MATLAB70ch2

matlab写的神经网络的几个演示程序，有的是自己写的，有的是根据别人写的改的，bp、rbf、pnn、hopfield等(matlab neural network to write a few demo program, some wrote it myself, some other people to write in accordance with the change, bp, rbf, pnn, hopfield etc.)

estymacja w matlabie

小波三级非标准规格化分解与重构 将载入的图像文件显示并进行非标准haar小波规格化分解与重构过程(Normalized wavelet decomposition and reconstruction of three non-standard image file will be included in the non-standard display and haar wavelet decomposition and reconstruction process of normalization)

采用经典的阴性选择算法N-NSA，用IRIS数据集对算法进行耐受和检测，检测器半径固定不变，检测效率不高，因此需要采用变半径的方法检测(The negative selection algorithm using the classical N-NSA, with the IRIS data set of algorithms for tolerance and detection, the detector radius is fixed, detection efficiency is not high, requiring the use of variable radius method to detect)

digital image processing

核密度估计，用于识别和核密度计算，采用高斯插样。(kernel density evalue.it is used for statistical pattern recognition.)

此程序是消噪和格型算法的比较原程序，请各位指导说明(This program is denoising algorithm and comparison of the original program of instruction, )

matlab的图像搜索排序系统，适合做 毕业设计参考，很有价值哦,计算机视觉，图像水印，图像处理，人脸识别(this is the system of the sort of image sort,which can help you with your graduation ,and computer vision，opencv,image process，face detection)

MUSIC算法是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。MUSIC算法就是利用这两个互补空间之间的正交特性来估计空间信号的方位。噪声子空间的所有向量被用来构造谱，所有空间方位谱中的峰值位置对应信号的来波方位。MUSIC算法大大提高了测向分辨率，同时适应于任意形状的天线阵列，但是原型MUSIC算法要求来波信号是不相干的。(MUSIC algorithm is a matrix decomposition method based on feature space. From the geometric point of view, the observed spatial signal processing can be decomposed into signal subspace and noise subspace, it is clear that the two spaces are orthogonal. The signal received by the array to the subspace of the covariance matrix of the signal component corresponding eigenvectors, the noise subspace of the covariance matrix of all by the smallest eigenvalue (noise variance) eigenvectors corresponding to the composition. MUSIC algorithm is the use of orthogonal properties between these two complementary space to estimate the spatial orientation of the signal. Noise subspace of all vectors are used to construct the spectrum, all the spatial orientation of the spectrum corresponding to the peak position of the signal wave direction. MUSIC algorithm greatly improves the resolution measurements, while the antenna array adapted to any shape, but the prototype MUSIC algorithm requires to wave sign)

armijo搜索方法 简单实用 计算方法最优化作业(armijo method)