Genetic-Algorithm

kalman滤波程序 关于信息融合方面的程序 (kalman programme about information fusion s programme)

adaboost算法训练,tr_func_handle and te_func_handle are function handles for training and testing of a weak learner, respectively. The weak learner has to support the learning in weighted datasets. The prototypes of these functions has to be as follows.(adaboost train)

this is a code for remote sensing application

自适应陷波控制Simulink程序。可用于一定频率范围内振动隔离。可运行(Adaptive Notch control of Simulink program. A certain frequency range can be used for vibration isolation. Can run)

说明：  一个包含多个matlab文件的工具包，利用它可以方便使用模糊c均值聚类(Matlab file contains more than one kit, using it can easily use the fuzzy c means clustering)

multiple input multiple output capacity

基于T-S模糊模型的PDH算法，文件里包含一个实例，以便理解。(PDH algorithm based on TS fuzzy model, the file contains one instance, in order to understand.)

matlab中的notebook工具是连接matlab和论文写作的重要工具，本文档摘录了设置方法(The notebook is connected to the matlab and thesis writing important tools in this document excerpt set)

matlab语言，空域综合增强图像，可以实现(Integrated airspace enhanced image)

Compressive sampling is an emerging technique that promises to effectively recover a sparse signal from far fewer measurements than its dimension. The compressive sampling theory assures almost an exact recovery of a sparse signal if the signal is sensed randomly where the number of the measurements taken is proportional to the sparsity level and a log factor of the signal dimension. Encouraged by this emerging technique, this thesis briefly reviews the application of Compressive sampling in speech processing. It comprises the basic study of two necessary condition of compressive sensing theory: sparsity and incoherence. In this thesis, various sparsity domain and sensing matrix for speech signal and different pairs that satisfy incoherence condition has been compiled.