svm-lunwen

Sequential Importance sampling in PF

该模型是模拟信号数字传输系统，可以把一个模拟信号通过PCM编码译码，信道2FSK编码译码，再通过一个二进制对称信道，可以恢复出原模拟信号(The model is the analog signal digital transmission system, an analog signal by the PCM codec, channel 2FSK codec, and then through a binary symmetric channel, you can restore the original analog signal)

产生另外一种BA无标度网路模型，然后可以计算及网路参数(Produce another BA scale-free network model, which can then be calculated and network parameters)

用于计算相机外参数，即CCD像素坐标与三维世界坐标的对应关系，输入参数是世界坐标标定点对，输出外参数矩阵(Outside the parameters used to calculate the camera, that the correspondence between CCD pixel coordinates and the coordinates of the three-dimensional world, the world coordinate input parameter calibration point right, outside the parameters of the output matrix)

this is nicer project idea u can use it for futuer prospect

混沌多步预测算法 可实现较为精确的多步预测 实用性较强(Chaotic multi-step prediction algorithm can achieve a more precise prediction of the multi-step practical stronger)

matlab环境下对使用or规则的融合判决算法的性能仿真(matlab environment, regulations on the use or performance of the fusion decision algorithm simulation)

ICEEMD-ApEn代码，包括ICEEMD源码，并结合近似熵筛选IMFs(Code of ICEEMD-ApEn, including ICEEMD source code combine Aproximate Entropy to IMFs)

利用叠加和梯度值来分别进行人脸识别，正确率分别为40 和96 。Matlab 代码。(Superposition and the gradient values, respectively, face recognition, the correct rates were 40 and 96 . Matlab code.)

说明：  非线性分类，SVM理论为基础，调整参数改变分类（聚类的）边界的松紧程度(Nonlinear classification, SVM theory, adjust the parameters to change the classification (clustering) the degree of elastic boundary)