Kalman_Filtering_Theory_and_implementation_in_matl

这个是我改进了的语音处理里面的端点检测源程序，可以直接编译运行，效果比较好(This is my improved speech endpoint detection treatment inside source, the compiler can be run directly, the effect is better)

说明：  汽车课设货车Matlab驱动力图程序(需要修改发动机扭矩转速和变速箱传动比)(A car driver tries to class van Matlab program (need to modify engine speed and torque transmission ratio))

sample code for desiging of Digtial Electronics

反馈控制问题-使用matlab及其控制系统工具箱的配套程序(Feedback control problems- using matlab control system toolbox and its supporting procedures)

CFO 频偏估计 频偏补偿的仿真实现及图形表示 与数值计算(CFO compensation offset frequency estimation and graphical representation of simulation and numerical calculation)

homotopy算法求解非线性方程组 (homotopy method for solving nonlinear equations)

运用matlab的过程中的一些注意地方，为一个附件(Matlab course of the use of some of the attention of local, as an annex)

说明：  很详尽的傅里叶变换课件，可以学习下，适合初学者。(Fourier transform is very detailed courseware, you can study, one for beginners.)

program to perform the huffman coding in matlab

In a multiple transmit antenna, single antenna per receiver downlink channel with limited channel state feedback, we consider the following question: given a constraint on the total system-wide feedback load, is it referable to get low-rate/coarse channel feedback from a large number of receivers or high-rate/high-quality feedback from a smaller number of receivers? Acquiring feedback from many receivers allows multi-user diversity to be exploited, while high-rate feedback allows for very precise selection of beamforming directions. We show that there is a strong preference for obtaining high-quality feedback, and that obtaining near-perfect channel information from as many receivers as possible provides a significantly larger sum rate than collecting a few feedback bits from a large number of users.