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hopfield_net
- 对于含有噪声的的数字图像模式“1、2、3、4”，使用“hopfield”神经网络，进行联想、识别，以去除噪声的影响。-for containing noise of the digital image model "1,2,3,4", "hopfield" neural network, Lenovo, identification, in order to remove noise impact.
复件 test1
- 程序是对心电信号进行噪声去除，采用的是数度较快的滤波器组，能快速完成计算任务-procedures of the ECG signal for noise removal, using a few degrees faster filters can rapidly complete computing tasks
复件 noisechk
- 可对噪声处理后的心电数据进行评价，既噪声的估计，用信噪比来评价的-noise can be dealt with right after the ECG data for evaluation, we estimate the noise used to evaluate the SNR
基于进化BP网络的含噪声点阵数字的识别
- 基于进化BP网络的含噪声点阵数字识别的源程序，希望对大家有所启示。-BP network based on the evolution of the digital matrix containing noise identification of the source, we hope to reveal.
FLch7NNeg1
- 用改进的神经网络MBP算法辨识 ，对具有随机噪声的二阶系统的模型辨识-improved neural network algorithm for identification of MBP, the random noise with the second-order system model
时间序列分析VC源码
- 时间序列分析，分析序列是否是 白色噪声，分析相关性，可以进一步判断序列的相关和自相关-time series analysis, whether the sequence is white noise, correlation analysis, further sequence of judgment and autocorrelation
GeneticAlgorithms_matlab
- X(t)=Asin(2*pi *f *t+ q)+n(t) 估计其中的参数为A，f， q。n(t)为随机噪声，服从正态分布。 其他的具体见附件中的程序 -X (t) = 4sin (2 * pi * f * t q) n (t) is estimated parameters A, f, q. N (t) of random noise, subject to normal. Other specific see annex to the proceedings
遗传算法TDOA解决
- 用遗传算法解决通信中的TDOA问题 文件名 program 完成功能 求出在进行account_test次的试验中每一次的最优染色体，并且求出均值MV，和均方误差MSE 文件名 definition_constant( ) 完成功能 对各个常量试验参数进行设定 文件名 main_program 完成功能 完成一次试验的计算 文件名 all_Noise 完成功能 计算TDOA值（由基站所测量的TDOA（受到噪声的干扰）) 文件名 gen_ini_pop_
AOLMM
- 基于局域法多步预报模型的混沌时间序列预报模型，对多个典型混沌序列的仿真测试表明，本算法具有良好的多步预测精度和较好的抗噪声能力-based multi-step prediction model of chaotic time series prediction model, a number of typical chaotic sequence of simulation tests show that the algorithm has a good multi-step forecast
NoiseNeuralNetwork
- 单输出的神经元网络拟合有噪声干扰的函数：y=x1/(1+x1) + x2/(1+x2) + x3/(1+x3) + x4/(1+x4)-single output neuron network fitting a noise function : y = x / (1 x1) x2 / (1 x2) x3 / (1 x3) x / (1 x4)
NN3
- Noise Data 神经网络算发演示3-Noise Data neural networks count the three demonstration
InsNavigationKalman
- 实现了车辆惯性导航系统的卡尔曼滤波，包括定位结算，姿态校正，速度校正等，也包括惯性导航系统的模型建立，结算，白噪声，等等，对研究导航很有参考价值 -realized the vehicles inertial navigation system Kalman filtering, including clearing positioning, posture correction, the speed correction, including inertial navigation syste
fuzzy
- 一份介绍小波变换的论文，包括突变点的检测以及信号降噪等。-Introduce a wavelet transform of papers, including the detection of point mutations, as well as signals such as noise reduction.
IEEEXplore_3_fuzzy
- A Hybrid Neuro-Fuzzy Filter for Edge Preserving Restoration of Images Corrupted by Impulse Noise
DBAIN
- Decision based Impulse noise removal
A-Simplified-Fuzzy-Filter-for-Impulse-Noise
- A simplified fuzzy filter for impulse noise reduction
noise
- impulse noise removal using fuzzy logic
add-noise
- add additive noise, gussian noise and salt pepper noise to the picture
color-noise
- 产生自定义的高斯色噪声，用以模拟论文中的高斯色噪声的影响，具有实用的价值。-Generate Gaussian colored noise customized to simulate the impact of paper colored Gaussian noise has practical value.
Neural-Network-Noise-Cancellation
- ，自适应神经网络噪声抵消系统不需要关于输入信号的先验知识，非线性映射能力强，具有自学习能力、计算量小和实时性好等特点，利用该系统对含噪声的非线性信号建模，可达到消除噪声的目的。-The adaptive neural network noise canceling system does not need prior knowledge about the input signal, strong nonlinear mapping ability, self-learning ability,