搜索资源列表
随机共振
- 二阶随机共振，自己编写，可以实现功能。
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
example
- 利用随机共振原理检测弱信号。a_b_f.m为主程序-Use of the principle of stochastic resonance detection of weak signal. a_b_f.m-based procedures
sr
- 随机共振相似度的Matlab计算程序，计算看出输入-输出的相似度S随着噪音的标准差的增大而不断得到改善，直到增大至一饱和值为止。-Stochastic resonance Matlab similarity calculation process, the calculation to see input- output of the similarity S as the standard deviation of the noise
gongzhen
- 描述阀值系统中的随机共振现象，其中fazhi2是二进制随机信号加入高斯噪声的随机共振现象。-System descr iption of threshold stochastic resonance phenomenon, which is a binary random signal fazhi2 adding Gaussian noise of the stochastic resonance phenomenon.
gongzhenQ
- gongzhenQ.m:计算双稳态随机共振系统输入输出信噪比增益，非常明显的随机共振现象。-gongzhenQ.m: Calculation of stochastic resonance in bistable system input and output signal to noise ratio gain, a very obvious phenomenon of stochastic resonance.
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.
gongzhenok
- 产生随机共振现象的输入输出信噪比曲线，参数可以修改，不过不要乱改动哦，不然振动不起来了。-Stochastic resonance phenomenon generated input and output signal to noise ratio curve.
SNR
- 随机共振相似度的Matlab计算程序，计算看出输入-输出的相似度S随着噪音的标准差的增大而不断得到改善，直到增大至一饱和值为止-an example for SR
srchengxu
- 随机共振的相关程序，资源齐全.货真价实。希望能对大多数研究随机共振的人有一定的帮助-it is very goood
haodongxi
- 随机共振的很多例子的集合体。matlab代码可以作为参考。-Stochastic resonance in a collection of many examples. matlab code as a reference.
NSR
- 随机共振的弱信号检测，运用朗格万方程进行MATLAB的仿真-stochasitc resouance using for detecting the weaken signals,based on longawan function
SR
- 通过双阈值系统中的随机共振特性，研究含有高斯白噪声的信号。-is investigated the characteristics of stochastic resonance of the signal added Gaussian white noise in a bithreshold system
sr
- 双稳态随机共振与时间同步的相关性研究可以改变随机共振原则改变系统工作环境-is investigated the characteristics of stochastic resonance of the signal added Gaussian white noise in a bithreshold system
audio
- 调制与解调用于随机共振的微弱周期信号检测DSP实现-DSP C
随机共振
- 随机共振MATLAB程序和相关资料，包括一个源代码(stochastic resonance)
基于并联自适应随机共振的微弱信号检测方法
- 实现信号的随机共振处理,包括matlab代码的实现(introduce the procedding of signal)
随机共振的Runge-Kutta解法
- 基于随机共振的二维图像降噪，内含说明，可直接使用(Two-dimensional image denoising based on random resonance)
随机共振用于弱信号检测程序
- 随机共振stochastic resonace进行弱信号的检测的程序(stochastic resonance)
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)