asdcal

Amplitude Spectral Density function, which supports blocks, windows, overlap, and averages.

Syntax

asdcal(vec_expr_1, vec_expr_2, type, block_size, overlap, mean-correction, window, averaging method)

vec_expr_1: The time vector of the curve.
vec_expr_2: The magnitude vector of the curve.
type: A parameter that specifies the type of Amplitude Spectral Analysis that needs to be performed.; 0 - Normalized FFT curve with True values as output across frequencies.; 1 - Normalized FFT curve with RMS values as output across frequencies.; Note: A sine wave with amplitude 1 as the true value will have an RMS of 0.71.; 3 - Power spectral density across frequencies.
block_size: The number of elements to be used for each FFT (should be a power of 2).; The minimum block size allowed is 32.; The maximum block size allowed is 131072.
overlap: The number of elements shared between consecutive blocks. This value is a percentage.
mean-correction: Determines if the mean has to be subtracted from the curve block or not.; 0 - retain the mean of the curve block.; 1 - subtract the mean from the curve block.
window: Specifies the window type that needs to be applied to the curve block.; 0 - Rectangular; 1 - Hanning
averaging method: Specifies the type of output needed across the block.; 0 - Maximum value of amplitude for a given frequency is output.; 1 - Average value of amplitude for a given frequency is output.

Curve Math Vector	Result
`x = freq(c1.x[0:4095:1])`	Given c1, the amplitude spectrum of type FFT magnitude with true values is created. The parameters set are as follows: Block - 4096 Overlap - 75% Mean correction applied to each block. Window used is rectangular. Output shown is average across blocks.
`y = asdcal(c1.x,c1.y,0,4096,75,1,0,1)`