How to resolve the algorithm Deconvolution/1D step by step in the Mathematica / Wolfram Language programming language
How to resolve the algorithm Deconvolution/1D step by step in the Mathematica / Wolfram Language programming language
Table of Contents
Problem Statement
The convolution of two functions
F
{\displaystyle {\mathit {F}}}
and
H
{\displaystyle {\mathit {H}}}
of an integer variable is defined as the function
G
{\displaystyle {\mathit {G}}}
satisfying for all integers
n
{\displaystyle {\mathit {n}}}
. Assume
F ( n )
{\displaystyle F(n)}
can be non-zero only for
0
{\displaystyle 0}
≤
n
{\displaystyle {\mathit {n}}}
≤
|
F
|
{\displaystyle |{\mathit {F}}|}
, where
|
F
|
{\displaystyle |{\mathit {F}}|}
is the "length" of
F
{\displaystyle {\mathit {F}}}
, and similarly for
G
{\displaystyle {\mathit {G}}}
and
H
{\displaystyle {\mathit {H}}}
, so that the functions can be modeled as finite sequences by identifying
f
0
,
f
1
,
f
2
, …
{\displaystyle f_{0},f_{1},f_{2},\dots }
with
F ( 0 ) , F ( 1 ) , F ( 2 ) , …
{\displaystyle F(0),F(1),F(2),\dots }
, etc. Then for example, values of
|
F
|
= 6
{\displaystyle |{\mathit {F}}|=6}
and
|
H
|
= 5
{\displaystyle |{\mathit {H}}|=5}
would determine the following value of
g
{\displaystyle {\mathit {g}}}
by definition. We can write this in matrix form as: or For this task, implement a function (or method, procedure, subroutine, etc.) deconv to perform deconvolution (i.e., the inverse of convolution) by constructing and solving such a system of equations represented by the above matrix
A
{\displaystyle A}
for
h
{\displaystyle {\mathit {h}}}
given
f
{\displaystyle {\mathit {f}}}
and
g
{\displaystyle {\mathit {g}}}
.
h = [-8,-9,-3,-1,-6,7] f = [-3,-6,-1,8,-6,3,-1,-9,-9,3,-2,5,2,-2,-7,-1] g = [24,75,71,-34,3,22,-45,23,245,25,52,25,-67,-96,96,31,55,36,29,-43,-7]
Let's start with the solution:
Step by Step solution about How to resolve the algorithm Deconvolution/1D step by step in the Mathematica / Wolfram Language programming language
This Wolfram code defines a function deconv
, which performs deconvolution of two sequences f
and g
. Deconvolution is the process of finding a signal f
that, when convolved with another signal g
, produces a given output signal g
.
Here's a detailed breakdown of the code:
-
The
SparseArray
function is used to create a sparse matrixA
with dimensionsLength[g] x (Length[f] - 1)
.-
The table
Table[Band[{n, 1}] -> f[[n]], {n, 1, Length[f]}]
creates a list of rules for each column of the matrixA
. Each rule specifies that a band of width 1 starting at rown
will have the corresponding value from the sequencef
. -
The dimensions
{Length[g], Length[f] - 1}
ensure that the matrixA
has the appropriate size.
-
-
The
LinearSolve
function is used to solve the system of linear equations represented by the matrixA
and the vectorg
. The result of this operation is a vector of lengthLength[g] - Length[f] + 1
. -
The
Take
function is used to extract the firstLength[g] - Length[f] + 1
elements from the solution vector, which corresponds to the deconvolved signalf
.
In summary, the deconv
function takes two sequences f
and g
as input and returns the deconvolved signal f
. It uses a sparse matrix formulation to efficiently solve the deconvolution problem.
Source code in the wolfram programming language
deconv[f_List, g_List] :=
Module[{A =
SparseArray[
Table[Band[{n, 1}] -> f[[n]], {n, 1, Length[f]}], {Length[g], Length[f] - 1}]},
Take[LinearSolve[A, g], Length[g] - Length[f] + 1]]
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