By Cornelius T. Leondes
Compliment for the Series"This booklet could be an invaluable connection with keep an eye on engineers and researchers. The papers contained hide good the new advances within the box of contemporary regulate theory."--IEEE crew Correspondence"This booklet may help all these researchers who valiantly attempt to retain abreast of what's new within the thought and perform of optimum control."--Control
Read or Download Multidimensional Systems Signal Processing Algorithms and Application Techniques PDF
Best mathematics books
This can be the main entire survey of the mathematical lifetime of the mythical Paul Erd? s, some of the most flexible and prolific mathematicians of our time. For the 1st time, the entire major components of Erd? s' examine are coated in one venture. due to overwhelming reaction from the mathematical group, the undertaking now occupies over 900 pages, prepared into volumes.
- Contemporary Developments in Continuum Mechanics and Partial Differential Equations, Proceedings of the International Symposium on: Continuum Mechanics and Partial Differential Eyuations
- Lp-uniqueness for Dirichlet operators with singular potentials
- Measure Theory, Oberwolfach 1983, 1st Edition
- Dynamical systems 01
- Technische Mechanik 2: Festigkeitslehre mit Maple-Anwendungen
- Differential Operators for Partial Differential Equations and Function-Theoretic Applications (Lecture notes in mathematics ; 791)
Additional resources for Multidimensional Systems Signal Processing Algorithms and Application Techniques
This procedure is repeated for every class Ck that has not been discriminated yet. The rule L k that possesses the minimal probability of misclassification is chosen as the discrimination rule for this level. This procedure is repeated with the rest of the unclassified example sets iteratively, until all classes are discriminated. We shall give an example to illustrate the application of the abovedescribed rule learning procedure. Four representative seismic image regions having different seismic texture are chosen by the interpreter and are shown in Figure 9a.
Pattern Analysis and Machine Intelligence 8, pp. 538-550 (1986). 62. I. N. Venetsanopoulos, "Towards a Knowledge-Based System for Automated Geophysical Interpretation of Seismic Data (AGIS)", Signal Processing 13, pp. 229-253 (1987). 63. I. Pitas, E. N. Venetsanopoulos, "A Minimum Entropy Approach to Rule Learning from Examples", IEEE Transactions on Systems, Man and Cybernetics SMC-22, pp. 621-635 (1992). 64. I. Pitas, and C. Kotropoulos, "Texture Analysis and Segmentation of Seismic Images", in Proc.
Three adjacent binary traces. Obviously, all ls belong to the same event. The classical and the generalized definitions of run give the results shown in Figures 8b, 8c respectively. The generalized run identifies the region of ls as a single entity having run length 3, whereas the classical definition fails to do so. The run following algorithm is based on the following simple idea: GEOPHYSICAL IMAGEINTERPRETATION 25 1. A generalized run has to be followed, when overlapping between the part of ls of the current trace and the part of ls of the subsequent trace occurs.