calcCFARthreshold

最优化中非线性规划中改进的单纯形算法matlab实现，可修改参数(nonlinear optimization program to improve the simplex algorithm Matlab, which could be revised parameters)

使用虚拟处理器的SPMD 并行程序，我将介绍使用虚拟处理器的一些结果 技术，并行计算程序的一些SPMD。 “ 测试的技术真正的处理器是英特尔超线程， 和程序，浮点计算的MATLAB脚本。 工作的关注实用和限制的结论 使用的方法。主要结果是，使用虚拟处理器 不仅为改善并行程序是一个很好的技术 基于内存的计算，但在大量的磁盘存储的情况下 操作太多。 (Using virtual processors for SPMD parallel programs，I describe some results on the use of virtual processors technology for parallelize some SPMD computational programs. The tested technology is the INTEL Hyper Threading on real processors, and the programs are MATLAB scripts for floating points computation. The conclusions of the work concern on the utility and limits of the used approach. The main result is that using virtual processors is a good technique for improving parallel programs not only for memory-based computations, but in the case of massive disk-storage operations too)

dc buck boost converter in power

density evolution, regular and irregular LPDC codes with BMS and BSC channel

这个是关于GMSK调制的MATLAB仿真程序，对正在研究MATLAB调制信号的人来说很有用，其中含有仿真图。(This is GMSK modulation MATLAB simulation program, useful to the people being studied MATLAB modulation signal, which contains the simulation Fig.)

ADVANTAGE: The main advantage of the NLMS algorithm over the LMS algorithm is the faster convergence for correlated[11] and whitened input and the stableness of the output with the varying range of values independent input data[12]. And to implement a shift input of data the NLMS require additional addition, Multiplication and division over the LMS algorithm.

小波包分析提取振动信号中的特征频率，阐述了负荷预测的应用研究,matlab编写的元胞自动机。( Wavelet packet analysis to extract vibration signal characteristic frequency, It describes the application of load forecasting, matlab prepared cellular automata.)

Fingerprint source code

利用matlab计算模拟金属矩形波导垂直于传播方向截面不同模式下的场分布(Computing and simulating metal rectangular waveguide cross section perpendicular to the direction of propagation of the field distribution in different modes)

这是一个由matlab编写的RTH基础隔震试验仿真。可帮助初学者理解RTH的概念和建立在原始演示系统的单度自由RTH多自由度体系。它还允许用户选择不同的隔震层参数的确定对结构响应的影响。(This is a matlab prepared by the RTH base isolation test simulation. The concept can help beginners understand RTH and based on the single degree of freedom RTH original demo system of multi degree of freedom system. It also allows the user to select the isolation layer parameters of different effects on the structural response.)