课程作业时的图论中KM算法源码

清华大学出版社《matlab控制系统应用于实例》源码三部分(Tsinghua University Press " matlab examples control system used" source of three parts)

实现suzuki信道模型的仿真,同时包含大尺度、小尺度衰落(to simulate suzuki channel model，include large scale fading and small scale fading)

This is very simple code for neural network fitting in Matlab and comparing with linear regression.

基于KL变换的人脸识别技术，仅供参考，matlab文件(The technology of face recognition based on KL transform, for reference only, the matlab file)

这是vblast的仿真，这个仿真是通过ofdm技术做的，其中还有qpsk、16qam、bpsk的调用等(This is vblast simulation, the simulation is done by ofdm technology, in which there qpsk, 16qam, bpsk of calls, etc.)

DCT水印源码 整理自lufei的水印代码 不可见数字水印(DCT watermark since finishing lufei source code is not visible watermark digital watermarking)

图片（bmp,jpg等）与DAT格式文件相互转换，实现DSP读取，存取图像，另附《Matlab辅助DSP进行图像处理应用开发》(Photo (bmp, jpg, etc.) and DAT format files converted with each other to achieve DSP read, access images, attached " Matlab-assisted DSP for image processing application development" )

基于谢菲尔德大学工具箱的matlab程序，亲测可用

：介绍了扩展卡尔曼滤波算法和无迹变换(unscented transformation，UT)算法，并对扩展卡尔曼滤波算法(EKF)和无 迹卡尔曼滤波算法(UKF)进行比较，阐明了UKF优于EKF。在此基础上，提出了一种基于Unscented变换(uT)的高斯和滤 波算法，该算法首先通过合并准则得到适当个数的混合高斯模型，逼近系统中非高斯噪声的概率密度(: Introduction of the extended Kalman filter algorithm and unscented transform (unscented transformation, UT) algorithm, the extended Kalman filter algorithm (EKF) and unscented Kalman filter (UKF) for comparison to clarify the UKF is superior to EKF. On this basis, we propose an approach based on Unscented Transform (uT) and the Gaussian filtering algorithm, which first of all, by merging the appropriate number of criteria to be a mixture of Gaussian model, which was close to the system of the Central African Gaussian noise probability density)

说明：  用动量梯度下降法训练BP网络 已知输入向量为P=[-1,-2,3,1 -1,1,5,3]，目标输出为T=[-1,-1,1,1]。 (Gradient descent with momentum BP network training input vector is known as P = [-1,-2,3,1 -1,1,5,3], the target output for the T = [-1,-1,1, 1].)