Pattern detection based on fractal analysis
Various systems, methods, and programs embodied in computer-readable mediums are provided for the detection of patterns. In one embodiment, a pattern detection method is provided that comprises the step of performing a fractal analysis of a pattern to generate a plurality of scaling parameters from a fractal associated with the pattern in a computer system. In addition, the method further comprises the step of detecting a degree of organization in the pattern by examining a degree of equality among the scaling parameters of the fractal in the computer system.
1. A system for organized pattern detection, comprising:
a processor circuit having a processor and a memory;
a detection system stored in the memory and executable by the processor, the detection system comprising:
logic that performs a fractal analysis of a pattern to generate a plurality of scaling parameters from a fractal associated with the pattern; and
logic that detects a degree of organization in the pattern based upon a degree of equality among the plurality of scaling parameters of the fractal.
2. The system of claim 1 , where the degree of equality of the plurality of scaling parameters of the fractal indicates an extent to which the pattern comprises noise.
3. The system of claim 1 , wherein the logic that detects the degree of organization in the pattern further comprises logic that compares a maximum difference between any two of the plurality of scaling parameters to a predefined equality threshold.
4. The system of claim 1 , where the pattern comprises a transmitted signal.
5. A pattern detection method, comprising the steps of:
performing a fractal analysis of a pattern to generate a plurality of scaling parameters from a fractal associated with the pattern in a computer system; and
detecting a degree of organization in the pattern by examining a degree of equality among the plurality of scaling parameters of the fractal in the computer system.
6. The pattern detection method of claim 5 , where the degree of equality among the plurality of scaling parameters of the fractal indicates an extent to which the pattern comprises noise.
7. The pattern detection method of claim 5 , further comprising the step of receiving a transmitted signal, where the pattern comprises the transmitted signal.
8. The pattern detection method of claim 5 , further comprising the step of comparing a maximum difference between any two of the plurality of scaling parameters to a predefined equality threshold to detect the degree of organization of the pattern.
9. A system for pattern detection, comprising:
means for performing a fractal analysis of a pattern to generate a plurality of scaling parameters from a fractal associated with the pattern; and
means for detecting a degree of organization in the pattern based upon a degree of equality among the plurality of scaling parameters of the fractal.
10. The system of claim 9 , where the degree of equality among the plurality of scaling parameters of the fractal indicates an extent to which the pattern comprises noise.
11. A non-transitory computer-readable medium embodying a program executable by a computer system for pattern detection, comprising:
code that performs a fractal analysis of a pattern to generate a plurality of scaling parameters from a fractal associated with the pattern; and
code that detects a degree of organization in the pattern based upon a degree of equality among the plurality of scaling parameters of the fractal.
12. The non-transitory computer-readable medium embodying the program executable by the computer system of claim 11 , where the degree of equality among the plurality of scaling parameters of the fractal indicates an extent to which the pattern comprises noise.
13. The non-transitory computer-readable medium embodying the program executable by the computer system of claim 11 , wherein the code that detects the degree of organization in the pattern further comprises code that compares a maximum difference between any two of the plurality of scaling parameters to a predefined equality threshold.