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PSOt
- 智能优化算法： 粒子群优化算法（PSO）应用于神经网络优化程序。分为无隐含层、一隐含层、二隐含层。运行DemoTrainPSO.m即可。 程序来自：Brian Birge NCSU-intelligent optimization algorithms : Particle Swarm Optimization (PSO) used neural network optimization procedures. Divide
PSOt
- 智能优化算法： 粒子群优化算法（PSO）应用于神经网络优化程序。分为无隐含层、一隐含层、二隐含层。运行DemoTrainPSO.m即可。 程序来自：Brian Birge NCSU-intelligent optimization algorithms : Particle Swarm Optimization (PSO) used neural network optimization procedures. Divide
wavecompression
- The following implementation steps have been made for the devised algorithm, which is based on 2D-wavelet. 1. Reading an image of either gray scale or RGB image. 2. Converting the image into grayscale if the image is
ecg1
- birge-massart算法计算阈值 基于小波函数分解的心电信号去噪-the algorithm calculated threshold birge-massart ECG denoising based on wavelet function decomposition
ecg2
- 自适应阈值选择 基于小波函数分解的心电信号去噪-the algorithm calculated threshold birge-massart ECG denoising based on wavelet function decomposition
xiaoboyuzhi
- 各种方法的去噪程序 den1.m 使用半软阈值方法对图像进行去噪 den1_5_1.m 半软阈值的改进方法 对第一层重构图像进行均值滤波 den1_9.m 半软阈值的改进方法 将线性衰减的函数改为指数的 den1_10.m 半软阈值的改进方法 对第一层的重构图像再次进行小波阈值去噪 den2.m 用软硬阈值函数的改进方法进行去噪 den3.m 用广义阈值函数进行去噪 den4.
Ecg-signal-noise-reduction
- 心电信号降噪 Birge-Massart策略阈值降噪 基于小波变换的心电信号的降噪-Ecg signal noise reduction Birge- threshold de-noising Massart strategy Noise reduction based on wavelet transform of ecg signals
Denoise
- 各种去噪方法，主要是半软阈值去噪，广义阈值函数去噪，Donoho阈值或Birge-Massart策略及软阈值或硬阈值函数进行去噪。对灰度和彩色图像均可-Various denoising methods are mainly semi-soft threshold denoising, generalized threshold function denoising, Donoho threshold or Birge-Massart
PSO
- pso工具箱 matlab工具箱 Brian Birge编写的(particle swarm optimization toolbox for matlab.)