搜索资源列表
MATLAB-fenge-code
- 在一次作业设计中，用到的小程序，各种分割算法的实验 包括阈值分割，多阈值分割，二维最大熵分割-In one job design, the use of small procedures, a variety of experiments, including segmentation algorithm threshold segmentation, multi-threshold segmentation, 2D Maximum Entropy Segmentation
fushangST1
- 基于负熵最大的ICA 算法在matlab运行的代码-Based on negative entropy maximum ICA algorithm in matlab code that runs
yuzhi
- 利用最大熵阈值，来进行分水岭分割算法，进行有效分割 -Using the maximum entropy threshold for watershed segmentation algorithm for effective segmentation
TuxiangFazhifenge
- 数字图像阀值分割各种方法 最大熵 OTSU 双峰法 迭代法 分水岭算法 -Digital image threshold segmentation methods maximum entropy OTSU method of bimodal iterative method of watershed algorithm
paopie_v88
- 基于负熵最大的独立分量分析，基于chebyshev的水声信号分析，最大信噪比的独立分量分析算法。- Based on negative entropy largest independent component analysis, Based chebyshev underwater acoustic signal analysis, SNR largest independent component analysis algorithm.
fengheng
- ICA（主分量分析）算法和程序，基于负熵最大的独立分量分析，分数阶傅里叶变换计算方面。- ICA (Principal Component Analysis) algorithm and procedures, Based on negative entropy largest independent component analysis, Fractional Fourier transform computing.
foumen_v30
- 基于负熵最大的独立分量分析，计算多重分形非趋势波动分析，结合PCA的尺度不变特征变换(SIFT)算法。- Based on negative entropy largest independent component analysis, Calculate the multifractal trend fluctuation analysis, Combined with PCA scale invariant feature transform (SIFT) algorithm.
lounun_v69
- 基于欧几里得距离的聚类分析，基于负熵最大的独立分量分析，基于掌纹识别的在线身份验证 识别算法本科毕设。- Clustering analysis based on Euclidean distance, Based on negative entropy largest independent component analysis, Verify recognition algorithm based on palmprint recognition undergraduate complete
fenyou
- 光纤无线通信系统中传输性能的研究，基于负熵最大的独立分量分析，利用自然梯度算法。- Fiber Transmission wireless communication system performance, Based on negative entropy largest independent component analysis, Use of natural gradient algorithm.
fouhui_v34
- 一种流形学习算法（很好用），基于负熵最大的独立分量分析，包括数据分析、绘图等等。- A fluid manifold learning algorithm (good use), Based on negative entropy largest independent component analysis, Data analysis, plotting, etc..
nunsei_v69
- 基于小波变换的数字水印算法matlab代码，采用累计贡献率的方法，基于负熵最大的独立分量分析。- Based on wavelet transform digital watermarking algorithm matlab code, The method of cumulative contribution rate Based on negative entropy largest independent component analysis.
前景提取
- 本文展示了一种自动识别视频中移动目标的方法。论文中提取移动目标通过帧序列，这种方法不需要先验知识，比如：时间阈值调整。基于相邻帧的连续对称差分，我们能得到全分辨率显著图；然后利用最大熵方法计算阈值决定候选区域和获得兴趣点的种子；最后用修改的模糊生长方法获得最终的结果。本文中提出的算法是有效的、具有鲁棒性的。实验结果也证明它具有很好的效果。(This paper presents a method for automatic recognition of moving targets in vid
Maximum entropy
- 最大熵算法计算数据的概率密度曲线 ,参看run.r文件和density.r文件.(PDF calculation given Maximum entropy algorithm)
matlab基于遗传算法的最大熵值法的双阈值图像分割
- 基于遗传算法实现灰度图像二阈值分割，使图像分割的更合理(Two threshold segmentation of gray image based on genetic algorithm, which makes the image segmentation more reasonable)
最大熵值法
- 用于相关的算法研究，还可以进行一定的参数模型统计(Used for related algorithm research, but also can carry on the certain parameter model statistics)
信号处理第三章
- 用AR 模型的自相关法估计信号的功率谱，用AR 模型的Burg 算法估计信号的功率谱，最大熵功率谱估计，用自相关矩阵分解的MUSIC 算法估计信号的功率谱(The power spectrum of the signal is estimated using the AR model autocorrelation method. The power spectrum of the signal is estimated using the Burg model of the AR model.
基于Burg算法的最大熵谱估计
- 网上找的burg算法，可以借鉴一下。也可以通过百度文库搜寻作者。(The Burg algorithm on the Internet can be used for reference. You can also search for the author through the Baidu library.)
最大熵滤波算法matlab仿真
- 包含基于Huber函数和最大相关熵的抗差滤波算法，以及与卡尔曼滤波算法的对比，用于GNSS导航定位粗差处理。同时主函数中包含混合高斯随机数生成方法。(The Huber function and maximum correntropy criterion based robust Kalman filter is included, which can be used for biases in measurements for GNSS positioning. The mixed Gauss
二维最大熵与交叉熵结合
- 二维的最大熵与交叉熵结合的图像分割算法，有助与提高图像分割中阈值选取的稳定性。(The combination of two-dimensional maximum entropy and cross-entropy is helpful to improve the stability of threshold selection in image segmentation.)
东北大学图像处理作业
- 东北大学图像处理课第一次作业，主要是双边滤波算法和最大熵复原算法，亲测可运行。其中内有相关的word文档，和分割效果图(the homework of image processing in northeastern university.it mainly included two algorithms about bilateral filering and max-weight entropy)