Abstract:
Systems and methods for obtaining optimal mother wavelets for facilitating machine learning tasks. The traditional systems and methods provide for selecting a mother wavelet and signal classification using some traditional techniques and methods but none them provide for selecting an optimal mother wavelet to facilitate machine learning tasks. Embodiments of the present disclosure provide for obtaining an optimal mother wavelet to facilitate machine learning tasks by computing values of energy and entropy based upon labelled datasets and a probable set of mother wavelets, computing values of centroids and standard deviations based upon the values of energy and entropy, computing a set of distance values and normalizing the set of distance values and obtaining the optimal mother wavelet based upon the set of distance values for performing a wavelet transform and further facilitating machine learning tasks by classifying or regressing, a new set of signal classes, corresponding to a new set of signals.
Abstract:
The present invention relates to improved systems and methods of image processing and more particularly to improved systems and method of image processing using modified image data to produce enhanced data and images using fewer processing cycles and lower system power.
Abstract:
The invention relates to methods, devices, systems and computer program products where input image data is received for processing in a computer system, a first transform is carried out to the input image data, the transform being done in a first direction with respect to the input image data, to obtain first transformed image data, a transposing operation is carried out to the first transformed image data to obtain first transposed image data, and a second transform in a transform is carried out to the first transposed image data, the second transform being done in a second direction with respect to the input image data, to obtain second transformed image data. The first transform and the second transform may be carried out in a processor in a parallel manner, and the transposing operation may be carried out at least partially using registers of the processor.
Abstract:
A method specially designed for detecting events associated with partial discharges (PDs) in high voltage cables includes the identification of the location and the evaluation of the amplitude and rate of repetition per period of the grid voltage, with the possibility of identifying different sources producing PD signals as a function of the location thereof and recognising the type of defect associated with PDs in the same location. Generated electric signals are measured and the discriminated in relation to the background noise. A system for carrying out the method includes devices for discriminating the noise in relation to the transient waveform of the PD, determining the parameters associated therewith, determining the map of sources of PDs along the length of the cable, graphically representing the sources, and identifying the patterns of the sources of PDs separated as a function of the location thereof along the length of the cable.
Abstract:
A method and apparatus for profiling and identifying the source of a signal is provided. A first method includes receiving a signal produced by a known source and creating a matrix of wavelet coefficients corresponding to a wavelet transform of the signal. The method also includes profiling the signal according to an output of a wavelet transform utilizing a particular base function and a particular scale set. A second method includes performing a wavelet transform having a particular profile on a received signal and determining the presence of a particular signal-producing entity as a function of wavelet coefficients exceeding a threshold. An apparatus includes a receiver configured to receive a signal and a processor coupled to the receiver, such that the processor is configured to perform wavelet transforms on the signals. A database is coupled to the processor and configured to store wavelet transform profiles.
Abstract:
In one embodiment, a method for reducing signal noise and generating features includes the steps of receiving a discrete signal, transforming the discrete signal, using a processor, into a non-linear feature space, classifying the non-linear feature space, using the processor, into a set of non-linear feature sub-spaces, and performing a mathematical operation, using the processor, on the non-linear feature space and the set of non-linear feature sub-spaces, to produce an output feature set.
Abstract:
A method specially designed for detecting events associated with partial discharges (PDs) in high voltage cables includes the identification of the location and the evaluation of the amplitude and rate of repetition per period of the grid voltage, with the possibility of identifying different sources producing PD signals as a function of the location thereof and recognising the type of defect associated with PDs in the same location. Generated electric signals are measured and the discriminated in relation to the background noise. A system for carrying out the method includes devices for discriminating the noise in relation to the transient waveform of the PD, determining the parameters associated therewith, determining the map of sources of PDs along the length of the cable, graphically representing the sources, and identifying the patterns of the sources of PDs separated as a function of the location thereof along the length of the cable.
Abstract:
An inverse wavelet transformer causes a level-graded buffer to store one of two lines of coefficient data generated through a synthesis filtering operation. In order to adjust an output timing of image data, the inverse wavelet transformer causes an output buffer to store temporarily the other line of the two lines of coefficient data in a period throughout which the output buffer stores no baseband image data and then causes the level-graded buffer to store the other line of the two lines of coefficient data. In this way, the level-graded buffer stores coefficients generated through the synthesis filtering operation on a line-by-line basis.
Abstract:
The invention relates to a method for filtering measurement signals by way of wavelet filtering, wherein the signals are first transferred to the wavelet domain by way of a wavelet transform, are subjected to threshold analysis, and the threshold values can then be varied in the wavelet domain commensurate with the respective measurement situation. The measurement signals are filtered by a plurality of filters arranged in segmentation levels and a statistical parameter is calculated based on an adjustable number of already calculated wavelet coefficients of a segmentation level and is then multiplied with a value that can be adjusted.
Abstract:
A method for performing a domain transformation of a digital signal from the time domain into the frequency domain and vice versa, the method including performing the transformation by a transforming element, the transformation element comprising a plurality of lifting stages, wherein the transformation corresponds to a transformation matrix and wherein at least one lifting stage of the plurality of lifting stages comprises at least one auxiliary transformation matrix and a rounding unit, the auxiliary transformation matrix comprising the transformation matrix itself or the corresponding transformation matrix of lower dimension. The method further comprising performing a rounding operation of the signal by the rounding unit after the transformation by the auxiliary transformation matrix.