Measuring systems using the design of laser module beams on the surface of the object under study are considered. A technique is proposed for experimental researches of the brightness structure of the study of laser modules. Adaptive algorithms on the type of module and distance have been developed for determining the coordinates of light marks on the surface of controlled products. The need for high-precision measuring systems to carry out their pre-liminary selection and calibration of laser modules according to the proposed method, taking into account the range of design of light marks, is shown. It is shown in the work that the accu-racy of determining the relative coordinates in the trajectory of the light marks of laser mod-ules for monochromatic targets can be several times higher (0.2 - 0.3 mm) than the accuracy of determining their absolute coordinates (≈ 1 mm).
Based on modern computer technologies developed by National Instruments, a virtual device for adjusting, controlling and studying various noise characteristics has been developed. Signs helping identify the laws of random signal probability distribution are smoothness or sharpen-ing, asymmetry and uncertainty. Examples of identification of noise characteristics of elec-tronic devices are provided; instrument technologies are used to monitor the technical condi-tion of such devices.
Optical observation is the most effective way to control the state of various objects. The dynamism of the objects of the observed scene makes it an urgent task to improve the algorithms for obtaining coordinate and non-coordinate information about the observed objects. The issues of increasing the accuracy of measuring the distance and increasing the resolution between the light objects observed by the optical system by the method of double continuous wavelet transformation are considered. It is shown that the use of the second continuous wavelet transform to the curves of the coefficients of the first transform leads to an increase in the maxima of the scalegram and the curves of the coefficients, providing the coordinate sensitivity of the position of the signals by more than two times. The use of different types of wavelets in each continuous wavelet transform of signals gives many options for constructing a processing algorithm and can be used for additional filtering of noise taking into account the characteristics of signals. In this regard, it is proposed to use parallel mathematical models and real signals in a neural network for determining the coordinates of signals and their characteristics, which leads to an increase in accuracy for each type of signal. The indicated approach can be used in systems for multiple signaling from different sources or for combining images in multi-position systems.
Based on modern computer technologies developed by National Instruments, a virtual device has been developed to adjust, control and study noise characteristics of various radio-electronic devices. Examples of distribution laws for random signals based on smoothness or sharpening, asymmetry and uncertainty were provided. It is shown that the method identifies the laws of distribution of random signals in comparison with other methods, and the virtual instrument technology and the electronic device with a data acquisition board monitor the technical state of electronic devices by their noise characteristics.
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