xml_toolbox

阵列信号处理，自适应波束形成，Capon算法(array signal processing，adaptive beam forming，Capon)

sparsify is a set of Matlab m-files implementing a range of different algorithms to calculate sparse signal approximations. Currently sparsify contains two main sets of algorithms, greedy methods (collected under the name of GreedLab) and hard thresholding algorithms (collected in HardLab). See ALGORITHMS below for a list of available algorithms.(sparsify is a set of Matlab m-files implementing a range of different algorithms to calculate sparse signal approximations. Currently sparsify contains two main sets of algorithms, greedy methods (collected under the name of GreedLab) and hard thresholding algorithms (collected in HardLab). See ALGORITHMS below for a list of available algorithms.)

【谷速软件】读取医学数字成像和通信序列 可以做为参考使用 ([Software] read speed Valley Medical Digital Imaging and Communications in the sequence can be used as a reference to use)

用MCE算法训练分类器，用Train.txt里的数据进行训练，用Test.txt的数据进行性能检测(Use MCE training algorithm of MCE to train the classifier, use the training data in Train.txt to train the classifier and use the data in the Test.txt to test the performance of the classifier )

火焰特性提前的代码，很好用，对图像识别和后续处理有帮助。(Flame characteristics ahead of the code, very easy to use, for image recognition and follow-up processing helpful.)

说明：  利用MATLAB计算轨道谱密度的程序，含有多种不同计算方法(Program for calculating orbital spectral density using MATLAB)

一个用PCA和LDA降维，并用knn分类的人脸识别例程(A dimension reduction using PCA and LDA, and face recognition with the knn classification routines)

说明：  基于卡尔曼滤波器的PID控制器参数优化程序,matlab编程,matlab环境运行 (Kalman filter based on the PID parameter optimization procedures, Matlab programming, Matlab environment running)

Wireless Sensor Networks have been proposed for a multitude of location-dependent applications. For such systems, the cost and limitations of the hardware on sensing nodes prevent the use of range-based localization schemes that depend on absolute pointto- point distance estimates. Because coarse accuracy is sufficient for most sensor network applications, solutions in range-free localization are being pursued as a cost-effective alternative to more expensive range-based approaches.

selection diversity MATLAB code