Analysis of computational processes of pyramidal and parallel-hierarchical processing of information

The article considers of analysis of computational processes of pyramidal and parallel-hierarchical processing of information. So, since electronic devices closely approached their physical limit of operation rate, the solution of the problem of information parallel processing, namely, real-time image processing, completely depends on the development of fast-acting and parallel intelligent computational processes, operation algorithms and architecture of which are oriented on neural-like principles of information processing and transformation.
The existing methods of the design of conventional algorithms and the architecture of computers do not meet the requirements of those algorithmic and architectural solutions that were achieved while designing computational structures with high level of parallelism.
Description of adequate model of neural-like computations can be performed based on realization of the following statements:
1. Presentation of neural-like systems development in the form of networking models of parallel-hierarchical evolutionary process of interactive formation of the sets of general and various states of spatial-temporal environment (STE), that exist in dialectic unity.
2. In STE models for formation of the sets of general and various states it is necessary to use functional set of comparison and shift operations that provides form of transformation and presentation of information natural for human being.
3. It is necessary to take into account natural analogy of signals perception by the human being, the photon being the carrier of the information, and information receiver performing photon-electronic transformation, that is objective precondition for the possibility of creation artificial neural-like models of STE with realization of natural functions of transformation, processing and storage of information.
4. Functioning of STE models is impossible to realize without efficient energy supply, that can be provided, at present stage of science and engineering development, by electric engineering means.
5. In STE models for redescription of signals detector and spatial-frequency approaches are combined. That allows, on one hand, to reduce the redundancy at the expense of transition from pixel-wise description to the description by more important elements of the image and on the other hand, - to pass to the description of quasi-holographic type, i.e., realize the coding of image meaning not in a separately taken pixel, but distributed by its circumference.
If follows from these statements, that transformation and processing of information is expedient to perform by algorithmic methods, oriented on neural-like processing of signals, realizing engineering facilities based on optic methods and, at the given stage, applying electronic supply of energy.
System connection of the given statements can be provided by means of organization of multistage and parallel computational process, oriented on the solution of various applied tasks. Such computational process is defined by the authors as parallel-hierarchical (PH). Parallel-hierarchical processing assumes the organization of parallel-hierarchical computation process, oriented on obtaining of maximum possible algorithmic and engineering facilities operation rate while information transform and minimal possible volume of memory and power consumption for its storage with leading increase of functional possibilities of engineering facilities as compared with their complexity. PH processing of signals is universal algorithmic method, that provides in real time transformation of large arrays of information and allows realizing efficient neural-like computations