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自适应加权中值滤波算法
- 提出了一种基于相似度函数的自适应加权中值滤波算法。该方法首先通过噪声检测确定图像中的噪声点,然后 根据窗口内噪声点的个数自适应地调整滤波窗口的尺寸,并根据相似度大小,巧妙地将滤波窗口内各个像素点自适应分 组并赋予相应的权重,最后对检测出的噪声点进行加权中值滤波。计算机模拟实验结果表明:该算法既能有效地滤除噪 声,又能较好地保护图像细节,比标准中值滤波具有更优良的滤波性能。-A similarity function based on adaptive weighted medi
SMI
- 块自适应处理算法先有采样快拍数据计算采样协方差矩阵，再来计算自适应权矢量。典型的块自适应处理算法为采样矩阵求逆(SMI)算法。仿真了采样矩阵求逆法(SMI)的波束形成方向图旁瓣的高低受信号快拍数的影响。-Block adaptive processing algorithms prior sample snapshot data of the sampling covariance matrix, again computing adaptive weight vector. A typical
parallel-asynchronous-pso_05
- 包括：用基本粒子群算法求解无约束优化问题，用带压缩因子的粒子群算法求解无约束优化问题，用线性递减权重粒子群优化算法求解无约束优化问题，用自适应权重粒子群优化算法求解无约束优化问题，用随机权重粒子群优化算法求解无约束优化问题，用学习因子同步变化的粒子群优化算法求解无约束优化问题，用学习因子异步变化的粒子群优化算法求解无约束优化问题，用二阶粒子群优化算法求解无约束优化问题，用二阶振荡粒子群优化算法求解无约束优化问题-Include: using the particle swarm algorith
pso_3
- matlab 实现的微粒群算法PSO，比较基本，适合初学者学习参考，自适应权重（非线性）-matlab implementation of PSO PSO, more basic, suitable for beginners to learn reference adaptive weight (nonlinear)
[MATLAB]-AdaptiveWeight
- [MATLAB] Stereo Matching algorithm using Adaptive Support Weight
ADAPTIVE-WEIGHT-ESTIMATION-IN-MULTI-BIOMETRIC-VER
- ADAPTIVE WEIGHT ESTIMATION IN MULTI-BIOMETRIC VERIFICATION USING
SAPSO
- 用matlab编写了自适应权重粒子群算法，惯性权重随着微粒的目标函数值而自动改变，使得该微粒向较好的搜索区域靠拢-Prepared using matlab The adaptive weight PSO, inertia weight change automatically with the objective function value of the particles, so that the particles move closer to better search area
remove-noise-----adaptive-filtering
- Several signed LMS based adaptive filters, which are computationally superior having multiplier free weight update loops are proposed for noise cancellation in the ECG signal. The adaptive filters
Adaptive-filtering
- 自适应滤波,利用是理想输出与实际输出的误差大小，来实时更新抽头的权系数，来实现自适应滤波。-Adaptive filter, using the size of the ideal output and an actual output of the error, and be updated in real time by the tap weight coefficients, and to achieve adaptive filtering.
2links-Robo
- In this paper, an orthogonal functions neural network is used to achieve the control of nonlinear systems. The adaptive controller is constructed by using Chebyshev orthogonal polynomials neural network, which has advantages such as simple stru
Local Adaptive Support Weight
- Localliy adaptive support weight code for Yoon TPAMI paper 2006
PSO
- 各种粒子群或改进型粒子群算法 1）粒子群优化算法(求解无约束优化问题) 1>PSO(基本粒子群算法) 2>YSPSO(待压缩因子的粒子群算法) 3>LinWPSO(线性递减权重粒子群优化算法) 4>SAPSO(自适应权重粒子群优化算法) 5>RandWSPO(随机权重粒子群优化算法) 6>LnCPSO(同步变化的学习因子) 7>AsyLnCPSO(异步变化的学习因子)(算法还有bug) 8>SecPSO(用二阶粒
SAPSO
- 针对粒子群算法存在局部最优，易陷入局部最小值的问题，自适应权重粒子群优化算法-For particle swarm optimization, there are some problems, which are easy to fall into local minimum, and the adaptive weight particle swarm optimization algorithm is easy to fall into local minimum.
SAPSO
- 对粒子群算法的改进，利用一种名为自适应权重粒子的方法来更新粒子速度和位置，用来解决静态单目标优化问题-It is the improved particle swarm optimization algorithm. It introduced a kind method named adaptive weight to update the position and velocity of the particle. It can be used for handling single obj
ASWCPP
- ASW自适应权值立体匹配算法的C++代码-ASW adaptive weight stereo matching algorithm C++ code
smi
- 自适应处理算法：先有采样快拍数据计算采样协方差矩阵，再来计算自适应权矢量。-adaptive processing algorithms prior sample snapshot data of the sampling covariance matrix, again computing adaptive weight vector.
PSO_adaptation
- 自适应权重的粒子群算法，可以直接在matlab上调用-Adaptive weight of the particle swarm algorithm, can be directly in matlab call
psoo
- PSO程序，包含自适应权重粒子群优化算法，学习因子异步变化的粒子群优化算法和二阶振荡粒子群优化算法。-PSO program, including an adaptive weight particle swarm optimization, asynchronous learning factor changes PSO and PSO order Oscillation.
cars
- 竞争性自适应重加权算法（CARS）是通过自适应重加权采样（ARS）技术选择出PLS模型中回归系数绝对值大的波长点，去掉权重小的波长点，利用交互验证选出RMSECV指最低的子集，可有效寻出最优变量组合。(The competitive adaptive weight weighting algorithm (CARS) uses adaptive heavy weighted sampling (ARS) to select the wavelength points with large abs
CARS
- 用于matlab模式识别（分类和回归）的特征变量提取方法，竞争性自适应重加权算法（CARS）是通过自适应重加权采样（ARS）技术选择出PLS模型中回归系数绝对值大的波长点，去掉权重小的波长点，利用交互验证选出RMSECV指最低的子集，可有效寻出最优变量组合。(The method of feature variables extraction for matlab pattern recognition (classification and regression), competitive a