MALTAB

说明：  matlab file to calculate trajectory

TVL1重建从混合压缩采样，rice大学泊松分布图像重建与全变分正规化的代码(Note: (1)Fore small-scale data, hybrid sampling consists of Bernoulli random sampling and low-resolution sampling (TVL1_HCS) (1)Fore large-scale data, hybrid sampling consists of Fourier radial sampling and low-frequency sampling (TV_RecPF) Copyright (C) 2010 Xianbiao Shu, Computer Vision and Robotics Lab, University of Illinois at Urbana-Champaign. Acknowledgement: RecPF (Rice University) PDCO (Stanford University) Twister (MIT) Reference: X. Shu, N. Ahuja, Hybrid Compressive Sampling via a New Total Variation TVL1, In Proceedings of ECCV 2010. Usage: >> run_me_first >>[Im_rec, PSNR_est1,PSNR_est2] = TVL1L2_HCS_test( Ball1_32.bmp , 0.35,3) >>[Im_rec, PSNR_est1,PSNR_est2] = TVL1L2_HCS_test( Ball1_32.bmp , 0.35,3) >>[Im_rec, PSNR1, PSNR2, G_error, Ratio] = TV_RecPF_test( Chest.png , 5, 10, 0, 1e-10, 0) )

Fast calculation of elastic response spectra

转速开环恒压频比控制的交流异步电机调速系统仿真(Constant speed than the open-loop control of an AC induction motor speed control system simulation)

for fem matlab for solving all 2D and 3D problem

说明：  实现无功补偿选址，选址寻优ieee33节点(Reactive power compensation)

现代通信系统使用MATLAB第二版（中英文pdf及所有程序m文件）(Contemporary Communication Systems Using Matlab By:JohnG.Proakis )

SFLOP simulates a floating point operation x op y where op = +, -, *, / In chopping or rounding arithmetic using an m digit mantissa, base 10, and an unrestricted exponent range. (sflop: Simulate FLOating Point operation.) For more details on the how the floating point representation of a number is computed see the function sfl.( SFLOP simulates a floating point operation x op y where op =+,-,*,/ In chopping or rounding arithmetic using an m digit mantissa, base 10, and an unrestricted exponent range. (sflop: Simulate FLOating Point operation.) For more details on the how the floating point representation of a number is computed see the function sfl.)

一个navigation vieew的xcode手机程序可直接使用。 (A navigation vieew the xcode phone program can be used directly.)

：在有限区域内分布的稀疏不均的、具有一定分布结构的海量数据集的高效、高精度聚 类问题是一个尚未完全圆满解决的难题。针对Affinity Propagation 聚类算法(AP)的不足之处， 提出了两个改进型的聚类算法(n limited areas of uneven distribution of sparse, has certain distribution structure of the mass datasets of high efficiency, high precision together Problem is a perfectly solved problem has not yet completely. For Affinity Propagation clustering algorithm (AP) of the deficiencies, Put forward the two improved version of the clustering algorithm)