cpsniaru

matlab实现iir滤波器。iir数字滤波器有显著特点，dsp运行速度快(matlab iir filter implementation)

A. Fusion at the Feature Extraction Level The data obtained from each sensor is used to compute a feature vector. As the features extracted from one biometric trait are independent of those extracted from the other, it is reasonable to concatenate the two vectors into a single new vector. The primary benefit of feature level fusion is the detection of correlated feature values generated by different feature extraction algorithms and, in the process, identifying a salient set of features that can improve recognition accuracy [14]. The new vector has a higher dimension and represents the identity of the person in a different hyperspace. Eliciting this feature set typically requires the use of dimensionality reduction/selection methods and, therefore, feature level fusion assumes the availability of a large number of training data.

利用最小距离分类器分类３种鸢尾属植物 load fisheriris 载入Matlab自带的鸢尾属植物数据集 每类的前40个样本用于生成代表该类的模板，后10个作为独立的测试样本(Plant data sets The first 40 of each class used to generate the samples representative of the class template 10 after the test sample as separate)

用遗传算法进行无线传感器网络的路由控制，降低WSN的能量损耗(Using genetic algorithms for wireless sensor network routing control and reduce energy consumption WSN)

matlab source code from mathworks

Matlab code On Fruit quality grading

运用ga_pso算法对svm参数优化运用ga_pso算法对svm参数优化运用ga_pso算法对svm参数优化(Use ga_pso parameter optimization algorithm svm svm use ga_pso algorithm parameter optimization using ga_pso parameter optimization algorithm svm)

说明：  使用交互式多模型技术，滤波器选择无迹卡尔曼滤波器。(We use ukf to achieve imm successfully)

day la mot chuong trinh rat la thu vi, duoc su dung rong rai tren toan the gioi

关于distributed consensus的，发表在2009-acc的一片论文的仿真程序，希望对大家有用(matlab code for distributed consensus, the paper is pubulished on 2009-acc)