Main

第一：边界加强，通过估计噪声和实际信号的比值，来确定各个尺度的细节系数，以达到噪声抑制和边界加强。第二，通过对小波分解的近似部分进行直方图均衡，达到加大整幅图片的对比度，而不太影响细节的目的。(First: to strengthen the border, through the estimates and the actual signal noise ratio, to determine the details of each scale factor, so as to achieve noise suppression and boundary strengthening. Secondly, the wavelet decomposition of the approximate portion of histogram equalization to increase the contrast of the whole images, and do not affect the details of the purpose.)

《MATLAB程序设计教程》的课件及其书中的代码(《MATLAB programming tutorial》 code of courseware and books)

Construction of feature space data set in Matlab.

matlab编写的图片缩放算法，拉格朗日插值(matlab image scaling the Lagrange interpolation)

Direct Torque Control, Induction Motor Vector Control Without an Encoder1

These are a few more examples on MATLAB

利用遗传算法优化RBF神经网络的结构，包括优化权值、高斯基的中心和宽度(The use of genetic algorithm to optimize the structure of RBF neural network, including the right to optimize the value of the Gaussian center and width)

MATLAB 对图像的多种算法，可以参考借鉴，非常不错(the Arithmetics of image,very good)

generation of packet header using MATLAB

说明：  matlab实现：①递推增广最小二乘参数估计（RELS）②确定性系统的递推梯度校正参数估计（RGC）③递推最小二乘参数估计（RLS）④递推极大似然参数估计（RML）⑤递推随机牛顿参数估计（RSNA）(Matlab: (1) augmented recursive least square parameters estimation (RELS) (2) of a deterministic system recursive gradient correction parameter estimation (RGC) (3) recursive least squares (RLS) (4) parameter estimation, the recursive maximum likelihood parameter estimation (RML) (5) recursive random Newton parameter estimation (RSNA) )