pca

理论力学经典问题数值模拟课件，平底凸轮的动画演示。显示了不同动点的选择，相对运动轨迹的形式。(Numerical simulation of the classic problems of theoretical mechanics courseware, flat cam animation. Shows the different choices of fixed points, the relative trajectory of the form.)

规划问题的matlab文件，规划问题在数学中的应用范围很广，值得一看(Matlab problem of planning documents, the planning problem at math in a very wide range of applications, worth a visit)

信号分析处理 matlab应用。详细介绍了matlab语言的编程技术 和特点。(Signal analysis and processing matlab application. Detailed programming techniques and characteristics of the Matlab language.)

Calculating the acceleration due to gravity using linear regression method

说明：  我强烈的向那些正在做毕设或课设的同学推荐(please use it)

The overall objective for LTE is to provide an extremely high performance radio-access technology that offers full vehicular speed mobility and that can readily coexist with HSPA and earlier networks. OFDM/OFDMA technology is introduced for the LTE downlink, supporting very high data rates of up to 300Mbps while Single-Carrier FDMA (SC-FDMA) is used in the uplink with data rates of 80Mbps possible. Additionally, LTE supports operation both in paired and unpaired spectrum (FDD and TDD) using channel bandwidths of approximately 1.4MHz up to 20MHz. The frequency domain scheduling can be done in OFDMA. One of the main challenges in OFDMA is the high peak-to-average radio of the transmitted signal, which requires linearity in the transmitter. The linear amplifiers have low efficiency therefore, OFDMA is not an optimized solution for a mobile uplink where the

非常经典的基于模糊信息处理的数据融合方法研究.用MATLAB 实现的。 请大家好好学习(Very classical information processing based on fuzzy data fusion method. Using MATLAB realization. Please study hard)

variabel acak diskrit, percobaan sistem komunikasi dengan menggunakan software matlab

标准压缩感知（CS）理论决定了可靠的信号恢复是可能给M= O（KLOG（N / K））的测量。我们证明了它可以通过利用超越简单的稀疏性和可压缩性由包括价值观和信号系数的位置之间的依赖关系更加逼真信号模型大大降低Mwithout牺牲的鲁棒性。(The standard compressive sensing (CS) theory dictates that robust signal recovery is  possible from  M=O(Klog(N/K))  measurements. We demonstrate that it is possible to substantially  decrease  Mwithout sacrificing robustness by leveraging more  realistic signal models that go beyond simple sparsity and  compressibility by including dependencies between values and  locations of the signal coefficients.   )

matlab课程设计，基于matlab的图像处理课程设计(matlab)