15 Data AnalysisDataAnalysis
Introduction
Origin contains powerful tools for all of your data analysis needs, including curve fitting, statistics, peak analysis and signal processing. Most of Origin's analysis tools can make use of a stored collection of settings  something known as a Dialog Theme  that makes repeat analyses a snap. Furthermore, the output from one operation can become the input for another operation, thus allowing you to set up a chain of operations, with results that update whenever there are changes to source data, as would happen when importing a series of data files.
The following sections cover (1) selecting the data that you wish to analyze and (2) the Origin and OriginPro tools available for analyzing that data. Please refer to the How to Handle Repetitive Tasks chapter of this User Guide for more information on Analysis Templates, Dialog Themes and other timesaving features.
 Apps are addon tools that extend Origin's graphing and analysis capabilities. Many analysisrelated tools are available freeofcharge from OriginLab's File Exchange. To find out more about Apps in Origin, see the Apps for Origin chapter of this User Guide.

Data Input
Origin's analysis tools will work with workbook, matrix and/or graph data, depending upon the tool. By default, analyses will be on done on selected data (note that in the case of matrix data, "selected data" will the the matrix sheet or matrix object, depending on the analysis). When working with worksheet or graph data, you may want to restrict your analysis to a subset of the data  say, a certain range of rows or columns in a worksheet or a certain X range in a graph.
Data selections can be made before or after opening an analysis dialog. Most of Origin's XFunction based analysis tools have a Input branch with a range selection control that you can use to interactively select your data (as explained below).
Selecting Data in the Worksheet
Selecting Data, Worksheet
When you highlight a range of worksheet data, then open one of XFunction based dialog boxes  that would include nearly all of those that open from the Analysis or Statistics menus  you will see your range selection already entered into the dialog box Input branch. Most will find that selecting worksheet data prior to opening an Analysis or Statistics dialog box, is the easiest way to specify which data you wish to analyze.
If you open one of the XFunction dialog boxes without preselecting your data, the first thing you should do upon opening the dialog is to select data in Input branch:
 Click the range selection control next to Input (or Input Data). The dialog box will roll up.
 Go to worksheet and highlight your worksheet data, then click the button at the right end of the rolled up dialog box. The Input branch will now show the selected range.
Note that you do not have to select entire datasets (columns). You can select a portion of your worksheet data and analyses will be confined to that selected subset of your data. Also if the analysis supports multiple datasets, you could support multiple ranges such as multiple Y columns or Y ranges. If the analysis only supports one dataset, you may be able to select multiple ranges in the worksheet, but only the 1st range will be picked in the analysis.
Notes
 The Input Data branch has a hierarchical structure. If the analysis supports multiple datasets, you can add multiple ranges under Input Data and they will show as Range 1, Range 2, etc., each with its corresponding X, Y, Error and Row controls.
 Mousing over each level will show a tooltip indicating where the data on that level is from (i.e. book, sheet and column).
 A Rows control under each range node lets you set range by row index or X value. If you want to apply the same row range to all ranges under Input Data, click the arrow button to the right of the range node and choose Apply Row Range to All.
 Depending on where you are in the Input Data hierarchy, the range selection button may have some limitations ( e.g. if you click range selection control next to Y, though you could select multiple columns in a worksheet, only the 1st column is accepted).
 Clicking the arrow button to the right of the range selection control will show more selection options, including individual worksheet columns that can be quickly added to your data selection.
 Depending on which level you are in, the selection options when clicking the arrow button may vary. For instance, clicking the "arrow" button next to Input Data and clicking the Select Columns... menu item, will open the Column Browser allowing you to select multiple columns from different worksheets.
 Use the List Datasets dropdown list to filter which sheets you want to pick from. The top panel list can be sorted by clicking any of the column headings, making it easy to select, for example, all columns that share the same LName or Comments.
 Then click the Add button to add the column to your selection list in bottom panel.
 To modify the data input range of any dataset, click the range button to the right of any dataset added to the bottom panel and edit the From and To values.
Selecting Data in the Graph
Selecting Data, Graph
Active Dataset
When a graph window is active and you select one of the Analysis menu tools, the default behavior is for the analysis dialog box to open showing the selected range of the active dataset as your Input Data (note that analysis dialogs include an Input Data node that allows adjustments  adding more datasets with the interactive range selector button, changing a data range, etc.).
The Data List and the Active Data Plot
The active data plot is the one that shows in the data list (bottom of the Data menu) with a check mark next to it. If the active graph layer contains a plot group, the default behavior is to make the first plot in the group the active data plot (note the "g1" beside each range in the following image, indicating that all are members of plot group 1). You can activate a different plot by clicking on another of the data plots listed at the bottom of the Data menu. Subsequently, when you open an analysis dialog box, this newlyselected plot will be listed as your input data.
However, for most purposes, you can ignore the data list and select your plot data directly in the graph window or using the Object Manager:
 If your data plots are part of a plot group, select the entire group by pressing SHIFT + clicking on a plot. Alternately, click on the group icon in the Object Manager. Either will set Input Range to all plots in the group.
 To select just a single plot  whether it be an independent plot or part of a group  click once on the plot. Alternately, click on the plot icon in the Object Manager. Either will set Input Range to only the selected plot.
 You can also indicate the active dataset by placing a red box around the plot's legend entry. In the case of grouped plots, the red box shows on the first plot in the group.
To turn this feature on or off:
 Click on your graph window, select Format: Page..., click on the Legends/Titles tab and enable or clear the Indicate Active Dataset box.
 Select the graph legend, then rightclick on it and choose Legend, then select/deselect the Indicate Active Dataset menu entry.
 Select the graph legend, then rightclick on it and choose Legend: Update Legend and enable or clear the Indicate Active Dataset box.

Customizing X scale range using Analysis Dialog "Rows" controls
You can adjust data range using the Rows controls under the Input Data branch of most analysis dialogs. If you have an analysis dialog box open:
 Click on Input Data branch to expand.
 Change the Rows dropdown list to By Row or By X and enter your From and To values. Note that each Range N will have its own Rows controls.
Customizing X scale range using Axis Scale Mini Dialog
Before opening an analysis dialog...
 Click on an axis then click the Mini Toolbar Axis Scale button to open the Axis Scale dialog box.
 Adjust the X axis scale to your desired range.
 Now open your analysis dialog (e.g. Linear Fit) and click the arrow button beside the Input Data box and select Use X Scale Range from the context menu:
As you can see, the customized scale range of X axis on the graph has been used to specify the input data range for your analysis (Rows = By X).
Selecting data graphically using The Regional Data Selector
You can graphically select a range of data using the Regional Data Selector tool: Selecting Data, GraphRegional Data Selector
 With a graph window active, click and hold on the Regional Data Selector button on the Tools toolbar, and then choose either the Selection on Active Plot or Selection on All Plots button.
 Drag out a rectangle or freehand object to select an area of the plot(s). Note that you can press Space to toggle between rectangle and freehand modes .
When you make your selection, Data Markers are placed on the graph to mark the selected range(s). You can now use Origin's analysis tools (e.g., Linear Fit) to perform an analysis on the selection, but note that some analysis dialog boxes do not work on multiple data ranges. The smoothing dialog box, for example, (Analysis: Signal Processing: Smooth...) will only smooth data in the active dataset or a single, selected plot.
 There is a new Mini Toolbar for controlling X scale range when using Data Markers. Click on a Data Marker and use the buttons to Set Display Range or Reset to Full Range.

 In addition to the data selection and data masking methods discussed in this section, Origin offers data filtering and data reduction tools. Please visit the linked pages for details.

Editing a Data Marker
To edit a Data Marker:
Data Markers
 To modify a data range, rightclick a data marker and choose Edit; or doubleclick on the data marker. The red marker changes to a dark color with arrows on both ends and the cursor changes into a crosshair. Drag the beginning or ending marker to a new position or use one of the keyboard shortcuts listed below and modify the data range. To escape edit mode, doubleclick on the marker or press the Enter key.
 There are other options when rightclicking the data marker such as Delete Marker, Delete Data, etc..
Note: If you have used the Regional Data Selector tool to place markers on multiple plots (Selection on All Plots), be aware that moving markers will affect the data range of the active plot only; the ranges of other selected plots will not follow that of the active plot. This is a limitation of the Regional Data Selector.

Alternately, you can use these keyboard shortcuts to select and edit data markers:
 Select data markers using these keys ...
Hot Key

Action

s

Select the first pair of data markers on the graph (those marked with "1").

Tab

Select the next pair of data markers (not in edit mode) or the other data marker of the pair (in marker edit mode).

Home

Return to the first data marker.

End

Go to the last data marker.

 ... then activate and edit the data marker using these key combinations:
Hot Key

Action

Enter

Activate the selected data marker for editing. (Press Enter again to exit data selection mode.)

Arrow

Move the active data marker exactly one data point.

Ctrl/Shift + Arrow

Move the active data marker multiple data points.

Delete

Delete the the active data marker.

Difference between Data Markers and Analysis Markers
Data Markers
Analysis Markers
 Data Markers define a subrange that you select using the Data Selector tool.
If you want to remove the data markers from a graph, you can select Data: Clear Data Markers from the main menu, or click the Clear Data Markers button on the Markers and Locks toolbar.
 When the analysis routine is completed, Data Markers are replaced with Analysis Markers. By default, Analysis Markers will not show if the analysis is done on the entire dataset. If performed on a subrange, Analysis Markers will show at the beginning and end of that subrange. To modify the data range and rerun your analysis, you must rightclick an analysis marker and choose Change Parameters.... Change the Input Data range and rerun the analysis.
Note:
 If you set Recalculate to None in the analysis dialog box, then no analysis markers are generated.
 Data markers and analysis markers are not exported when you choose File: Export Graphs.
 To select the exact same range again for another analysis, click the green lock and choose Plot Input Data with Data Markers to create a new graph and do analysis on it.
 There is a Markers and Locks toolbar to control analysis markers and locks, such as Marker Hide Show to toggle analysis markers on or off, etc. There is also an Analysis Markers submenu, available from the Data menu; or when you rightclick on an analysis marker or green lock and choose Analysis Markers.

The Pick Points Tool
You can also pick the data points in the graph using the Pick Data Points tool. This works best for scatter or line + symbol plots of smaller datasets.
 Select Data: Pick Data Points. The Pick Points dialog will pop up.
 With the square crosshair, you can read the coordinate of current data points in the Pick Points dialog (also the Data Source). Doubleclick on the point you want to pick until the crosshair cursor became round, the actual X&Y values will be recorded and the total number of picked points will be counted up.
 Once you finished the picking, click the Done button to output the results to a new workbook.
The Data Highlighter
In some cases, the Data Highlighter on the Tools toolbar, can be useful for selecting some portion of your data for further analysis. For instance, you have a 2D scatter plot and you are interested in data points in a particular region of the graph.
 Click the the Data Highlighter button on the Tools toolbar.
 Highlight the desired group of data points. Note that you can toggle between rectangular and freehand selection modes by pressing the spacebar while the Highlighter is active. Selection points in the graph simultaneously highlights selected rows in the source worksheet.
 Go the source worksheet, rightclick on it and choose Create Subset Sheet.
You now have a secondary worksheet named as wcopyN, that contains only the data points that you selected in the graph.
For more information, see The Data Highlighter Tool.
Data Output
Origin's analysis tools typically have an Output branch (the exact name varies by tool), in which you can specify the output that you wish to generate and where you would like that output to go. This happens to be the output branch of the Integration tool.
Output can be directed to various places  a range of worksheet cells or columns, or possibly to a worksheet, a workbook, a matrixsheet, or a graph layer. Output options depend upon the target object as well as the type of window that was active when the tool was opened. You can determine your output target by:
This being an introductory manual, we will stick with the simplest to use  using predefined range strings. For information on other options, follow the links above.
Specifying Output Using Range Strings
Referring to the image above, note that range strings are enclosed by < > characters. Valid strings will differ from dialog to dialog (e.g. <source> is available from the Book list under the Output Fitted Values To branch of the Fit Linear dialog, but it is not used to specify Output in the Smooth dialog).
The most common strings:
 <none>: Generate no output.
 <new>: Create a new Origin object  a column, a worksheet, a graph, etc.
 <input>: Use the input object for output.
You can type these strings directly into the edit box but the easiest thing to do is to just select them from the flyout menu (options will vary by tool). Alternately, you can click the Custom button and open the Range String Builder. Despite the intimidating name, it is just a way to step through the process of specifying your output target. For more information on range strings and Range String Builder, see Output Results in the Origin Help file.
Data Masking
Masking Data, Worksheets
Masking Data, Graphs
Masking Data, Remove or Disable Mask
Masking is another technique that you can use when you want to analyze only a subset of your data, or when you have spurious data points that you do not want included in your analysis. Masking or unmasking data will trigger recalculation of linked operations.
 You can mask data points in both worksheets and graphs.
 When data exist in both the worksheet and the graph, masking data in one will mask (and mark) the corresponding data in the other.
 Mask toolbar buttons work on both graphs and worksheets.
 Tools toolbar buttons work on graphs.
 When data are selected in the worksheet, a Mini Toolbar Mask Data button becomes available.
 Additionally, you can mask worksheet data by mathematical condition.
 Origin 2022 adds Masked and/or Unmasked Data Count to the active worksheet statistics that can be reported to the Status Bar. 
Masking with the Mask Toolbar (worksheet, graph)
These toolbar buttons are used to mask and manipulate masking of selected data. Note that this includes graphs, once data have been selected (see the next section on Tools toolbar buttons for graph selection).
Action

Toolbar Button

Shortcut Command

Notes

Mask data


Mask: Range

Mask the selected data range. Masked data will display in the mask color.

Unmask data


Mask: Clear Range

Unmask the selected data range. Unmasked points are included in analysis operations and plot "normally".

Swap mask


Mask: Swap

Swap masked and unmasked points in the active dataset.

Change mask color


Mask: Change Color

Change the mask color of the masked data range.

Hide/Show masked points


Mask: Hide

Toggle display of masked points ON and OFF onscreen, and in printed and exported graphs.

Disable masking


Mask: Disable Masking

Toggle the mask ON or OFF for all masked data in the worksheet. When toggled OFF, all data points are analyzed and included in printed and exported graphs.

Masking with the Tools Toolbar (graph)
 There was a change made to the default masking mode, starting with Origin 2021:
 Default is changed from mask by row index number to mask by rectangular region.
 Otherwise, behavior remains as before: toggle between masking modes (see next) by pressing Spacebar.
 Use system variable @MTI=1 (persistent) to revert to mask by row index as default.

To mask points, click on the graph window to activate it:
 Choose Data: Mask Data Points from the main menu or click the Mask Points on Active Plot button or Mask Points on All Plots button on the Tools toolbar, then hover on the graph.
 To mask a single point, double click on the point. To mask a region of points, press the Space bar to toggle among masking by row index number, by rectangular region or by freehand region (differences explained below), then drag out a region.
 Once data are masked in the graph, you can use the Mask toolbar buttons, described above.
Mask Points on Active Plot

Mask Points on All Plots of Active Layer

Purpose



Mask data points by rectangular region. Only the data points inside the rectangle that you drag out, will be masked.



Mask data points by freehand region. Only the data points inside the region that you drag out, will be masked.



Mask data points by row index number. All data points between the lowest and highest selected index numbers are masked regardless of whether they lie inside your rectangle.

 Choose either the Unmask Points on the Active Plot tool or the Unmask Points on All Plots of Active Layer tool on the Tools toolbar.
 Use the space bar, as needed, to choose points by index, rectangular region or by freehand region, then drag to unmask your data points. The tool will be active until press ESC or click the Pointer tool.
Mask Mini Toolbar Button (worksheet)
When worksheet data are selected  cells or entire columns  A Mini Toolbar Mask Data button becomes available. The button works as a toggle to mask or unmask data within the selection.
Mask Cells by Condition (worksheet)
There is a tool for masking worksheet data values by condition (e.g. <= 0).
 With the data selected (cells or one or more columns), choose Column: Mask Cells by Condition. This opens the colmask dialog.
 Choose your Condition and Value, plus other options as needed and click OK.
Mathematics
Origin provides a number of mathematics tools to perform basic calculations, interpolation, and area or volume calculations.
Basic Math
Math Tools, Basic
Tool Name

Description

Menu Entry

 Simple Column Math/Simple Curve Math
 Normalize Columns/Curves
 Average Multiple Curves
 Differentiate

 Perform basic calculations on worksheet columns or XY data plots

Analysis:Mathematics (workbook, graph)


 Perform elementwise arithmetic on two matrices.

Analysis:Mathematics (matrix)


 Subtract one dataset from another

Analysis:Data Manipulation (workbook, graph)


 Subtract a straight line defined graphically by clicking in the graph.

Analysis:Data Manipulation (graph)


 Subtract matrices in sheet by another matrix.

Analysis:Mathematics (matrix)

 Vertical Translate
 Horizontal Translate

 Use a Gadget to graphically translate curve(s) in vertical or horizontal.

Analysis:Data Manipulation (graph)


 Perform differentiation over a region of interest in a graph Region of Interest (ROI)

Gadgets:Differentiate... (graph)


 Calculate the intersection points of two or more data plots. Region of Interest (ROI)

Gadgets:Intersect... (graph)


 Read and tag X, Y coordinate values for data plots across multiple graphs that share the same X axis. Region of Interest (ROI)

Gadgets:Vertical Cursor... (graph)


 Use formulae to set/transform worksheet column values

Analysis:Mathematics (workbook)


 Generate pseudo inverse of a matrix

Analysis:Mathematics (matrix)

 Median Filter
 Special Filter
 Custom Filter

 Apply median/special/custom filter to a matrix

Analysis:Mathematics (matrix)

Interpolation
Math Tools, Interpolation
Tool Name

Description

Menu Entry


 Perform interpolation over a region of interestRegion of Interest (ROI)

Gadgets:Interpolate... (graph)

 Interpolate/Extrapolate
 XYZ Trace Interpolation(3D Graph)
 Trace Interpolation(2D Graph)

 Perform interpolation/extrapolation on a group of XY data.
 Perform periodic interpolation on XYZ worksheet data
 Perform interpolation on cycle or periodic curves

Analysis:Mathematics (workbook, graph)

 Interpolate/Extrapolate Y from X
 3D Interpolation

 Perform interpolation/extrapolation on a group of XY data to find Y at given X values.
 Perform 2D interpolation on a group of XYZ data to find Z at given XY values w/ choice of 8 methods.
 Perform interpolation with a 3D function on XYZ dataset.

Analysis:Mathematics (workbook)

 2D Interpolate/Extrapolate

 Perform 2D interpolation/extrapolation for a matrix

Analysis:Mathematics (matrix, graph from matrix)

Area/Volume Calculation
Math Tools, Area/Volume
Tool Name

Description

Menu Entry


 Perform integration over a region of interest in a 2D GraphRegion of Interest (ROI)

Gadgets:Integrate... (graph)

 2D Integrate Gadget

 Calculate max height, volume, FWHM (X,Y) for a contour or image graph created from matrix or XYZ worksheet data (OriginPro Only). Region of Interest (ROI)

Gadgets:2D Integrate... (graph)

 Integrate(2D Graph)
 Polygon Area(2D Graph)
 XYZ Surface Area (3D Graph)

 Perform integration on input data
 Calculate the area of enclosed plot regions
 Calculate the area of the XYZ surface

Analysis:Mathematics (workbook, graph)

 2D Volume Integrate
 Matrix Surface Area

 Calculate the volume beneath the matrix surface from zero plane
 Calculate the area of the matrix surface

Analysis:Mathematics: 2D Volume Integrate (matrix, 3D graph from matrix) or Analysis:Mathematics: Matrix Surface Area (matrix, 3D graph from matrix)

Curve Fitting
 A number of free Apps designed for various curvefitting operations are available from the OriginLab File Exchange. To find and install these Apps click Analysis: Fitting: Find Apps. The App Center will open, displaying only fittingrelated Apps. Browse available Apps and click the Download and Install button to install an App.

Linear and Polynomial Fit
Curve Fit, Linear and Polynomial
Linear and polynomial fitting can be performed on worksheet data or data plots in a graph. Linear Fit on Matrix Stack is performed on a series of matrix objects.
Tool Name

Menu Entry


Analysis:Fitting:Linear Fit or Gadgets:Quick Fit (graph)

 Fit Linear with X Error

Analysis:Fitting:Fit Linear with X Error

 Multiple Linear Regression

Analysis:Fitting:Multiple Linear Regression


Analysis:Fitting:Polynomial Fit or Gadgets:Quick Fit (graph)


Analysis: Linear Fit on Matrix Stack (matrix)

Nonlinear Curve Fit
Curve Fit, Nonlinear
Surface Fit
You can perform nonlinear curve fitting using one of many builtin fitting functions, or you can create a userdefined fitting function. OriginPro supports implicit function fitting, surface fitting, and fit comparison. Some tools are available only in OriginPro.
The table below summarizes available nonlinear curve fitting tools:
Tool Name

Features

Menu Entry


 Fit a region of interest in a graph interactivelyRegion of Interest (ROI)
 Fit with builtin or userdefined fitting functions
 Fit one or multiple datasets
 Choose from a number of predefined analyses (incl. Linear, Cubic, Peak and Sigmoidal).

Gadgets:Quick Fit (graph) or Gadgets:Quick Sigmoidal Fit (graph)


 Fit with builtin or userdefined fitting functions
 Fit one or multiple datasets
 Compare fit, multiple parameter sets
 Global fit with parameter sharing
 Global fit, parameter sharing with multiple functions
 Fit with replicas
 Advanced options including bounds, constraints, fit control

Analysis:Fitting:Nonlinear Curve Fit (workbook, graph)

 Implicit Curve Fitting

 Fit with implicit functions
 Orthogonal Distance Regression (ODR) algorithm

Analysis:Fitting:Nonlinear Implicit Curve Fit (workbook, graph)

 Surface Fit

 Fit data from a matrix or worksheet XYZ columns

Analysis:Fitting:Nonlinear Surface Fit (workbook, graph) or Analysis:Nonlinear Matrix Fit (matrix)


 Create or edit userdefined fitting functions

Tools:Fitting Function Builder

 Fitting Function Organizer

 Manage fitting functions by categories
 Move or share functions between categories

Tools:Fitting Function Organizer

 Fitting Function Library App

 Download fitting functions from originlab.com
 Request or Share a Function with OriginLab

Click the Fitting Function Library icon in the Apps Gallery


 Simulate a curve from a given function
 Simulate a surface from a given function

Analysis:Fitting:Simulate Curve or Analysis:Fitting:Simulate Surface

 Fit Comparison

 Compare fit results from two datasets using one function function
 Compare fitting results for one dataset using two fitting functions
 Control of Significance Level 

Analysis:Fitting:Compare Datasets or Analysis:Fitting:Compare Models (workbook, graph)

 Fit and Rank Functions

 Compare fit results of two or more functions for a single dataset

Analysis:Fitting:Rank Models (workbook, graph)

Peak Analysis
Peak AnalysisBatch Peak Analysis
Origin provides several tools for peak analysis. With these tools, you can define and subtract baselines, find peaks, integrate peaks, and fit peaks. Some tools are available only in OriginPro.
 A number of free Apps designed for peak analysis are available from the OriginLab File Exchange. To find and install these Apps click Analysis: Peaks and Baseline: Find Apps. The App Center will open, displaying only peakfitting related Apps. Browse available Apps and click the Download and Install button to install an App.

The table below summarizes various builtin tools available for peak analysis:
Tool Name

Features

Menu Entry


 Perform peak analysis over a region of interest Region of Interest (ROI)
 Create baseline
 Subtract baseline
 Find peaks
 Integrate peaks
 Fit peaks

Gadget:Quick Peaks (graph)


 Pick multiple peaks
 Fit peaks

Analysis:Peaks and Baseline:Multiple Peak Fit (graph, workbook)


 Create baseline
 Subtract baseline
 Find peaks
 Integrate peaks
 Fit multipeak datasets
 Fit baseline
 Find hidden peaks
 Compute many peak characteristics

Analysis:Peaks and Baseline:Peak Analyzer (graph, workbook)


 Use a theme file created using Peak Analyzer tool
 Perform batch peak analysis on multiple datasets

Analysis:Peaks and Baseline:Batch Peak Analysis Using Theme (graph, workbook)

 Peak Analyzer: Increase number of points in Fitted Curves Plot for drawing smoother fit curve (Fit Peaks (Pro) > Result > Configure Graph > Fitted Curves Plot > X Data Points for Individual Peak). 
Signal Processing
Origin provides signal processing tools for many tasks, including producing signal transforms, smoothing/filtering, and correlation on 1D and 2D signals. Advanced tools are available in OriginPro.
You may refer to the tables below for the signal processing tools and their menu entry.
Signal Transforms
Signal Processing, Transforms
Filtering
Signal Processing, Filtering
Filtering, Signal Processing
FFT
Tools

Menu Entry


Analysis:Signal Processing:FFT Filters (workbook, graph)

 2D FFT Filter

Analysis:Signal Processing:2D FFT Filters (matrix)

 IIR Filter Design

Analysis:Signal Processing:IIR Filter (workbook, graph)

Smoothing
Signal Processing, Smoothing
Smoothing
 For Origin 2022, Column Factor and Row Factor are added to the msmooth dialog to control the degree of smoothing. 
Tools

Menu Entry


Analysis:Signal Processing:Smooth (workbook, graph, matrix)

Correlation
Signal Processing, Correlation
Tools

Menu Entry


Analysis:Signal Processing:Correlation (workbook, graph)

 2D Correlation

Analysis:Signal Processing:2D Correlation (matrix)

Convolution
Convolution
Tools

Menu Entry


Analysis:Signal Processing:Convolution (workbook, graph)

Wavelet Analysis (Pro Only)
Wavelet Analysis
Tools

Menu Entry

 Continuous Wavelet Transform
 Discrete Wavelet Transform (Decomposition)
 Inverse Discrete Wavelet Transform (Reconstruction)
 MultiScale Wavelet Decomposition
 Smoothing
 Noise Removal

Analysis:Signal Processing:Wavelet Analysis (workbook, graph)

 2D Wavelet Decomposition
 2D Wavelet Reconstruction

Analysis:Signal Processing:Wavelet Analysis (matrix)

Other Advanced Tools (Pro Only)
Signal Processing, Decimation
Signal Processing, Coherence
Signal Processing, Envelope Curves
Signal Processing, Rise Time
Tools

Menu Entry


Gadget:Rise Time (graph)


Analysis:Signal Processing:Decimation (workbook, graph)


Analysis:Signal Processing:Coherence (workbook, graph)


Analysis:Signal Processing:Envelope (workbook, graph)

Image Processing
Image Processing
Origin provides a collection of tools for basic image processing. These tools are accessible from the Image menu when a matrixbook is active. Some tools are only.
The tools are organized in the following submenus:
 Image:Adjustments
 Image:Arithmetic Transforms
 Image:Conversion
 Image:Geometric Transforms
 Image:Spatial Filters
Topics for Further Reading
