|
MathWorks Inc
fsolve routine in Fsolve Routine In, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more https://www.bioz.com/result/fsolve routine in/product/MathWorks Inc Average 90 stars, based on 1 article reviews
fsolve routine in - by Bioz Stars,
2026-03
90/100 stars
|
Buy from Supplier |
|
MathWorks Inc
gradient based nonlinear programming solver fmincon ![]() Gradient Based Nonlinear Programming Solver Fmincon, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more https://www.bioz.com/result/gradient based nonlinear programming solver fmincon/product/MathWorks Inc Average 90 stars, based on 1 article reviews
gradient based nonlinear programming solver fmincon - by Bioz Stars,
2026-03
90/100 stars
|
Buy from Supplier |
|
MathWorks Inc
matlab solver fmincon ![]() Matlab Solver Fmincon, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more https://www.bioz.com/result/matlab solver fmincon/product/MathWorks Inc Average 90 stars, based on 1 article reviews
matlab solver fmincon - by Bioz Stars,
2026-03
90/100 stars
|
Buy from Supplier |
Image Search Results
Journal: IEEE transactions on signal processing : a publication of the IEEE Signal Processing Society
Article Title: Parametric Signal Estimation Using the Cumulative Distribution Transform
doi: 10.1109/tsp.2020.2997181
Figure Lengend Snippet: Average elapsed time for CDT, MUSIC, and WBAF based estimators. Experiments were run using MATLAB version: 9.4.0 (R2018a) on a computer with an Intel Xeon(R) CPU E5-2630 v3 processor running at 2.40 GHz using 32 GB of RAM.
Article Snippet: To implement a continuous delay estimator, an optimization problem is designed that provides maximum likelihood estimates, τ ̃ = argmax τ − ∑ i = 0 N − 1 z η ( t i ) z ( t i − τ ) (40) To solve this optimization problem we exploit a
Techniques: