Fisher

ldpc码matlab实现，恩，应该很好吧(ldpc matlab)

说明：  利用MATLAB实现OFDM系统中AWGN信道(using MATLAB OFDM system AWGN)

im a handsome boy cacacscsacaca

In this paper a Conventional PD Controller and Fuzzy Neural Controller for trajectory tracking of mobile robot platform is presented. Using computed torque method is given input- torque on mobile robot wheels. The locomotion control structure is based on integration of kinematics and dynamics model of mobile robot base. The proposed Control scheme and Fuzzy Neural Algorithm could be useful for building an autonomous non-destructive testing system based on wheeled mobile robot. Fuzzy Neural Network-Rule base, is optimized using Genetic Algorithm. Simulations are done using Matlab software. Key words:Mobile Robot, Conventional, Fuzzy Logic, Neural Network, Genetic Algorithm, trajectory tracking,

数值分析算法集合 各种算法 带例子 具体见“算法.txt”(Set of algorithms numerical analysis algorithm with specific examples, see " algorithm. Txt" )

OFDM系统仿真，采用各种调制方式（BPSK，QPSK，QAM8，QAM16，QAM32，QAM64）(OFDM system simulation, using a variety of modulation (BPSK, QPSK, QAM8, QAM16, QAM32, QAM64) )

很好的一本书，小波十讲，跟大家一起分享！(A good book, Ten Lectures on wavelets, to share with everyone!)

image segmentation From the paper : Nock, Richard and Nielsen, Frank 2004. Statistical Region Merging. IEEE Trans. Pattern Anal. Mach. Intell. 26, 11 (Nov. 2004), 1452-1458.(image segmentation with statistical region merging)

实现了MATLAB 与VC的混合编程的方法，生成相应的DLL动态链接库供VC调用，最后生成相应的空间。实现了二则的混合编程(Realized MATLAB and VC mixed programming method, to generate the corresponding DLL dynamic link library for VC call, the last to generate the corresponding space. Achieve a mix of programming Two)

雷达数据处理对于观测的目标位置数据（称为点迹）进行滤波处理，自动形成航迹，并且可以对下一个目标的位置进行估计预测。利用最小二乘算法（LMS）进行滤波处理，得到了比较稳定的航迹估计。 最小二乘方法是参数估计中一种较为常见的参数估计方法。对于雷达观测数据，在我们假定已经精确知道航迹的运动学模型之后，通过建立观测方程，即可以对于模型的参数，如初速度，初始位置和加速度等进行最小均方误差估计。采用序贯最小二乘的方法可以对观测数据进行实时处理，已对待估计参数进行实时更新，然后利用观测模型可以对 数据进行滤波计算。(Radar data processing for target position data observed (known as trace points) filter processing, automatic track, and can be estimated to predict the position of the next target. Using the least squares algorithm (LMS) filtering process, have been relatively stable track estimates. Least-squares parameter estimation method is a more common parameter estimation method. For radar data, we assume that the kinematic model has been accurately track after, through the establishment of observation equations, which can be the parameters of the model, as ever speed, acceleration, etc. initial position and minimum mean square error estimation. Sequential least squares method using the observed data can be processed in real time, has been to treat the estimated parameters are updated in real time, and then use observational data can be filtered model calculations.)