Errors in defining the sampling framework can also lead to errors.
The 1-bit compressive sampling framework originally introduced in [3] is briefly described as follows.
The study employed the use of Land Degradation Sampling Framework (LDSF) to characterize the sites.
The sampling procedure followed this order: a list of all the households residing in each respective study village was compiled to design a sampling framework, and then, each household within the sampling framework was assigned a number consecutively (Babbie 2016).
These parameters can be interpreted in terms of the odds ratios defined for the retrospective sampling framework.
In this paper, we have selected D = N to satisfy the compressive sampling framework expressed by (12).
A computer generated randomised table number was used to sample the required number of households from the entire sampling framework.
Our sampling framework is based on the existing random demodulation (RD) architecture, which is easy to implement in AE monitoring systems.
Experiments with real hardware were also performed, results of which confirm the ability of stochastic sampling framework to overcome the Nyquist limit of analog-to-digital converters.
The rest of the paper is organized as follows: Section 2 provides the system model along with the FAM algorithm and compressive sampling framework.
Land managers typically make post hoc assessments of the effectiveness of fuel reduction burning (FRB), but often lack a rigorous sampling framework.
