jibenpujianfa

近似熵MATLAB的计算程序，可以通过此程序对脑电信号EEG进行分析，达到你要的结果。程序仅供参考，里面可能有少许不足之处，希望大家不吝赐教。(approximate entropy MATLAB program, through this procedure right EEG EEG analysis you want to achieve results. Procedures for reference purposes only, which may have some shortcomings, we hope that substantive progress has spared no.)

使用Matlab语言完成《数值计算方法》中的Romberg（龙贝格）积分公式，程序可以根据用户输入的积分上下限、误差容限及表达式实现Romberg积分。(Using Matlab language to complete " numerical methods" in the Romberg (Romberg) integral formula, the program based on user input limits of integration, error tolerance and expression implementations Romberg integration.)

a self- embedding block wise fragile watermarking scheme with tamper detection and content recovery capability. The proposed scheme embeds the shuffled extensive ten bit Recovery data and two bit Authentication data of the image block into the least significant bits (LSB) of its corresponding mapping block.The integrity of a test block is decided by comparing 2×2 non overlapping block of the test block with its corresponding mapping block. Experimental results show that the suggested scheme outperforms conventional self recovery fragile watermarking algorithms in alteration detection as well as in tamper recovery of the image.

Matlab最新最完整的粒子滤波工具箱，建议在matlab7.X环境下运行(Matlab latest and most complete toolbox particle filter, the proposed environment running under matlab7.X)

基于systemview的OCDMA上行接入信道链路仿真(OCDMA Uplink Access Channel Link Simulation)

利用列维（levy）法进行系统辨识，主要用于参数辨识(The use of Levy (levy) system identification method, mainly used for parameter identification)

In this paper, we investigate the timing and carrier frequency offset (CFO) synchronization problem in decode and forward cooperative systems operating over frequency selective channels. A training sequence which consists of one orthogonal frequency-division multiplexing (OFDM) block having a tile structure in the frequency domain is proposed to perform synchronization. Timing offsets are estimated using correlation-type algorithms. By inserting some null subcarriers in the proposed tile structure, we propose a computationally efficient subspace decomposition- based algorithm for CFO estimation. The issue of optimal tile length is studied both theoretically and through simulations. By judiciously designing the tile size of the pilot, the proposed algorithms are shown to have better performance, in terms of synchronization errors and bit error rate, than the time-division multiplexing-based training method and the computationally demanding space-alternating generalized expectation-maximization

matlab code from friend shortest path (dijkstra)

Tacacs+协议实现源代码，有助于分析Tacacs+协议(Tacacs+ protocol source code)

粒子群算法自适应优化版matlab源程序(Adaptive particle swarm algorithm to optimize version of matlab source )