chaoliujisuan

GUI for least significant bit

多载荷多工况的结构拓扑优化代码，matlab实现(Structural Topology Optimization Code for Multi-load and Multi-working Conditions)

CPM的一种相干解调，程序内容较为丰富，基本的函数都有。希望有用。(CPM of a coherent demodulation, the program more inclusive, have the basic function. Hope helpful.)

文本信号读取、单点干扰信号的陷波滤波、低通滤波、GUI界面设计以及程序的清晰解释(Text-read, single notch filter interference signals, low pass filtering, GUI interface design as well as clear explanations of procedures)

卫星移动通信的信道特点及仿真模型，AWGN信道估计matlab仿真。(Satellite mobile communication channel characteristics and simulation model, AWGN channel estimation matlab simulation.)

说明 cloudPlot将有助于形象化的一个二维数据集的分布。这是特别有用当在非常大的数据集凡redular阴谋（的x，y, . )只是填充纯色的情节，因为测量点重叠看着对方。 cloudPlot使用内置的例程在MATLAB中轴线设置限制，并适当格点的数据。 MATLAB的释放MATLAB的7.7（R2008b） (Description cloudPlot will help visualize the distribution of a 2-dimensional dataset. It is especially helpful when looking at extremely large datasets where a redular plot(x,y, . ) will just fill the plot with a solid color because the measurement points overlap each other. cloudPlot uses the built-in matlab routines to set the axis limits and grid points appropriate to the data. MATLAB release MATLAB 7.7 (R2008b))

matlab program numerical methods

该算法基本思想是利用一组带有相应权值的随机样本即粒子去逼近PHD分布和基数分布，其意义在于不仅解决重积分计算没有闭式解的难题，而且在滤波过程中，PHD函数被一系列离散的带权值的样本近似，随着样本粒子数量的增加，PHDF接近于Bayes最优估计，而且不受模型线性和高斯假设的限制，可以适用于非线性非高斯的随机系统。(The algorithm the basic idea is to use a set of random sample with the corresponding weight namely particle approximation PHD and base distribution, its significance lies in not only solve the problem of multiple integral calculation without closed solution, and in the process of filtering, PHD function by a series of discrete weighted value of sample approximation, with the increase of sample particles, PHDF close to the Bayes optimal estimation, and is not subject to the assumptions of the linear and gaussian model can be applied to nonlinear non-gaussian stochastic system.)

ECEF2ECI and ECI2ECEF坐标转换

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) )