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cvx matlab package  (MathWorks Inc)


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    MathWorks Inc cvx matlab package
    Summary of tES optimization methods.
    Cvx Matlab Package, 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/product/matlab+package+cvx/pmc11172989-34-25-26
    Average 90 stars, based on 1 article reviews
    cvx matlab package - by Bioz Stars, 2026-10
    90/100 stars

    Images

    1) Product Images from "Perspectives on Optimized Transcranial Electrical Stimulation Based on Spatial Electric Field Modeling in Humans"

    Article Title: Perspectives on Optimized Transcranial Electrical Stimulation Based on Spatial Electric Field Modeling in Humans

    Journal: Journal of Clinical Medicine

    doi: 10.3390/jcm13113084

    Summary of tES optimization methods.
    Figure Legend Snippet: Summary of tES optimization methods.

    Techniques Used:

    Related Articles

    other:

    Article Title: Neural silences can be localized rapidly using noninvasive scalp EEG
    Article Snippet: SilenceMap was developed in MATLAB, using standard toolboxes, and the CVX MATLAB package , .

    Article Title: PROMP: A sparse recovery approach to lattice-valued signals
    Article Snippet: Article history: Received 9 February 2016 Received in revised form 26 September 2016 Accepted 29 December 2016 Available online xxxx Communicated by Charles K. Chui MSC: 52A41 60D05 94A05

    Article Title: Efficient Localization Method Based on RSSI for AP Clusters
    Article Snippet: Both the SDP RSS algorithm and the SOCP1 algorithm utilized the MATLAB package CVX with SeDuMi [ ] as a solver to solve convex optimization problems.

    Article Title: Quantifying magic for multi-qubit operations
    Article Snippet: The robustness of magic can be calculated using standard linear programming techniques [ 45 ] (for example, using the Matlab package CVX [ 46 ]).

    Article Title: Efficient Localization Method Based on RSSI for AP Clusters.
    Article Snippet: Both the SDPRSS algorithm and the SOCP1 algorithm utilized the MATLAB package CVX with SeDuMi [27] as a solver to solve convex optimization problems.

    Article Title: Noninvasive Activation Imaging of Ventricular Arrhythmias by Spatial Gradient Sparse in Frequency Domain—Application to Mapping Reentrant Ventricular Tachycardia
    Article Snippet: However, (11) - (13) formulates a convex problem that can be solved with CVX, a MATLAB package specialized in solving convex programs [52], [53].

    Article Title: Increasing Axial Resolution of Ultrasonic Imaging With a Joint Sparse Representation Model
    Article Snippet: The axial resolution of ultrasonic imaging is confined by the temporal width of acoustic pulse generated by the transducer, which has a limited bandwidth.. Deconvolution can eliminate this effect and, therefore, improve the resolution.. However, most ultrasonic imaging methods perform deconvolution scan line by scan line, and therefore the information embedded within the neighbor scan lines is unexplored, especially for those materials with layered structures such as blood vessels.

    Control:

    Article Title: Estimation of the dispersion curves of pipe guided waves by field measurement
    Article Snippet: The guided-wave-based non-destructive testing (NDT) technologies have been widely used for long range inspection of pipelines.. Due to the dispersion and multi-modes characteristics of guided waves, the signal interpretation relies on the knowledge of dispersion curves.. In present work, a field-measurement-based method is proposed for the inverse estimation of dispersion curves to achieve prior-knowledge-free guided wave inspections.



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    Image Search Results


    Summary of tES optimization methods.

    Journal: Journal of Clinical Medicine

    Article Title: Perspectives on Optimized Transcranial Electrical Stimulation Based on Spatial Electric Field Modeling in Humans

    doi: 10.3390/jcm13113084

    Figure Lengend Snippet: Summary of tES optimization methods.

    Article Snippet: [ ] , Guler et al., 2016 , Directional Maximization , ・Max total current ・Max per electrode current ・Max non-target energy (focality) , Convex , CVX Matlab package [ ] , Evolution of [ ] (P5) (more constraints) .

    Techniques:

    List of algorithm implementations in different pipelines. For a lot of steps, different algorithm implementation can be chosen by the user based on features of the data. In such cases, we only list the default and most commonly used algorithms here.

    Journal: eLife

    Article Title: Minian, an open-source miniscope analysis pipeline

    doi: 10.7554/eLife.70661

    Figure Lengend Snippet: List of algorithm implementations in different pipelines. For a lot of steps, different algorithm implementation can be chosen by the user based on features of the data. In such cases, we only list the default and most commonly used algorithms here.

    Article Snippet: Spatial and temporal updates , CNMF with CVXPY as deconvolution backend , CNMF-E with Oasis as deconvolution backend , CNMF with CVX MATLAB package as deconvolution backend , Noise cutoff frequency Expected size of neurons Sparse penalty.

    Techniques: