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LFM
- 针对贝叶斯滤波过程中存在的目标跟踪问题,提出几种典型的贝叶斯滤波方法,如EKF, UKF, PF和UPF 等,基于这些方法所构 建的框架,对它们进行性能测试和比较,并在非线性环境下,讨论这些方法的特点,仿真实验结果表明,在非线性非高斯环境下,UPF 方 法的性能是最优的。 -According to the bayesian filtering occurred in the process of target tracking problem, this paper puts forw
RBFNN
- RBF网络实现高斯函数的设计,很详细的过程 -RBF network Gaussian function design, very detailed process
Gaussian-process
- 高斯过程的编程实现预测,含有文档,程序,数据,以及参考文献。-Programming Gaussian process to achieve prediction, containing documents, programs, data, and references.
Filtering-process
- 对图像分别进行平均滤波,高斯滤波,中值滤波-The images are averaged filtering, Gaussian filtering, median filtering
image-sharpening-process
- 对图像进行高斯拉普拉斯log锐化和二阶拉普拉斯锐化-The image log Gaussian Laplacian sharpening and second sharpening Laplace
rxibj
- 单径或多径瑞利衰落信道仿真,相关分析过程的matlab方法,高斯白噪声的生成程序。- Single path or multipath Rayleigh fading channel simulation, Correlation analysis process matlab method, Gaussian white noise generator.