SC09006013

瞬变电磁设备TEM57采集的实地数据，对于瞬变电磁反演算法的研究有重要的参考价值(Electromagnetic field data collection equipment, TEM57, transient electromagnetic inversion algorithms for the research has important reference value)

Matlab simulation for an oscillating circuit

说明：  CMMB-业务实施指南_v1.0_20080410.doc(CMMB-Business Implementation Guide _v1.0_20080410.doc)

这个程序用于仿真孤子的演变波形，这里Lcd 可以取不同的值(This Matlab script file solves the nonlinear Schrodinger equation)

EM3DTask_TFEM2,三维电磁仪扫频命令表编辑程序源代码(editor of task table of TFEM-2)

用于计算庞加莱截面的MATLAB的源程序(MATLAB Program for Making Poincare Section)

说明：  差分进化算法(Differential Evolution Algorithm，DE)是一种高效的全局优化算法。它也是基于群体的启发式搜索算法，群中的每个个体对应一个解向量。差分进化算法的进化流程则与遗传算法非常类似，都包括变异、杂交和选择操作，但这些操作的具体定义与遗传算法有所不同(Differential evolution algorithm (DE) is an efficient global optimization algorithm. It is also a heuristic search algorithm based on population. Each individual in the group corresponds to a solution vector. The evolution process of differential evolution algorithm is very similar to genetic algorithm, including mutation, hybridization and selection operations, but the specific definition of these operations is different from that of genetic algorithm)

基于Matlab的一MMSE的噪声PSD的执行跟踪的语音增强算法。这个包是一所描述的算法实现在“基于MMSE的低噪声PSD的跟踪与复杂性”，由理查德亨德里克斯，理查德Heusdens和Jesper詹森，IEEE国际会议声学，语音和信号处理，03/2010，达拉斯，德克萨斯州，p.4266 - 4269，（2010年）。 该算法具有较低的复杂性，但能够准确地估计非平稳的延迟相当低噪声PSD的跟踪噪声。(Matlab implementation of an MMSE based noise PSD tracking algorithm for speech enhancement. This package is an implementation of the algorithm described in "MMSE BASED NOISE PSD TRACKING WITH LOW COMPLEXITY", by Richard C. Hendriks, Richard Heusdens and Jesper Jensen, IEEE International Conference on Acoustics, Speech and Signal Processing, 03/2010, Dallas, TX, p.4266-4269, (2010). The algorithm has rather low complexity, but is able to accurately estimate the noise PSD for non-stationary noise with rather low tracking delay. )

Malab 2013 , simulation wireless sensors sychnorisation protocol (TPSN,RBS) .

此程序为自适应信号处理中，求取LMS与GAL算法结合的性能的程序。(lms and gal algorythm)