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( a ) Source signal. ( b ) Entropy (Shannon) vs. decomposition level, wavelet (Daubechies) basis. ( c ) Approximation error vs. decomposition level, wavelet (Daubechies) basis. ( d ) Execution time vs. decomposition level, wavelet (Daubechies) basis. ( e ) Approximation error vs. decomposition level, extended basis. ( f ) Execution time vs. decomposition level, extended basis.

Journal: Entropy

Article Title: Optimal Estimation of Wavelet Decomposition Level for a Matching Pursuit Algorithm

doi: 10.3390/e21090843

Figure Lengend Snippet: ( a ) Source signal. ( b ) Entropy (Shannon) vs. decomposition level, wavelet (Daubechies) basis. ( c ) Approximation error vs. decomposition level, wavelet (Daubechies) basis. ( d ) Execution time vs. decomposition level, wavelet (Daubechies) basis. ( e ) Approximation error vs. decomposition level, extended basis. ( f ) Execution time vs. decomposition level, extended basis.

Article Snippet: To optimize the packet wavelet decomposition tree in MATLAB, two optimization functions based on different entropy criteria were presented [ , ].

Techniques:

( a ) Source signal. ( b ) Entropy (Log Energy) vs. decomposition level, wavelet (Daubechies) basis. ( c ) Approximation error vs. decomposition level, wavelet (Daubechies) basis. ( d ) Execution time vs. decomposition level, wavelet (Daubechies) basis. ( e ) Approximation error vs. decomposition level, extended basis. ( f ) Execution time vs. decomposition level, extended basis.

Journal: Entropy

Article Title: Optimal Estimation of Wavelet Decomposition Level for a Matching Pursuit Algorithm

doi: 10.3390/e21090843

Figure Lengend Snippet: ( a ) Source signal. ( b ) Entropy (Log Energy) vs. decomposition level, wavelet (Daubechies) basis. ( c ) Approximation error vs. decomposition level, wavelet (Daubechies) basis. ( d ) Execution time vs. decomposition level, wavelet (Daubechies) basis. ( e ) Approximation error vs. decomposition level, extended basis. ( f ) Execution time vs. decomposition level, extended basis.

Article Snippet: To optimize the packet wavelet decomposition tree in MATLAB, two optimization functions based on different entropy criteria were presented [ , ].

Techniques:

( a ) Source signal. ( b ) Entropy (Threshold, p = 0.005) vs. decomposition level, wavelet (Daubechies) basis. ( c ) Approximation error vs. decomposition level, wavelet (Daubechies) basis. ( d ) Execution time vs. decomposition level, wavelet (Daubechies) basis. ( e ) Approximation error vs. decomposition level, extended basis. ( f ) Execution time vs. decomposition level, extended basis.

Journal: Entropy

Article Title: Optimal Estimation of Wavelet Decomposition Level for a Matching Pursuit Algorithm

doi: 10.3390/e21090843

Figure Lengend Snippet: ( a ) Source signal. ( b ) Entropy (Threshold, p = 0.005) vs. decomposition level, wavelet (Daubechies) basis. ( c ) Approximation error vs. decomposition level, wavelet (Daubechies) basis. ( d ) Execution time vs. decomposition level, wavelet (Daubechies) basis. ( e ) Approximation error vs. decomposition level, extended basis. ( f ) Execution time vs. decomposition level, extended basis.

Article Snippet: To optimize the packet wavelet decomposition tree in MATLAB, two optimization functions based on different entropy criteria were presented [ , ].

Techniques:

( a ) Source signal. ( b ) Entropy (SURE, p = 0.005) vs. decomposition level, wavelet (Meyer) basis. ( c ) Approximation error vs. decomposition level, wavelet (Meyer) basis. ( d ) Execution time vs. decomposition level, wavelet (Meyer) basis. ( e ) Approximation error vs. decomposition level, extended basis. ( f ) Execution time vs. decomposition level, extended basis.

Journal: Entropy

Article Title: Optimal Estimation of Wavelet Decomposition Level for a Matching Pursuit Algorithm

doi: 10.3390/e21090843

Figure Lengend Snippet: ( a ) Source signal. ( b ) Entropy (SURE, p = 0.005) vs. decomposition level, wavelet (Meyer) basis. ( c ) Approximation error vs. decomposition level, wavelet (Meyer) basis. ( d ) Execution time vs. decomposition level, wavelet (Meyer) basis. ( e ) Approximation error vs. decomposition level, extended basis. ( f ) Execution time vs. decomposition level, extended basis.

Article Snippet: To optimize the packet wavelet decomposition tree in MATLAB, two optimization functions based on different entropy criteria were presented [ , ].

Techniques:

( a ) Source signal. ( b ) Entropy (Norm, p = 2) vs. decomposition level, wavelet (Meyer) basis. ( c ) Approximation error vs. decomposition level, wavelet (Meyer) basis. ( d ) Execution time vs. decomposition level, wavelet (Meyer) basis. ( e ) Approximation error vs. decomposition level, extended basis. ( f ) Execution time vs. decomposition level, extended basis.

Journal: Entropy

Article Title: Optimal Estimation of Wavelet Decomposition Level for a Matching Pursuit Algorithm

doi: 10.3390/e21090843

Figure Lengend Snippet: ( a ) Source signal. ( b ) Entropy (Norm, p = 2) vs. decomposition level, wavelet (Meyer) basis. ( c ) Approximation error vs. decomposition level, wavelet (Meyer) basis. ( d ) Execution time vs. decomposition level, wavelet (Meyer) basis. ( e ) Approximation error vs. decomposition level, extended basis. ( f ) Execution time vs. decomposition level, extended basis.

Article Snippet: To optimize the packet wavelet decomposition tree in MATLAB, two optimization functions based on different entropy criteria were presented [ , ].

Techniques:

Proposed algorithm (optimization, first value) vs. maximum level decomposition (no optimization, second value).

Journal: Entropy

Article Title: Optimal Estimation of Wavelet Decomposition Level for a Matching Pursuit Algorithm

doi: 10.3390/e21090843

Figure Lengend Snippet: Proposed algorithm (optimization, first value) vs. maximum level decomposition (no optimization, second value).

Article Snippet: To optimize the packet wavelet decomposition tree in MATLAB, two optimization functions based on different entropy criteria were presented [ , ].

Techniques: