Biomedical-Image-Processing

ldpc译码算法，采用LOG算法，减少计算复杂度(ldpc decoding algorithm used LOG algorithm, to reduce the computational complexity)

采用matlab语言进行编程，描述粒子群算法实际运行的matlab例程，很有帮助(Using matlab programming language to describe the actual operation of the PSO algorithm matlab routines, helpful)

模糊PID控制器matlab simulink仿真,自适应模糊PID控制的仿真文件和模糊规制编写(Fuzzy PID controller matlab simulink simulation, simulation of adaptive fuzzy PID control and fuzzy regulatory documents prepared)

这是一个自适应滤波的matlab源程序，已经通过调试，可以直接看图(This is an adaptive filtering matlab source, has been through the debugging, you can directly Figure)

program to find the k - nearest neighbors (kNN) within a set of points. Distance metric used: Euclidean distance

自适应滤波器中MUSIC算法的MATLAB程序·(Adaptive filter algorithm in the MATLAB program MUSIC)

单目标和多目标全局优化算法设计，这是一篇硕士论文。(Single objective and multi-objective global optimization algorithm, which is a master' s thesis.)

A Novel Image Reconstruction Algorithm Based on Concatenated Dictionary This paper presents a novel method for image reconstruction, which decomposites the image by concatenating a redundant dictionary of several bases and then reconstruct the image efficiently by means of Matching Pursuit algorithm. The proposed method constructs the concatenated dictionary with cosine bases, wavelet bases and contourlet bases, which will lead to a better approximation of the original image. The experimental results show that the proposed algorithm can greatly reduce the computational complexity and generate a better reconstruction effect compared with previous methods.(A Novel Image Reconstruction Algorithm Based on Concatenated Dictionary This paper presents a novel method for image reconstruction, which decomposites the image by concatenating a redundant dictionary of several bases and then reconstruct the image efficiently by means of Matching Pursuit algorithm. The proposed method constructs the concatenated dictionary with cosine bases, wavelet bases and contourlet bases, which will lead to a better approximation of the original image. The experimental results show that the proposed algorithm can greatly reduce the computational complexity and generate a better reconstruction effect compared with previous methods.)

mixed integer non linear programming

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