87b5cc0a5294

FFT for ground motion

模拟两个相干的的窄带信号。阵列的阵元数为10，快拍数为200，信号入射方向分别为20°，60°，阵元间距为入射信号波长的1／2，信噪比为20dB。分别用MUSIC算法和改进MUSIC算法进行仿真。仿真结果如下图所示(MUSIC algorithm is improved compared with the simulation of signal coherent MUSIC algorithm. Two coherent analog narrowband signal. Array element number of the array 10, the number of snapshots 200, a signal incident directions, respectively 20 °, 60 °, array element spacing is 1/2 of the wavelength of the incident signal, SNR is 20dB. Respectively MUSIC MUSIC algorithm and improved algorithm simulation.)

无功补偿statcom装置及载波移幅调制主电路仿真示例(Statcom reactive power compensation device and carrier shift amplitude modulation of the main circuit simulation examples)

Generation of IP Multicast with Synapse.

tofind diffrent parameters such as inductance resonance frequency of series RLC circuit

his page contains software and instructions for Canoical Time Warping (CTW),All the functions have been written and documented in Matlab format.

上传一个word档的联邦式扩展卡尔曼粒子滤波算法，大家学习粒子滤波有益，为了使联邦滤波器够有效处理非高斯、非线性系统的状态估计问题，提出将扩展卡尔曼粒子滤波引入联邦滤波结构中，得到一种新的联邦式扩展卡尔曼粒子滤波算法.使用扩展卡尔曼粒子滤波对联邦滤波子系统的多源数据进行处理，从而摆脱了经典卡尔曼滤波的限制，拓宽了联邦滤波器的实际应用范围.将联邦式扩展卡尔曼粒子滤波算法应用于非线性滤波器的一个标准验证模型进行了仿真实验，结果表明该算法是有效性的.(Abstract: A new particle filter(Federated Extend Kalman Particle Filter，EKF-FPF) is proposed to estimate the state of Non-Gaussian and Non-Linear system for federated filter, in which extend kalman particle filer is introduced to federated filter so that the information fusion of subsystem can be solved by the non-gaussian and non-linear filer. By doing so, the federated filter can get rid of the disadvantage of the ordinary kalman filter to extend its application field. The simulation results of the standard testing model demonstrate the feasibility of the proposed algorithm.)

JPEG compression A program in order to see how the JPEG method works.

code for image processsing

该书籍介绍了很好的统计学习方法，能为机器学习和数据挖掘的爱好者提供很好的理论依据。(The book describes the good statistical learning method that can provide a good theoretical basis for machine learning and data mining enthusiasts.)