Image_Fusion_Toolkit

八位差分相移键控误码率分析的MATLAB程序(Eight differential phase shift keying bit error rate analysis of the MATLAB program)

说明：  使用FFT分析三角波信号的频谱，讨论采样点数、采样频率对谱分辨率的影响。对数据叠加白噪声后再次分析实验结果。(FFT analysis of the use of the triangular wave signal spectrum to discuss the sampling points, the sampling frequency of the impact of spectral resolution. White noise superimposed on the data after analysis of experimental results.)

Matlab code that implements the Adams-Bashforth-Moulton Method in the context of Differencial Equations

用Matlab实现重叠保留法计算循环卷积的程序实例，课堂上完成的，希望有用(Using Matlab to achieve overlapping reservation method to calculate cyclic convolution procedure example, the completion of the classroom, and I hope useful)

Describes an image inpainting algorithm used in reconstruction and restoration of digital images

OFDM系统高斯白噪声信道下应用LS,MMSE方法信道估计的SER仿真(OFDM system under Gaussian white noise channel application of LS, MMSE channel estimation methods Simulation SER)

相关向量机(RVM)的matlab源程序，包含快速算法，内含代码使用说明。 RVM采取是与支持向量机相同的函数形式稀疏概率模型，对未知函数进行预测或分类。 优点： (1) 不仅仅输出预测目标量的点估计值,还可以输出预测值的分布. (2) 使用更少数量的支持向量,从而显著减少输出目标量预测值的计算时间. (3) RVM不需要估计过多的参数. (4) RVM对是否满足Mercer 定理的核函数没有限制,适应性更好(Relevance Vector Machine (RVM) of the matlab source code, including fast algorithm that contains code for use. RVM support vector machine is taken the same functional form sparse probabilistic model to predict the unknown function or classification. Advantages: (1) is not only the amount of output predicted target point estimates, but also the distribution of predicted values ​ ​ can be output. (2) using a smaller number of support vectors, thereby significantly reducing the output target amount predicted value calculation time. (3) RVM does not require excessive parameter estimation. (4) RVM meets Mercer theorem on the kernel function is not limited, and better adaptability)

matlab例程 bp神经网络训练算法(BP neural network training algorithm)

说明：  文件中的是图像配准过程中常用的几种提取特征点的方法(Several common methods of extracting keypoits in the process of image registration)

this file about turbine modeling