sparseSignal

Sparse digital signal Generator with given thresholds.

Utilities for sparse signal recovery suitable for compressed sensing. L1, L2 and TV penalties, DFT basis matrix, simple sparse signal generator, mutual cumulative coherence between two matrices and examples, Lp complex norm, scaling back regression coefficients.

Mehmet Suzen

R1magic

Compressive Sampling: Sparse Signal Recovery Utilities

sparseSignal function

<dl> <dt>N</dt>
<dd>Number of signal components, vector size.</dd> <dt>s</dt>
<dd>Number of spikes, significatn components</dd> <dt>b</dt>
<dd>Signal bandwidth, defaults 1.</dd> <dt>delta</dt>
<dd>Length of discrete distances among components, defaults 1e-7.</dd> <dt>nlev</dt>
<dd>Maximum value of insignificant component, relative to b, defaults to 0.05</dd> <dt>slev</dt>
<dd>Maximum value of significant component, relative to b, defaults to 0.9</dd></dl>

Arguments

Author

Sparse digital signal Generator. — sparseSignal

<dl>

 <dt>N</dt>
<dd>Number of signal components, vector size.</dd>

 <dt>s</dt>
<dd>Number of spikes, significatn components</dd>

 <dt>b</dt>
<dd>Signal bandwidth, defaults 1.</dd>

 <dt>delta</dt>
<dd>Length of discrete distances among components, defaults 1e-7.</dd>

 <dt>nlev</dt>
<dd>Maximum value of insignificant component, relative to b, defaults to 0.05</dd>

 <dt>slev</dt>
<dd>Maximum value of significant component, relative to b, defaults to 0.9</dd>

</dl>

sparseSignal: Sparse digital signal Generator.

Description

Usage

Arguments

Author