LpcSineDemo

naive bayesian classification

Dufing方程是一种重要的动力系统山，是反映工程物理系统中非线性现象和混沌动力学行为的极其重要的方程式。通过Duffing方程可以探讨铁磁谐振电路中的分岔、拟周期运动、子谐波振荡。而在非线性与混沌系统的研究中，Duffing方程展示了丰富的混沌动力学行为。本文通过对不同情况下的Duffing方程进行分析，利用MATLAB进行仿真，从而对Duffing方程有进一步的了解。(Dufing equation is an important dynamic system mountain, which reflects the nonlinear phenomena and chaotic dynamics in Engineering Physics system. The bifurcation, quasi periodic motion and sub harmonic oscillation in ferromagnetic resonance circuit can be discussed through the Duffing equation. In the study of nonlinear and chaotic systems, the Duffing equation shows abundant chaotic dynamical behavior. In this paper, the Duffing equation under different conditions is analyzed and simulated with MATLAB, so as to have a further understanding of the Duffing equation.)

说明：  运用matlab编写的程序，在线玩五子棋，牛批~(Using the program written by MATLAB to play Gobang online, good~)

这个是我做的弱磁控制。嗯马达在5nm的时候可以从3000rpm超转速到4000rpm(I do this is weakening control. Ah motor in 5nm time can be from 3000rpm super speed to 4000rpm)

平滑矩阵的music算法，是阵列信号处理的一种算法.....(Music smoothing matrix algorithm is an algorithm array signal processing .....)

Matlab编写的无迹卡尔曼滤波器程序。(Matlab prepared by the Kalman filter is no trace procedure.)

turbocoding in gmsk modulation

PSO基本实现过程的详细演示，适合初学者进一步加深对理论的理解，推荐使用(A detailed presentation of the basic PSO implementation process, suitable for beginners to further deepen the understanding of the theory, recommended the use of)

这是matlab的命令大全，初学者可以在多次尝试后快速进入专业状态，熟练者可以用更简洁的程序实现功能(Matlab command Daquan, beginners can quickly after several attempts to enter the professional status, the experts were more concise program functions)

Abstract—A novel algorithm to remove rain or snow streaks a video sequence using temporal correlation and low-rank matrix completion is proposed in this paper. Based on the observation that rain streaks are too small and move too fast to affect the optical flow estimation between consecutive frames, we obtain an initial rain map by subtracting temporally warped frames a current frame. Then, we decompose the initial rain map into basis vectors based on the sparse representation, and classify those basis vectors into rain streak ones and outliers with a support vector machine. We then refine the rain map by excluding the outliers. Finally, we remove the detected rain streaks by employing a low-rank matrix completion technique. Furthermore, we extend the proposed algorithm to stereo video deraining. Experimental results demonstrate that the proposed algorithm detects and removes rain or snow streaks efficiently, outperforming conventional algorithms.