PeakMax / Computation Layer

Identify local maximum peaks in a numeric sequence, returning a boolean column. Similar to scipy.signal.find_peaks() or R's pracma::findpeaks(). A local maximum occurs when a value is greater than both its immediate neighbors.

Mathematical condition: $y_{i} = {t r u e f a l se if x_{i - 1} < x_{i} > x_{i + 1} otherwise$

Common applications:

Signal processing (peak detection)
Time series analysis (cycle peaks)
Scientific data analysis (spectrum peaks)
Market analysis (price peaks)
Sensor data processing (maximum readings)
Pattern recognition (feature detection)
Anomaly detection (local maxima)

Note: First and last rows always return false as they lack complete neighbors.

Table

Transforms

[, ...]

Select

column

The numeric column to find local maxima in. Typical inputs:

Time series data (prices, measurements)
Signal data (wavelengths, amplitudes)
Sequential measurements (sensor readings)
Ordered observations (experimental data)

AsColumn

name

Name for the new column. If not provided, the system generates a unique name. If AsColumn matches an existing column, the existing column is replaced. The name should follow valid column naming conventions.