vsip_dvexpoavg_p - Vector Exponential Average

Core

4.3.19 vsip_dvexpoavg_p - Vector Exponential Average

void vsip_vexpoavg_f(vsip_scalar_f alpha, const vsip_vview_f *b, const vsip_vview_f *c); 
void vsip_cvexpoavg_f(vsip_cscalar_f alpha, const vsip_cvview_f *b, const vsip_cvview_f *c);

Description

This function computes the exponential average (also known as exponential moving average or first-order IIR filtering) of a vector. It updates the accumulator vector $c$ using the input vector $b$ and a smoothing factor $α$ . The operation performs element-wise exponential averaging:

ci= α·bi+(1- α)·ci

for all $i$ from 0 to $n-1$ , where $n$ is the length of the vectors, $α$ is the smoothing factor $0< α≤ 1$ , $bi$ is the current input value, and $ci$ is the accumulated average value.

The smoothing factor $α$ determines the weight of the new data relative to the accumulated average:

Smaller $α$ values (closer to 0) give more weight to the accumulated average (more smoothing)
Larger $α$ values (closer to 1) give more weight to the new data (less smoothing)

Parameters

vsip_dscalar_p alpha: Smoothing factor.
const vsip_dvview_p* b: Input vector containing the new data values.
const vsip_dvview_p* c: Input/Output vector that contains the accumulated average values on input and will store the updated averages on output.

Notes

Both vectors must have the same length.
The smoothing factor $α$ should be in the range $(0,1]$ . Values outside this range may lead to numerical instability.

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