demodulation

已知串联机构各个构件的运动，求取其运动所需的力，和其运动学逆解计算(Serial mechanism known to all members of the movement, the force required to strike the motion, and the calculation of inverse kinematics)

说明：  很全面的图像分割matlab代码，内含分水岭算法，区域生长法等，亲试，很好用(a very comprehensive image segmentation matlab code, including watershed algorithm, region growth method, etc., pro-test, very useful)

这一课我们用 4 个按键来控制播放音乐。K1－K3 每个键播放一首音乐，K4 按键停止 音乐的播放 (this)

贝叶斯分类器源代码．能很好的实现分类．是很好的学习资料．期望与大家一起分享．(Bayesian classifier source code. Can achieve very good classification. Is a very good learning materials. Look forward to working with you to share)

说明：  EKF仅仅利用了非线性函数Taylor展开式的一阶偏导部分（忽略高阶项），常常导致在状态的后验分布的估计上产生较大的误差，影响滤波算法的性能，从而影响整个跟踪系统的性能。最近，在自适应滤波领域又出现了新的算法——无味变换Kalman滤波器（Unscented Kalman Filter-UKF）。UKF的思想不同于EKF滤波，它通过设计少量的σ点，由σ点经由非线性函数的传播，计算出随机向量一、二阶统计特性的传播。因此它比EKF滤波能更好地迫近状态方程的非线性特性，从而比EKF滤波具有更高的估计精度。 (EKF only uses non-linear function of the first-order Taylor expansion of some partial derivatives (ignoring higher order terms), often leading to the posterior distribution of the state estimates to generate large errors affect the performance of filtering algorithms, which affect the whole tracking system performance. Recently, the field of adaptive filtering algorithms and the emergence of new- and tasteless transform Kalman filter (Unscented Kalman Filter-UKF). EKF UKF filter is different from the idea that it points through the design of a small amount of σ by σ point spread through the nonlinear function to calculate the random vector first and second order statistical properties of the transmission. Therefore it is better than the EKF filter nonlinear characteristics equation of state approach, which is more than the EKF filter estimation accuracy.)

说明：  用z-n法对一个控制过程进行PID参数整定，在simulink平台上进行仿真。(simulation with simulink)

MATLAB实现的OKumura-HATA仿真(MATLAB realization of simulation OKumura-HATA)

compare between image using matlab

说明：  5种不同类型的PCB可以用这个工具实现互相转换(5 different types of PCB can use this tool to achieve mutual conversion)

说明：  使用维纳滤波器对信号进行处理，得到噪声状况下的信号，这个滤波器是数字信号处理中非常经典的一个。代码里还提供了维纳的AR参数估计(Wiener filter to use signal processing, noise signal conditions, this filter is digital signal processing in a very classic. There is also a code of the AR Wiener Parameter Estimation)