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说明：  基于Dirichlet过程的基因信号处理方法的研究(Dirichlet process based on the genetic signal processing method)

极限学习机（Extreme Learning Machine，ELM），该算法随机产生输入层与隐含层间的连接权值及隐含层神经元的阈值，且在训练过程中无需调整，只需要设置隐含层神经元的个数，便可以获得唯一的最优解。与传统的训练方法相比，该方法具有学习速度快、泛化性能好等优点(Extreme Learning Machine regression and classification, introduce a new algorithm for SLFN- Extreme Learning Machine (Extreme Learning Machine, ELM), the algorithm randomly generated input layer and hidden layer connection weights between the hidden layer and dollar threshold, and no adjustment in the training process, only need to set the number of hidden layer neurons, they can obtain a unique optimal solution.)

说明：  基于MATLAB 2PSK的解调与调制 的毕业设计的源代码(MATLAB-based modulation and demodulation 2psk graduation design source)

SVPWM MATLAB 仿真模型 频率10K 标准电压变化 功率变换(SVPWM MATLAB simulation model 10K standard voltage variation frequency power conversion)

SATELLITE COMMUNICATION SYSTEMS. its ppt format.basics about SATELLITE COMMUNICATION SYSTEMS

在脉冲噪声情况下，基于分数低阶统计量的循环平稳信号的波达方向估计(In the case of impulse noise, DOA fractional lower order statistics of cyclostationary signal estimate)

说明：  扩展卡尔曼滤波算法锂离子电池SOC估计中有较广泛的应用，其精度高，鲁棒性好，算法简单(The extended Kalman filtering algorithm has a wide range of applications in SOC estimation of lithium-ion batteries, with high accuracy, good robustness, and simple algorithm)

计算Lorenz系统的李雅谱诺夫指数，非常实用，稍微修改一下就可计算自己的李雅谱诺夫指数了(Lorenz system calculated Lyapunov index, very useful, you can slightly modify the calculation of their Lyapunov index of the)

Traditional single particle reconstruction methods use either the Fourier or the delta function basis to represent the particle density map. We propose a more flexible algorithm that adaptively chooses the basis based on the data. Because the basis adapts to the data, the reconstruction resolution and signal-to-noise ratio (SNR) is improved compared to a reconstruction with a fixed basis. Moreover, the algorithm automatically masks the particle, thereby separating it from the background. This eliminates the need for ad-hoc filtering or masking in the refinement loop. The algorithm is formulated in a Bayesian maximum-a-posteriori framework and uses an efficient optimization algorithm for the maximization. Evaluations using simulated and actual cryogenic electron microscopy data show resolution and SNR improvements as well as the effective masking of particle from background

基于人工势场法的移动机器人路径规划，亲测可以运行出结果(Mobile Robot Path Planning based on the artificial potential field method)