ASTAR235

Arnold置换图像置乱，用于数字水印；(Arnold Replacement Image Scrambling for Digital Watermarking )

基于PCS7的变比值控制应用程序开发Variable ratio control based on PCS7 application development(Variable ratio control based on PCS7 application development)

说明：  雷达目标航迹跟踪，运行函数main_test，进行雷达数据处理，最终显示航迹；(Radar Target Tracking，Run the function main_test, the radar data processing, the final display track )

说明：  这是一些例程，包括了汇编、m文件，如对站有帮助，则无比荣幸 (This is some routines, including a compilation, m documents, such as the right, there is help, incomparable honor)

改程序可以读取RINEX3.01格式的伪距和星历文件。同时适用于GPS和北斗系统。(The program can read observe files and ephmeris files in RINEX format.It also applies to GPS and Beidou system.)

将压缩感知用于谱估计中，根据论文谱压缩感知的一些程序(Compressive sensing (CS) is a new approach to simultaneous sensing and compression of sparse and compressible signals based on randomized dimensionality reduction. To recover a signal from its compressive measurements, standard CS algorithms seek the sparsest signal in some discrete basis or frame that agrees with the measurements. A great many applications feature smooth or modulated signals that are frequency sparse and can be modeled as a superposition of a small number of sinusoids. Unfortunately, such signals are only sparse in the discrete Fourier transform (DFT) domain when the sinusoid frequencies live precisely at the center of the DFT bins. When this is not the case, CS recovery performance degrades significantly. In this paper, we introduce a suite of spectral CS (SCS) recovery algorithms for arbitrary frequency sparse signals. The key ingredients are an over-sampled DFT frame, a signal model that inhibits closely spaced sinusoids, and classical sinusoid parameter e)

有限元几何非线性算例程序(FEM MATLAB Code for Geometrical Nonlinear Analysis)

《MATLAB程序设计》选修课大作业 运算 图形(MATLAB design)

matlab模拟退火算法的TSP算法，并实现以求解得到最优。(matlab simulated annealing algorithm TSP algorithm and implementation.)

Simple VaR Calculator provides: - Evaluation of return distribution of single asset or portfolio of assets - Volatility forecasts using moving average and exponential algorithm - Value at Risk of single asset or portfolio measurement using parametric and historical simulation. - Historical data can be obtained from simple text file or MS Excel using Matlab Excel Links. (Simple VaR Calculator provides:- Evaluation of return distribution of single asset or portfolio of assets- Volatility forecasts using moving average and exponential algorithm- Value at Risk of single asset or portfolio measurement using parametric and historical simulation .- Historical data can be obtained from simple text file or MS Excel using Matlab Excel Links.)