carat.util.segmentSignal

carat.util.segmentSignal(signal, window_len, hop)

Segmentation of an array-like input:

Given an array-like, this function calculates the DFT of frames of the signal and stores them in bi-dimensional Scipy array.

Args:

signal (array-like): object to be windowed. Must be a one-dimensional array-like object. window_len (int): window size in samples. hop (int): frame hop between adjacent frames in seconds.

Returns:

A 2-D numpy array containing the windowed signal. Each element of this array X can be defined as:

X[m,n] = x[n+Hm]

where, H is the HOP in samples, 0<=n<=N, N = window_len, and 0<m<floor(((len(x)-N)/H)+1).

Raises:

AttributeError if signal is not one-dimensional. ValueError if window_len or hop are not strictly positives.