digital_signal_and_MATLAB_command

说明：  程序是基于K均值聚类的RBF代码，很好的一个例子。(K means clustering procedure is based on the RBF code, a good example.)

介绍了几种稳健自适应波束形成算法，包括mvdr，对角加载，NCCB，最差性能最优化鲁棒波束形成等。(Several robust adaptive beamforming algorithms are introduced, including MVDR, diagonal loading, NCCB, worst performance optimization robust beamforming, and so on.)

使用household法分解矩阵的源程序 方便下载的(Using household method to decompose the source of the matrix Easy to download)

捷联惯导初始对准Kalman滤波程序，matlab编写(SINS initial alignment Kalman filter procedure, matlab prepared)

三次样条曲线插值函数的matlab源程序(three spline curvs)

分析了支持向量回归机在能源需求预测中的优势,确定了输入向量集合和输出向量集合,建立了基于Matlab技术的SVR能源需求预测模型.对我国1985-2008年能源需求相关数据进行模拟与仿真,并对中国2010年和2020年能源需求量进行预测.研究结果表明:一是中国未来对能源的需求量逐渐增加,从2010年的330400万吨标准煤上升到2020年418320万吨标准煤,年均增长率为2.39％；二是在解决我国能源系统小样本.非线性及高维模式识别问题中SVR比BP神经网络等方法有更高的预测精度.(Support vector regression analyzes advantage in energy demand forecast to determine the set of input vectors and output vector set, established SVR energy demand forecasting model based on Matlab technology. Energy demand for our 1985-2008 related data modeling and simulation , and China in 2010 and 2020 energy demand forecast results show that: First, China s increasing demand for energy in the future, from 3.304 billion tons of standard coal in 2010 rose to 4.1832 billion tons of standard coal in 2020, average annual growth rate of 2.39 second is to solve our energy system small sample nonlinear and high dimensional pattern recognition problem SVR higher prediction accuracy than the BP neural network method.)

利用常速率转弯模型对目标进行卡尔曼滤波，实现目标跟踪(Constant rate of turn using Kalman filtering model of the target to achieve target tracking)

采用集中质量法求解水平成层场地的地震响应，其中包含newmark求解动力方程(Quality level of a centralized method for solving the seismic response of layered space, solving the dynamic equation which contains newmark)

Boost实现序列化,c++bulderXE2编译。(Boost achieve serialization)

附件的代码为Gabor变换的源代码，运行正常，并且非常实用。(Annex Gabor transform code for the source code, operating normally, and very practical.)