Hamiltonian-loop

说明：   考虑幅值谱与相位谱的人造地震动模拟与反应谱拟合 我国对《建筑结构抗震规范》进行了修订，将设计反应谱周期由原来的3秒延长到现在的6秒。反应谱周期的延长。 本程序以新规范反应谱作为目标谱，采用三角级数迭加来模拟地震动加速度。(consider amplitude spectrum and phase spectrum of the artificial seismic simulation and pattern fitting response to China's "structural seismic code" the amendment to the design spectrum cycle from three seconds to extend the current six seconds. Response spectrum cycle extension. The new procedures to regulate spectrum as the target spectrum, the use of triangular series superposition to simulate vibration.)

说明：  可以快速实现从滞回曲线中计算耗能面积，和耗能系数，运行速度快，且稳定。(It can calculate the energy consumption area from the hysteretic curve quickly and stably.)

内含Newtonback.m，Newtonforward.m文件，牛顿插值法，向前向后插值。(Intron Newtonback.m, Newtonforward.m documents, Newton)

关于压缩感知的信号处理应用，信号的恢复重构采用正交匹配追踪算法。(Application of wavelet transform signal processing, signal recovery reconstruction algorithm using orthogonal matching pursuit.)

matlab环境下，使用双线性插值法实现缩放图像(matlab environment, using a bilinear interpolation method to achieve image zoom)

用于压缩感知的基追踪(BP)算法，可直接运行。(BP ALOGRITHM FOR COMPRESSIVE SENSING)

通过粒子群算法实现pid参数的自整定。内容涵盖matlab程序和SIMUILINK仿真。已调试。(PID parameter tuning of particle swarm optimization)

Calculates SER in 64PSK,64QAM modulation technique and produces graphical figures for diversity order up to eight,rayleigh channel,bessel first order

A Novel Image Reconstruction Algorithm Based on Concatenated Dictionary This paper presents a novel method for image reconstruction, which decomposites the image by concatenating a redundant dictionary of several bases and then reconstruct the image efficiently by means of Matching Pursuit algorithm. The proposed method constructs the concatenated dictionary with cosine bases, wavelet bases and contourlet bases, which will lead to a better approximation of the original image. The experimental results show that the proposed algorithm can greatly reduce the computational complexity and generate a better reconstruction effect compared with previous methods.(A Novel Image Reconstruction Algorithm Based on Concatenated Dictionary This paper presents a novel method for image reconstruction, which decomposites the image by concatenating a redundant dictionary of several bases and then reconstruct the image efficiently by means of Matching Pursuit algorithm. The proposed method constructs the concatenated dictionary with cosine bases, wavelet bases and contourlet bases, which will lead to a better approximation of the original image. The experimental results show that the proposed algorithm can greatly reduce the computational complexity and generate a better reconstruction effect compared with previous methods.)

卡尔曼滤波算法MATLAB实现，跟踪皮球的位置(Kalman filter-based target tracking)