机组组合模型matlab程序

Introduction to Robotics 作业之一 使指定半径的的球绕任意轴旋转 备注：需要运行Robotics toolbox(Introduction to Robotics Rotate a sphere about an arbitrary axis Note:you will need robotics toolbox)

asunchronous machine biblio [correction]

毫米波图像存在分辨率低的缺点，该程序在WRLA算法的基础上，进一步采用投影算法，能有效改善毫米波图像的分辨率(Images acquired from Passive Millimeter-Wave (PMMW) radiometer have poor resolution due to limited aperture dimension. Therefore, Super-Resolution Algorithm (SRA) is a key component for PMMW imager. SRA realizes spectrum extrapolation, however, spectrum in-band is deteriorated too. Wiener-Richardson-Lucy Algorithm (WRLA) recovers spectrum in-band by Wiener filter, and extrapolates spectrum out-of-band by Richardson-Lucy Algorithm (RLA). WRLA can avoid spectrum deterioration in passband, but its ability for spectrum extrapolation is limited also. We propose an improved algorithm to solve this problem. This algorithm, which has built constraints according to characteristics of PMMW imaging, uses Projection-Onto-Convex-Sets (POCS) technique to enhance the WRLA s performance, so it is termed as POCS-WRLA.)

Simulatiom MIMO Zero Forsing, MMSE

说明：  多尺度几何分析工具之一的bandlet的实现，里面还有一些例子，可直接用来开发(Multiscale geometric analysis tool, one of the bandlet implementation, there is also some examples, can be directly used to develop)

本程序给出了采用Turbo编码及其信道估计的OFDM的性能仿真。采用时域LS信道估计。对于初学OFDM及信道估计的非常有帮助。(This program is used to simulate the performance of OFDM with turbo coding and time domain LS channel estimation. It is useful for the primer for learning OFDM systems and channel estimation algorithms.)

利用扩展卡尔曼滤波器对已知环境地图进行估计，得出估计位置，并给出了真实轨迹(Using extended Kalman filter to estimate the known environment map, draw the estimated location, and provides true trajectory )

Matlab source code for Leach protocol. It is energy efficient protcol uses the clustering of nodes concept to send the data.

改进前推回代潮流算法，计算潮流，适应强，迭代次数少。(Improved push back the tide before generation algorithms, computing trends, adaptable, less iterations.)

lms算法对信号进行线性预测，程序非常棒，欢迎借鉴(lms algorithm for linear prediction signal, the program is great, welcome to learn)