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sr
- 运用龙格库塔算法求解朗之万方程，进而实现随机共振系统
sr
- 运用龙格库塔算法求解朗之万方程，进而实现随机共振系统-The use of Runge-Kutta algorithm for solving Langevin equation, and then the realization of stochastic resonance systems
ART2
- 自适应随机共振算法实现,具体内容注释中会有解释.-Adaptive stochastic resonance algorithm, the specific content of the Notes will be explained.
SRMatlab
- 随机共振的MATLAB源程序，运用龙哥库塔算法进行的仿真 -sr based on matlab using the longewan function to simulate
89346499sr
- 产生随机共振现象的输入输出信噪比曲线,运用龙格库塔算法求解朗之万方程，进而实现随机共振系统-the realization of stochastic resonance systems
TEM
- 晚期瞬变电磁信号是大参数、 多频率、 且各频率分量未知的电磁信号， 特别在晚期还是强噪声背景下的微弱信号． 随机共振系统可以在极限信噪比的情况下提取微弱信号， 但仅适用于小参数、 单一频率或频率已知的高频信号的情况． 为此， 本文提出一种基于尺度变换的随机共振算法用于检测晚期瞬变电磁信号， 该方法充分利用了随机共振检测弱信号的优势， 通过引入尺度变换， 消除了随机共振系统对待测信号频率的限制， 在绝热近似理论下，实现了从强噪声中提取出微
AART2zipd
- 自适应随机共振算法实现,具体内内容注释中会有解释.可直接使用。 -Adaptive stochastic resonance algorithm to achieve the specific content within comments will be explained and can be used directly.
Untitled5
- 随机共振理论及算法，能够实现经典随机共振过程，是源代码-Stochastic resonance theory and algorithms can achieve the classic stochastic resonance process, the source code
SR-simulation
- 基于随机共振的微弱信号检测仿真，且包含求解郎之万方程的四阶龙格库塔算法源程序。-Fourth-order Runge-Kutta algorithm source simulation based on stochastic resonance in weak signal detection, and includes solving the Langevin equation.
yichuanyouhua
- 随机共振过程中，针对参数a和b的优化处理，此处使用的是遗传算法。-Stochastic resonance process, the parameters a and b for the optimization, genetic algorithm is used here.
SR_algorithm
- 随机共振模型是检测微弱信号，近期流行的算法，效果不错，从事微弱信号检测和提取的可看下-Stochastic resonance model is to detect weak signals, the recent popular algorithms, good effect, engage in weak signal detection and extraction can look
bata
- 双稳态随机共振的参数寻优算法，先固定b，寻求a，画出随a的信噪比增益变化曲线-Parameter stochastic resonance algorithm
ART2
- 自适应随机共振算法实现,具体内容注释中会有解释-Adaptive stochastic resonance algorithm, the specific content of Notes will be explained
sr
- 随机共振检测弱信号，a_b_f是主程序，sr是rk4算法，模拟双势阱中粒子运动-Stochastic resonance detection of weak signals, a_b_f is the main program, sr is rk4 algorithms, simulated double potential well of particle motion
paper1
- 采用遗传算法的自适应随机共振系统弱信号检测方法研究-Adaptive stochastic resonance system weak signal detection method using genetic algorithms
mygasr
- matlab环境下遗传算法（GA）同时优化随机共振（SR）参数a、b源程序-The source code of optimization of stochastic resonance parameters using genetic algorithm under the environment of MATLAB
longgekuta
- 数学计算用的经典龙格库塔算法，可以用于随机共振系统输出求解。附带一个使用的实例-Solving mathematical calculations of classical Runge-Kutta algorithm can be used to output stochastic resonance system
sjgzemd
- 随机共振的EMD去噪算法，在机械振动信号方面的应用-Stochastic resonance EMD denoising algorithm, in the application of mechanical vibration signals
lgkt4
- 小参数下的随机共振算法在微弱信号检测中的应用(Application of Stochastic Resonance Algorithm with Small Parameters in Weak Signal Detection)
蚁群优化小参数随机共振程序包
- 随机共振算法，用于增强弱信号，提高信噪比(Stochastic resonance algorithm for enhancing weak signals and improving signal-to-noise ratio)