Abstract: A method and apparatus that utilize time-domain measurements of a nonlinear device produce or extract a behavioral model from embeddings of these measurements. The method of producing a behavioral model comprises applying an input signal to the nonlinear device, sampling the input signal to produce input data, measuring a response of the device to produce output data, creating an embedded data set, fitting a function to the embedded data set, and verifying the fitted function. The apparatus comprises a signal generator that produces an input signal that is applied to the nonlinear device, the device producing an output signal in response. The apparatus further comprises a data acquisition system that samples and digitizes the input and output signals and a signal processing computer that produces an embedded data set from the digitized signals, fits a function to the embedded data set, and verifies the fitted function.

Abstract: A bit-error rate is tested in a minimal necessary time period. A block of bits is measured and a cumulative number of bit errors is counted in parallel with calculation of a posterior cumulative distribution function. The posterior cumulative distribution function permits a determination to a desired probability whether or not the bit-error rate is less than a desired bit-error-rate limit. The measurement of blocks of bits and accumulation of bit errors relating thereto and calculation of the posterior cumulative distribution function and making of determinations based thereon continue in parallel until one of three events is detected. The three events are: 1) the bit-error rate is less than the desired bit-error rate limit to the desired probability; 2) the bit-error rate is greater than or equal to the desired bit-error rate limit to the desired probability; and 3) a maximal test time has been reached. Upon detection of any of these three conditions, the test is stopped.

Abstract: The system and method enable cost-effective classification of objects, such as solder joints, that are under inspection. A classifier is operable to receive a feature vector f of an object under inspection and compute a probability that such object is properly assigned membership in a first of a plurality of different classes. For instance, a “good” class may be available for objects that meet a pre-determined criteria, and a “bad” class for objects that do not meet such criteria. The classifier analyzes f to compute the probability that an object is properly classified as “good.” Embodiments of the invention enable the classifier to be tuned as desired for a given inspection section for proper risk management. A cost variable is input to the classifier and used to determine whether, given the computed probability that an object is “good,” it is cost-effective to classify the object as “good.

Abstract: Spectrum estimates of unevenly spaced timestamped data collected over a network. Unevenly spaced data is not suitable for processing by traditional methods such as Fast Fourier Transforms. Spectrum estimates of timestamped data collected over a network are calculated using a Continuous Fourier Transform. If the time between samples is long, spectrum estimates may be computed incrementally.

Abstract: A diagnosis engine for diagnosing a device having a plurality of components receives test results of a set of tests on the device where at least one test has failed, and a model giving the coverage of the tests on the components of the device and information describing probabilistic dependencies between the tests. The diagnosis engine includes a specifier to specify a number N of components that may be simultaneously bad, N being an integer, and a computer to compute, within floating point computation errors, a likelihood that each of subsets of the components having size less than or equal to N are the bad components.

Abstract: Hierarchical classification of samples. First stage classification identifies most members of the majority class and removes them from further consideration. Second stage classification then focuses on discriminating between the minority class and the greatly reduced number of majority class samples lying near the decision boundary.

Abstract: Method for diagnosing data packet transfer faults in a system under test (SUT) are provided. A representative method includes: identifying at least some portions of the data transmission paths of the SUT capable of introducing errors in data packet transfer; providing constraints defining data packet transfer relationships of at least some of the portions of the data transmission paths; and diagnosing the SUT with respect to the constraints. Systems, computer-readable media and other methods also are provided.

Abstract: Method for diagnosing faults in a system under test (SUT) are provided. A representative method includes identifying at least some portions of the data transmission paths of the SUT capable of introducing errors in data transfer; providing constraints defining relationships of at least some of the portions of the data transmission paths; and diagnosing the SUT with respect to the constraints. Systems, computer-readable media and other methods also are provided.

Abstract: A method and a system evaluate an efficacy of a test suite in a model-based diagnostic testing system to determine a revision of the test suite. The evaluation comprises suggesting a test to be added to the test suite based on probabilities of a correct diagnosis and an incorrect diagnosis. The evaluation either alternatively or further comprises identifying a test to be deleted from the test suite based on probabilities of a correct diagnosis for the test suite and for a modified test suite that does not include a test. An efficacy value of each test in the test suite is computed. The system has a computer program comprising instructions that implement an evaluation of diagnostic efficacy of the test suite. The system either is a stand-alone system or is incorporated into the testing system.

Abstract: Spectrum estimates of unevenly spaced timestamped data collected over a network. Unevenly spaced data is not suitable for processing by traditional methods such as Fast Fourier Transforms. Spectrum estimates of timestamped data collected over a network are calculated using a Continuous Fourier Transform. If the time between samples is long, spectrum estimates may be computed incrementally.

Abstract: A bit-error rate is tested in a minimal necessary time period. A block of bits is measured and a cumulative number of bit errors is counted in parallel with calculation of a posterior cumulative distribution function. The posterior cumulative distribution function permits a determination to a desired probability whether or not the bit-error rate is less than a desired bit-error-rate limit. The measurement of blocks of bits and accumulation of bit errors relating thereto and calculation of the posterior cumulative distribution function and making of determinations based thereon continue in parallel until one of three events is detected. The three events are: 1) the bit-error rate is less than the desired bit-error rate limit to the desired probability; 2) the bit-error rate is greater than or equal to the desired bit-error rate limit to the desired probability; and 3) a maximal test time has been reached. Upon detection of any of these three conditions, the test is stopped.

Abstract: A model-based diagnostic system that enables selection of components for replacement and selection of the next test to apply to a device under test based on economic costs associated with replacing components and conducting tests.

Abstract: The present disclosure provides a method and apparatus for using frequency domain data, such as S-parameters, in a time-based simulator. S-parameters are either input to the simulator, or are empirically measured, at selected frequencies. Preferably, the selected frequencies are related to one another by a logarithmic scale, providing for determination of a system transfer function which is accurate across a very wide range of frequencies, from near zero hertz, to frequencies on the order of a hundred gigahertz. The transfer function preferably takes the form of a fitted polynomial, obtained using FDSI techniques. In addition, recursive convolution may be employed to operate in the time domain on inverse Laplace Transforms of the fitted transfer function and time-domain simulator test signals.

Abstract: A CAD system and method for designing sheet metal parts. A proposed design is automatically tested against a set of design rules. Available tools are selected according to criteria computed with reference to the part to the fabricated and then are tested to determine whether they can be used to make desired bends. A fabrication sequence is computed.

Abstract: A CAD system and method for designing sheet metal parts. A proposed design is automatically tested against a set of design rules. Available tools are selected according to criteria computed with reference to the part to the fabricated and then are tested to determine whether they can be used to make desired bends. A fabrication sequence is computed.