chongfukongzhi

2混合与分数延迟滤波器多通道Sampling.pdf极小极大的设计和应用(2Hybrid Filter Banks with Fractional Delays Minimax Design and Application to Multichannel Sampling.pdf )

结构可靠度编程2个大的例题，以及对于电算MATLAB代码(The structural reliability programming two examples, as well as for the job Computing MATLAB code)

Programming Manual for MATLAB

color code segentation detection

二阶电路的Matlab仿真，该文给出二阶电路仿真实例, 不仅给出计算结果, 并绘出仿真曲线.(Matlab simulation of second order circuit, the article gives examples of second-order circuit simulation, not only gives the results, and draw the simulation curve.)

matlab code for Learning the Extended Kalman Filter

基于Matlab编写的MIMO通信系统仿真，代码是在课设的报告；包含数字通信系统 jXFSeJ仿真流程，实现基本的信道编译码、调制解调等通信模块。学习并实现MIMO空时处理技术学习性能分析的思路和方法，包含 pmKzprT解码算法。(Based on the Matlab MIMO communication system simulation, code is class-based reporting jXFSeJ contains digital communication system simulation process, to achieve the basic channel coding, modulation and demodulation and other communication modules. Learn and implement ideas and methods MIMO space-time processing performance analysis of technological learning, comprising pmKzprT decoding algorithm)

优化计算中的无约束一维极值算法minFBNQ(Unconstrained optimization of one-dimensional extreme value method minFBNQ)

现需要在高度为600~700KM范围内，回归周期为30天的太阳同步轨道上布置一颗L波段的合成孔径雷达卫星。 1. 请设计合适的轨道参数，并仿真对应轨道下一个运行周期内星下点轨迹图（纬度和经度两个图）； 2. 计算多普勒中心频率，多普勒调频率与纬度的关系图（设姿态角为0°，天线视角20°~60°，推荐35°）； 3. 按高斯投影方式，将星下点轨迹图投影到地图坐标上。(Now requires a height of 600 ~ 700KM range, return period of 30 days are arranged on a sun-synchronous orbit L-band Synthetic Aperture Radar satellites. 1 Please design the appropriate orbital parameters and simulate the corresponding orbit within the next operating cycle nadir trajectories (latitude and longitude two graphs) 2. Calculate the Doppler center frequency, Doppler frequency and the relationship between latitude Figure (set attitude angle is 0, the antenna angle of 20 to 60, recommended 35) 3 Press Gauss projection, the nadir trajectories projected onto the map coordinates.)

支持向量机 ，做股票预测，一元线性回归 (Support vector machines, regular activity prediction, linear regression)