ekf-fuzzy

说明：  matlab例程源码，有很好的参考价值(matlab routines source, has a very good reference value)

说明：  人脸检测的程序和文章，基于matlab。(face detection )

说明：  跳频参数估计论文通过各种时频分析方法进行处理(Hopping parameters estimated paper through a variety of time-frequency analysis method for processing)

This code is used in the course Digital Communications. It simulates 16QAM mode with different SNRs.

最优化求函数迭代有牛顿法。0.618.等(Demand function optimization iteration Newton method. 0.618.)

机器学习大牛周志华教授的关于“整体学习”的文章算法的实现。整体学习可以提高学习机器的推广能力。(Ensemble learning aims to improve generalization ability by using multiple base learners. It is well-known that to construct a good ensemble, the base learners should be accurate as well as diverse.)

两个向量的内积，外积，正交的实现以及可视化，matlab例程，可实现向量的内积，外积，以及正交的可视化(Inner product of two vectors, outer product, orthogonal realization and visualization, matlab routines, enabling vector inner product, outer product, and orthogonal visualization)

】通过建立倒立摆系统的数学模型,应用状态反馈控制配置系统极点设计倒立摆系统的 控制器,实现其状态反馈,从而使倒立摆系统稳定工作。之后通过MA TLAB 软件中Simulink 工具对倒立摆的运动进行计算机仿真,仿真结果表明,所设计方法可使系统稳定工作并具有良 好的动静态性能(] Through the establishment of an inverted pendulum system mathematical model, the application of state feedback control design configuration of the system pole inverted pendulum system controller, to achieve its state-feedback, so that the work of the inverted pendulum system is stable. After the adoption of MA TLAB software Simulink tool for inverted pendulum movement of the computer simulation, simulation results show that the design work will enable the system is stable and has good static and dynamic performance)

好的简单的源码程序　很好用的　基于ＭＡＴＬＡＢ　编写　无密码，下载解压即可(Good simple procedure useful source MATLAB-based preparation of non-password, download decompression can)

mainMIMO_OFDMA_2Tx.m: 主程序，设置各种参数 gendata_2Tx_SM.m: 生成原始信息数据的程序 mod_2Tx_SM_DFUSC.m：调制程序 gen_SUI_CorrCIR.m: 生成信道冲击响应的程序 get_perfectCE_2x2.m: 生成理想信道估计值的程序 chanSUI_corr_2x2.m: 发送信号通过SUI信道的程序 addAWGN_2x2.m: 添加高斯白噪声的程序 dem_DFUSC_2x2_SM.m: 接收端解调主程序 ls_freq.m: 频域LS算法 ls_time_2x2.m: 时域LS算法 ZeroForcing_Detection.m: 迫零检测算法 mmse_Detection.m: MMSE检测算法 sphere_decoding.m: 球形检测算法">