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Process floating-point numbers with binary amplitude gating for categorization/filtering based on threshold values.
The AK_BinaryAmplitudeGate node is designed to process a list of floating-point numbers by applying a binary amplitude gating mechanism. This node is particularly useful in scenarios where you need to categorize or filter data based on a specific threshold. By setting a threshold value, the node evaluates each float in the list and assigns it a new value based on whether it falls below or meets/exceeds this threshold. This operation is beneficial for audio processing, data normalization, or any application where binary decision-making is required. The node simplifies the process of transforming continuous data into discrete categories, making it easier to handle and analyze.
The float_list
parameter is a list of floating-point numbers that serves as the input data for the node. This list is the primary data set that will be evaluated against the threshold to determine the output values. The node processes each float in this list, applying the binary amplitude gate logic to transform the data based on the specified threshold.
The min_value
parameter specifies the value to assign to any float in the float_list
that is below the defined threshold. This parameter allows you to set a consistent value for all data points that do not meet the threshold criteria, effectively categorizing them into a lower category. The default value is 0.0, with a range from -1e10 to 1e10, and it can be adjusted in increments of 0.001.
The max_value
parameter defines the value to assign to any float in the float_list
that is equal to or exceeds the threshold. This parameter is used to categorize data points that meet or surpass the threshold into a higher category. The default value is 1.0, with a range from -1e10 to 1e10, and it can be adjusted in increments of 0.001.
The threshold
parameter is the critical value used to determine how each float in the float_list
is categorized. Floats below this threshold are assigned the min_value
, while those equal to or above it are assigned the max_value
. This parameter is essential for defining the boundary between the two categories. The default threshold is 0.5, with a range from -1e10 to 1e10, and it can be adjusted in increments of 0.001.
The output_list
is the result of applying the binary amplitude gate to the float_list
. It is a list of floats where each value has been transformed based on the threshold, min_value
, and max_value
parameters. This output provides a clear categorization of the input data, making it easier to analyze or use in subsequent processing steps.
threshold
value is set appropriately for your specific application. This will help in accurately categorizing your data.min_value
and max_value
settings to see how they affect the output, especially if you are using the node for audio processing or data normalization tasks.float_list
parameter must be a list of floating-point numbers. If the input is not a list or contains non-float elements, the node may not function correctly.float_list
is a valid list of floats. Convert any non-float elements to floats before passing them to the node.threshold
parameter must be within the specified range of -1e10 to 1e10. If it is set outside this range, the node may not behave as expected.threshold
value to fall within the acceptable range. Use the step size of 0.001 to fine-tune the threshold as needed.RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Playground, enabling artists to harness the latest AI tools to create incredible art.