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Introduction

NeurOn-Line provides a number of blocks that let you perform operations on scalar values, such as arithmetic, averaging, filtering, delaying, and applying your own functions.

You can find the Scalar Blocks palette under the Data Processing submenu of the Palettes menu:

Performing Arithmetic Operations

These blocks let you add, subtract, multiply, and divide data:

The Summation block adds any number of input values.
The Difference block subtracts one value from another.
The Change Sign block inverts the sign of a values.
The Bias block adds a constant value to its input.
The Multiplication block multiplies any number of input values.
The Quotient block divides one input value by another.
The Inverse block passes the inverse of a value.
The Gain block multiplies its input by a constant value.

Adding and Filtering Noise

The First-Order Exponential Filter block performs low-pass filtering and is useful for noise reduction.
The Outlier Filter block passes only those values that stay inside the range. This filter is useful for ignoring large sampling errors and impossibly extreme sensor readings.

Averaging Values

These blocks compute the average or median value of their input values:

The Average Input Value block computes the average value of any number of input values.
The Median Input Value block computes the median value of any number of input values.
The Moving Average block computes the average of the history of values.

Stopping and Pausing Data

These blocks let you stop or pause the flow of data:

The Data Delay block holds a value for a set period of time.
The Data Inhibit block stops data propagation as long as an inference input has a given value.
The Data Shift block delays passing its input value until it's received more input values.

Outputting Data

These blocks let you set a block's attribute, a G2 parameter, or a G2 variable to the input data value:

The Set Attribute block sets another block's attribute to the input data value.
The Data Output block sets a G2 parameter or variable to the input data value.

Computing Statistical Properties

The Variance block computes the variance of the history of values.

Defining Your Own Function

These blocks let you apply your own function or a built-in G2 function to its input value:

The Arithmetic Function block lets you apply a function with one argument.
The Arithmetic Function of Two Arguments block lets you apply a function with two arguments.

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Copyright © 1996, Gensym Corporation, Inc.