64QAM

matlab环境下，用于语音识别的MFCC参数的提取。(matlab environment for speech recognition of MFCC parameters extracted.)

求图中任意点之间的最短路径的方法：floyd 求最短路径(For any point in a diagram of the shortest path between the methods: Floyd)

Design Embedded system

Solver for system of two ODE Boundary Layer Heat Eq and Velocity Eq

ls算法，在matlab环境下编写而成，有助于对matlab和ls算法的理解。(ls algorithm)

web minining using matlab for acquisition with data log of web.

北京林业大学关于matlab课程的最新课件，非常的详细，尤其对矩阵计算部分非常好。值得作为参考(Beijing Forestry University courses on the latest courseware matlab, very detailed, especially for matrix calculation part of the very good. Worthwhile as a reference)

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.)

finger print segmentation,基于matlab，无需修改，直接可用

基于三次谐波注入的级联H桥多电平逆变器的Matlab仿真(Research and Simulation Study on PWM Modulation Strategy Based on Third Harmonic Injection)