matlab-in-optics

The goal of Optical Character Recognition (OCR) is to classify optical patterns (often contained in a digital image) corresponding to alphanumeric or other characters. The process of OCR involves several steps including segmentation, feature extraction, and classification. Each of these steps is a field unto itself, and is described briefly here in the context of a Matlab implementation of OCR.

matlab with images, logging message

考虑雨衰 阴影 和多径影响，使用拉亚普诺夫指数的公式，抑制载波型差分相位调制。( Consider shadow rain attenuation and multipath effects Raya Punuo Fu index using the formula, Suppressed carrier type differential phase modulation.)

这是一个雷达成像距离多普勒算法，建立了成像几何模型，完成了方位距离向匹配滤波(This is a radar imaging distance Doppler algorithm, the establishment of the imaging geometry model to complete the azimuth distance to the matching filter)

基于遗传算法进行戴维宁电池模型的参数辨识。(Parameter Identification of Thevenin Battery Model Based on Genetic Algorithm.)

matlab用于处理图像图像的应用，全书所有的代码都在(matlab image processing images for applications, all of the code in the book)

说明：  energy management in smart grid

Band pass filter for procesing images

说明：  学习matlab的简单 30程序 如追赶法求解三对角方程(Chase method Tridiagonal)

用于一维信号的小波包去噪，选取特定的阈值，采用最优小波基(For one-dimensional signal denoising using wavelet packet , select a specific threshold, the optimal wavelet)