Television images of the re-creation of intelligent data analysis methods and algorithms

This paper analyses the major points of the television images of the re-creation of intelligent data analysis methods and algorithms. On this way, research analyses distinct points of the development while making both theoretical and practical research analyses.Finally, it concludes major outcomes and shortcomings of the topic for the further investigations. Most modern systems and communications and telecommunications to one degree or another use digital signal processing (DSP). DSP units have replaced many analog units and are more commonly used in the final processing stages. Many of the corresponding operations are non-linear, although they use as a basis orthogonal transforms, which are initially linear. These analysis methods allow us to evaluate the quality of the video codec without applying knowledge of the internal structure of the codec. The main advantage of this approach is the ability to automate the testing process. It is also widely used in the tasks of selecting contours in an image, emphasizing upper spatial frequencies. Like linear filters with finite impulse response (FIR) filters, nonlinear filters work in a sliding window. Local methods have broader functionality, in particular, they can take into account the characteristics of local areas, i.e. are more flexible in practical implementation.