding is energized to negative power (current exits the winding) and the third is in a nonenergize ...
... shift position, and then the rotor moves to catch up with the stator field. In Each commutation sequence, one of the windings energized to positive power (current enters into the winding), the second winding is energized to negative power (current exits the winding) and the third is in a nonenergize ...
A Novel Three-Phase and Four
... DG can be utilized to improve the power quality, minimize peak loads, mitigate the voltage flicker, to displace the need to build new or upgrade existing local distribution lines, eliminate the need for high spinning reserve, and enhance the power system reliability and security. [1-3]. Most DGs us ...
... DG can be utilized to improve the power quality, minimize peak loads, mitigate the voltage flicker, to displace the need to build new or upgrade existing local distribution lines, eliminate the need for high spinning reserve, and enhance the power system reliability and security. [1-3]. Most DGs us ...
Removal of Interferences from Partial Discharge Pulses
... Sensitivity and reliability of PD measurements are affected by ingress of various external interferences, and achieving acceptable levels of detection and sensitivity is many times not possible, as there are many sources of interferences of high magnitude even inside a well shielded laboratory. The ...
... Sensitivity and reliability of PD measurements are affected by ingress of various external interferences, and achieving acceptable levels of detection and sensitivity is many times not possible, as there are many sources of interferences of high magnitude even inside a well shielded laboratory. The ...
Wavelet
A wavelet is a wave-like oscillation with an amplitude that begins at zero, increases, and then decreases back to zero. It can typically be visualized as a ""brief oscillation"" like one might see recorded by a seismograph or heart monitor. Generally, wavelets are purposefully crafted to have specific properties that make them useful for signal processing. Wavelets can be combined, using a ""reverse, shift, multiply and integrate"" technique called convolution, with portions of a known signal to extract information from the unknown signal.For example, a wavelet could be created to have a frequency of Middle C and a short duration of roughly a 32nd note. If this wavelet was to be convolved with a signal created from the recording of a song, then the resulting signal would be useful for determining when the Middle C note was being played in the song. Mathematically, the wavelet will correlate with the signal if the unknown signal contains information of similar frequency. This concept of correlation is at the core of many practical applications of wavelet theory.As a mathematical tool, wavelets can be used to extract information from many different kinds of data, including – but certainly not limited to – audio signals and images. Sets of wavelets are generally needed to analyze data fully. A set of ""complementary"" wavelets will decompose data without gaps or overlap so that the decomposition process is mathematically reversible. Thus, sets of complementary wavelets are useful in wavelet based compression/decompression algorithms where it is desirable to recover the original information with minimal loss.In formal terms, this representation is a wavelet series representation of a square-integrable function with respect to either a complete, orthonormal set of basis functions, or an overcomplete set or frame of a vector space, for the Hilbert space of square integrable functions.