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zwbond's Projects

atom icon atom

Acoustic tomography of the atmosphere

blogofxinlongwang icon blogofxinlongwang

the xelatex version of the Blog of Prof. Xinlong Wang: http://xlwangnu.blog.163.com/

deerlab icon deerlab

Python package for data analysis for dipolar EPR spectroscopy

insitu_sim_python icon insitu_sim_python

For the simulation of the measurement of acoustic impedance (in various scenaries)

inverseproblem icon inverseproblem

This function inverts ill conditioned matrices using an iterative solution to the Tikhonov regularization problem. It takes three arguments: A, the matrix, l, lambda the contraint, and k, the number of iterations. In this iterative Tikhonov regularization model, also known as ridge regression, I introduce an iterative solution to the ill-posed linear inverse problem. My approach to the inverse problem can be viewed as a generalization of existing methods, where, in addition to the regularization parameter, I introduce a second regularization parameter as the number if iterations. This work is motivated by the fact that the least squares solution does not give a reasonable result when the data matrix is singular or ill-conditioned. Test cases show that the approach is either better or significantly better than existing L2 regularization methods.

optpath icon optpath

spin-off of scikit-fmm to find the optimal path

pykonal icon pykonal

Travel-time calculator based on the fast-marching method solution to the Eikonal equation.

pysart icon pysart

Tomographic reconstruction using the Simultaneous Algebraic Reconstruction Technique (SART) implemented in python.

python icon python

All Algorithms implemented in Python

reliable_acoustic_path_tomography icon reliable_acoustic_path_tomography

Python files to perform underwater acoustic ray tracing using RAP experimental data and linear inversion theory to solve for new SS field and hydrophone position

scikit-fmm icon scikit-fmm

scikit-fmm is a Python extension module which implements the fast marching method.

scikit-mpe icon scikit-mpe

Minimal path extraction using the fast marching method

study-use-latex icon study-use-latex

LaTeX使用过程笔记、有用网址收集,方便自己与他人查阅

thinkdsp icon thinkdsp

Think DSP: Digital Signal Processing in Python, by Allen B. Downey.

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