Special Section on Signal Processing Theories and Applications Based on Modelling of Nonstationary Processes
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概要
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A special section is devoted to signal processing theories associated with applications of nonstationary processes. In this section a variety of research done in novel categories are presented, which expand the field of nonstationarity. Nonstationary processes are characterized with dependency of time, space, and these derivative axes. Nonstationary behavior is an essential characteristics of many practical phenomena. Three kinds of analytical approaches are considered: the functional transform analysis, model based analysis, and these hybrid method. The first method analyzes signals using basis functions which provide a universal approach to various phenomena with less reflection of structural individuality. The second method analyzes signals based on the model of a target phenomenon. Modelling is an important and useful method used in natural science to clarify the characteristics and build a theory for little known phenomena. If the features of a process is successfully reflected on the model, the method provides useful and sufficient analytical results. The third method is combination of the above methods. The nonstationary analysis research is still new and novel. Recent achievement in scientific investigation on neuronal network system is respected for development of novel viewpoints and methods besides established mathematical or physical methods. An invited paper presents of new achievements in the science of neuroethology. This paper discusses generic and unique responses found in the brain system of weakly electric fishes. The editor attempted to gather a variety of investigations. Nine papers were first proposed and finally six paper were approved for this edition. The papers cover a variety of analysis methods including parametric analysis of waveform and power spectra, and the functional analyses of fractal and neural networks. The editor expresses her sincere gratitude to proponents of papers, editorial committee members, and reviewers. The editor wishes future growth of this field with this issue as a momentum.
- 社団法人電子情報通信学会の論文
- 1997-06-25