| Patent application number | Description | Published |
| 20090187363 | Method for optimization of a frequency spectrum - A method for optimization of a frequency spectrum includes the following steps: sampling a time domain signal to obtain an initial sampling signal based upon a first subset of sample points; transforming the initial sampling signal to a frequency domain signal; determining a frequency parameter and an amplitude parameter for each of harmonic components of the frequency domain signal; establishing a leakage energy equation and a graduation shifting quantity; determining an optimum number of sample points that will result in minimum leakage energy; obtaining an adjusted sampling signal based on a second subset of the sample points, wherein the number of the sample points in the second subset is equal to the optimum number; and transforming the adjusted sampling signal to an optimized frequency domain signal having harmonic components associated with graduations of an optimized frequency spectrum, wherein the graduations are calculated based upon the graduation shifting quantity. | 07-23-2009 |
| 20090259706 | Method for establishing a simulating signal suitable for estimating a complex exponential signal - A method for establishing a simulating signal suitable for estimating a complex exponential signal includes the following computer-implemented steps: sampling a time domain signal of a physical system to obtain a sampling signal; transforming the sampling signal to a frequency domain signal using Fast Fourier Transform; determining parameters of the frequency domain signal; establishing a simulating signal; establishing a target function which is a deviation of the simulating signal from the sampling signal; obtaining correcting factors; iterating the target function using a gradient method and the correcting factors to obtain three sets of iterated signal parameters; obtaining corrected parameters using quadratic interpolation; and using the corrected parameters to correct the simulating signal, and establishing an updated target function. The simulating signal can be used to estimate dynamic behavior of the physical system if the updated target function converges to a tolerable range. | 10-15-2009 |
| 20090307293 | METHOD FOR DETERMINING AN OPTIMUM SAMPLING FREQUENCY, AND A POWER ANALYZER PERFORMING THE METHOD - A method for determining an optimum sampling frequency to be performed by a power analyzer includes the following computer-implemented steps: sampling a time domain signal to obtain a sampling signal according to a predetermined sampling frequency; obtaining two reference sampling signals using higher and lower sampling frequencies compared to the predetermined sampling frequency; transforming the sampling signal and the reference sampling signals to frequency domain signals; computing a sum-of-amplitudes for each of the three frequency domain signals; estimating a minimum sum-of-amplitudes value and a corresponding re-sampling frequency; obtaining a new reference sampling signal using the re-sampling frequency; transforming the new reference sampling signal to a frequency domain signal, and computing a sum-of-amplitudes therefor; and re-estimating the minimum sum-of-amplitudes value and the corresponding re-sampling frequency. The re-sampling frequency that conforms with a predetermined convergence standard is the optimum sampling frequency. | 12-10-2009 |
| 20090322609 | Beamformer using cascade multi-order factors, and a signal receiving system incorporating the same - A beamformer includes a number (T) of consecutive combining stages. A T | 12-31-2009 |
| 20110125438 | SIGNAL ANALYZER FOR ANALYZING DYNAMIC BEHAVIOR OF A TARGET SYSTEM - A signal analyzer includes a sampling unit, a filter unit coupled to the sampling unit, a computing unit coupled to the filter unit, and an output unit coupled to the computing unit. The sampling unit is operable to sample a time domain signal from a target system according to a predetermined sampling frequency to obtain a sampling signal. The filter unit is configured to perform filter processing upon the sampling signal so as to filter out harmonic frequency components from the sampling signal, thereby obtaining a fundamental frequency signal having a plurality of sample points. The computing unit is operable to compute a signal parameter set for each of temporally adjacent pairs of the sample points of the fundamental frequency signal. The output unit is configured to output information about dynamic behavior of the target system based upon the signal parameter sets computed by the computing unit. | 05-26-2011 |