SYSTEMS AND METHODS FOR FOCUS PLUS CONTEXT VIEWING OF DENSE, ORDERED LINE GRAPHS

• US 20100188406A1
• Filed: 01/29/2009
• Published: 07/29/2010
• Est. Priority Date: 01/29/2009
• Status: Active Grant

• Current Assignee: Agilent Technologies, Inc.
• Original Assignee: Agilent Technologies, Inc.
• Inventors: Kincaid, Robert H.
• Granted Patent: US 8,284,200 B2
• Time in Patent Office: Days
• US Class Current: 345/440
• CPC Class Codes: G01R 1/025 concerning dedicated user interfaces, e.g. GUI, or dedicated keyboards G01R31/31912 takes precedence
• CPC Class Codes: G01R 13/0218 Circuits therefor
• CPC Class Codes: G06T 11/206 Drawing of charts or graphs

Abstract

Systems, methods and computer readable storage media for displaying a dense graph and details of a portion of the dense graph on a display are provided. A processor coupled to memory, an input device and a display are provided to perform operations including: locally distorting a portion of the dense graph identified by interaction through the input device, wherein the local distortion includes expanding the portion of the dense graph along a first dimension axis of the graph, compressing at least one adjacent portion of the dense graph adjacent the expanded portion, and maintaining a scale of all of the dense graph in a second dimension orthogonal to the first dimension. The dense graph and expanded and compressed portions are displayed on the display, wherein all of the graph represented by the display signal on the display prior to performing the local distortion operation is displayed after performing the local distortion operation. In at least one embodiment, the system comprises an oscilloscope.

Claims

1. A system for displaying a dense graph and details of a portion of the dense graph on a display of said system, said system comprising:

a processor coupled to memory, an input device and said display and adapted to perform operations comprising;

locally distorting a portion of the dense graph identified by interaction through said input device, said locally distorting comprising expanding the portion of the dense graph along a first dimension axis of the graph, compressing at least one adjacent portion of the dense graph adjacent the expanded portion, and maintaining a scale of all of the dense graph in a second dimension orthogonal to said first dimension; and

causing said display to display said dense graph and said expanded and compressed portions, wherein all data represented by said dense graph displayed on said display prior to said locally distorting is displayed after said locally distorting.

2. The system of claim 1, wherein said system comprises an oscilloscope.

3. The system of claim 1, wherein said operations additionally comprise motif matching additional portions of said dense graph matching at least a selected portion of the expanded portion, wherein said motif matching comprises comparing a portion of said dense graph with a remainder of said dense graph to identify wave forms similar to a wave form formed by said portion.

4. The system of claim 1, wherein said operations additionally comprise calculating measurements relative to said dense graph and displaying track marks adjacent said display of said dense graph along the first dimension axis at locations of said graph from which said measurements were calculated where the data at the locations of said graph meet a predefined condition.

5. The system of claim 4, further comprising locally distorting said track marks that are aligned with the portion of the dense graph having been locally distorted.

6. The system of claim 4, wherein at least two different types of measurements are calculated and a track of said track marks is displayed for each type of measurement, respectively.

7. The system of claim 6, wherein said processor is further adapted for carrying out logical operations on data identified by said track marks.

8. The system of claim 6, wherein said processor is further adapted for calculating measurements of said measurements.

9. The system of claim 4, wherein said operations additionally comprise displaying a histogram of said measurements, filtering the tracks in response to a selection of a value in said histogram, and displaying only tracks corresponding to the selected value of said histogram.

10. The system of claim 1, wherein said system is further adapted to display at least a portion of said expanded portion on a scratch pad display.

11. The system of claim 10, wherein said processor is adapted to cause said display to overlay multiple portions of said graph on said scratch pad display.

12. The system of claim 1, wherein said system comprises an oscilloscope and said dense graph comprises an oscilloscope trace, said processor configured to calculate measurements relative to said oscilloscope trace, and said system configured to display track marks adjacent said display of said oscilloscope trace on said display, along said first axis of said oscilloscope trace, adjacent locations of said oscilloscope trace where data used to calculate said measurements meet a predefined condition.

13. The system of claim 12, wherein said processor is further adapted to carry out calculations for motif matching additional portions of said oscilloscope trace that are similar to at least a selected portion of the expanded portion, and for causing said display to display said track marks adjacent said additional portions, wherein said motif matching comprises comparing a portion of said dense graph with a remainder of said dense graph to identify wave forms similar to a wave form formed by said portion.

14. A computer-assisted method of analyzing a dense graph, said method comprising:

selecting a portion of the dense graph via an input device;

wherein, upon receiving said selection via said input device, said computer locally distorts said portion of the dense graph, expanding the portion of the dense graph along a first dimension axis of the graph, compressing at least one adjacent portion of the dense graph adjacent the expanded portion, and maintaining a scale of all of the dense graph in a second dimension orthogonal to said first dimension; and

displaying said dense graph and said expanded and compressed portions, wherein all data represented by said dense graph displayed on said display prior to said locally distorting is displayed after said locally distorting.

15. The method of claim 14, wherein said portion is a first portion, said method further comprising:

real time navigating to select a second portion of said dense graph, using said input device;

wherein, upon receiving said selection of said second portion via said input device, said computer locally distorts said second portion of the dense graph, expanding the portion of the dense graph along a time dimension axis of the graph, compressing at least one adjacent portion of the dense graph adjacent the expanded portion, wherein the first portion is returned to an undistorted state, and the scale of all of the dense graph in the second dimension is maintained undistorted; and

displaying said dense graph and said expanded second portion and adjacent compressed portions, wherein all data represented by said dense graph displayed on said display prior to said locally distorting is displayed after said locally distorting.

16. The method of claim 14, further comprising:

motif matching said dense graph, wherein said motif matching comprises comparing a portion of said dense graph with a remainder of said time series graph to identify wave forms similar to a wave form formed by said portion; and

displaying track marks adjacent said display of said dense graph along said first dimension axis adjacent locations of said graph where wave forms similar to said wave form formed by said portion were identified.

17. The method of claim 16, further comprising:

user selection of said portion, using an input device of a computer configured to carry out said computer-assisted method.

18. The method of claim 14, further comprising:

calculating different types of measurements relative to said dense graph; and

displaying track marks adjacent said display of said dense graph, along said first dimension axis of said dense graph, adjacent locations of said dense graph where data is located which, when used in calculating said measurements, meet a predefined criterion, wherein one of said tracks is displayed for each type of measurement, respectively, to enable comparison of said tracks to identify locations along the first axis where disparities occur.

19. A computer readable storage medium having stored thereon one or more sequences of instructions for facilitating computer-assisted analysis of a dense graph, wherein execution of the one or more sequences of instructions by one or more processors causes the one or more processors to perform a process comprising:

providing an interactive user feature for user selection of a portion of the dense graph via an input device;

upon receiving user selection of the portion, locally distorting said portion of the dense graph, expanding the portion of the dense graph along a first dimension axis of the graph, compressing at least one adjacent portion of the dense graph adjacent to the expanded portion, and maintaining a scale of all of the dense graph in a second dimension orthogonal to said first dimension; and

generating a display signal representing said dense graph and said expanded and compressed portions, wherein all of said graph represented by said display signal prior to said locally distorting is represented by said display signal after said locally distorting.

20. The computer readable storage medium of claim 19, in which the process additionally comprises:

motif matching the remainder of said dense graph not included in the selection portion, wherein said motif matching comprises comparing at least part of the selected portion of said dense graph with said remainder of said graph to identify wave forms similar to a wave form formed by said at least part of said portion.

21. The computer readable storage medium of claim 20, in which the process additionally comprises:

displaying track marks adjacent said display of said dense graph along said first dimension axis thereof adjacent locations of said graph where motif matches were identified.