Dalby uses the sparse sources of the period to perform what she calls "literary archaeology".
If you look at cost per calorie (a reasonable measure, since calories are the one thing all food has in common, and we all need about 2,000 of them every day), nutrient-dense vegetables and fruits cost far more, on average, than the ubiquitous, nutrition-sparse sources of calories: refined grains, sugar and vegetable oil.
The common structure property of the sparse source vectors suggests the application of a group sparse reconstruction.
On the other hand, the minimum description length (MDL) method, used in DOA/MSL and spectral estimation, determines the number of sparse source locations or frequencies.
The effect of reverberation in sparse source localization was studied by the authors in a previous work [30].
The first step of Table 16 shows a linear model for the SCA problem, the second step consists of estimating the mixing matrix A using sparsity information, and finally the third step is to estimate the sparse source representation based on the estimate of A[17].
We can see from the figure that the non-sparse source (p=0.5) has a higher saturation rate than sparse source (p=0.1). Figure 2 Information-rate bounds of compressive cooperation for sources at different sparsities.
The ideal solution to the LP analysis problem of Equation 2 so as to retrieve the sparse excitation source of voiced sounds, is to directly minimize the number of non-zero elements of the residual vector, i.e., its cardinality or the so-called l0-norm [11].
In [191, 192] separation of sparse sources with different morphologies has been presented by developing a multichannel morphological component analysis approach.
For instantaneous separation of sparse sources, the common approach used by most researchers is to attempt to maximize the sparsity of the extracted signals at the output of the separator.
