tfa

Wavelet packet modulation

基于多种经典参数估计算法的窄带信号源DOA估计(for narrowband signals DOA estimation Based on a variety of classic algorithms )

六自由度并联机器人运行轨迹与结果仿真，可以自己改变机器人尺寸大小(6 degree of freedom of parallel robot,simulation)

在TMS320C54x系统开发环境CCS（Code Composer Studio）下对FIR滤波器的DSP实现原理进行讨论。利用C语言设计相应的滤波器，通过实验仿真，从输入信号和输出信号的时域和频域曲线可看出在DSP上实现的FIR滤波器能完成预定的滤波任务。

这是一个贝叶斯独立分量分析(ICA)算法的线性瞬时混合高斯噪声模型和添加剂。解决问题的是ML-II推论,即资源的整合在发现源后和噪声协方差矩阵和混合了最大化的边际似然。充分统计量的估计平均场或变分理论和线性响应修正或通过自适应平均场理论水龙头。平均场方程,解决了信仰传播法的或连续的迭代。(This is a bayesian independent component analysis (ICA) algorithm of instantaneous linear mixed gaussian noise model and additives. The solution to the problem of is ML-II inference, namely of the integration of resources and noise source in found that after the covariance matrices and mixed the maximization of marginal likelihood. Sufficient statistics estimate of the mean field or variational theory and linear response correction or through the adaptive average field theory faucet. Average field equations are solved belief propagation method or continuous iteration.)

％ 该函数对区间进行裁减即Py投影，返回裁剪后的区间信号( The function of the interval that the process of reducing the projection Py, returning after the interval signal clipping)

关于matlab优化工具箱使用的一些案例介绍。包含内容较为全面。可以作为入门使用。(Introduction matlab optimization toolbox to use some of the cases. Contains more comprehensive. Can be used as an entry.)

说明：  包含一元线性回归分析、多元线性回归分析、逐步回归分析、非线性回归分析、主成分分析、因子分析、层次聚类分析、判别分析、自相关分析和自回归分析的全套Matlab源代码(MATLAB source code including linear regression analysis, multiple linear regression analysis, stepwise regression analysis, non-linear regression analysis, principal component analysis, factor analysis, hierarchical clustering analysis, discriminant analysis, autocorrelation analysis and autoregressive analysis)

带Simth补偿的模糊PID控制器设计及仿真(Simth compensation with the fuzzy-pid controller design and simulation)

This work outlines the application of ground-based GPS to climate research and meteorology without omitting the fact that precise GPS positioning can also highly benefit using numerical weather models for tropospheric delay determination for applications where GPS troposphere estimation is not possible, for example kinematic and rapid static surveys. In this sense, the technique of GPS-derived tropospheric delays is seen as mutually improving both disciplines, precise positioning as well as meteorology and climatology