hibernate_annotation

matlab图像处理代码m函数 P0301：数字图像矩阵数据的显示及其傅立叶变换 P0302：二维离散余弦变换的图像压缩 P0303：采用灰度变换的方法增强图像的对比度 P0304：直方图均匀化 P0305：模拟图像受高斯白噪声和椒盐噪声的影响 P0306：采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波 P0307：采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波 P0308：图像的自适应魏纳滤波 P0309：运用5种不同的梯度增强法进行图像锐化 P0310：图像的高通滤波和掩模处理 P0311：利用巴特沃斯（Butterworth）低通滤波器对受噪声干扰的图像进行平滑处理 P0312：利用巴特沃斯（Butterworth）高通滤波器对图像进行锐化处理 (matlab image processing function code m)

无线传感器网络所具有的众多类型的传感器，可探测包括地震、电磁、温度、湿度、噪声、光强度、压力、土壤成分、移动物体的大小、速度和方向等周边环境中多种多样的现象。基于MEMS的微传感技术和无线联网技术为无线传感器网络赋予了广阔的应用前景。这些潜在的应用领域可以归纳为:军事、航空、反恐、防爆、救灾、环境、医疗、保健、家居、工业、商业等领域。(Wireless sensor networks have many types of sensors can detect, including seismic, electromagnetic, temperature, humidity, noise, light intensity, pressure, soil composition, the size of moving objects, velocity and direction of the surrounding environment, a variety of phenomena. MEMS based micro-sensor technology and wireless networking technology for wireless sensor networks given the broad application prospects. These potential applications can be summarized as: military, aviation, terrorism, explosion, disaster relief, environment, health, health, home, industrial, commercial and other fields.)

This program is testing referencing and dereferencing

This function finds the forward kinematics of the RA-01 Robotic Arm made by Images SI, Inc. The RA-01 has five degrees of freedom. This funciton outputs two vectors. The first vector is the forward kinematics of the central position of the end effector, while the second vector is the forward kinematics of a finger of the end effector (a gripper). Note that it does not matter which finger it is as the position of one finger is simply the negative of the other hence, the value gotten for the y-direction is actually "plus or minus y".

adaptive fuzzy control

学matlab的好书，pda格式，欢迎下载(Learn matlab ， fight)

pso 算法的matlab实现， pso 算法的的matlab实现。 ，经测试可直接使用。 (pso algorithm matlab realize pso algorithm matlab realize. Has been tested and can be used directly.)

RLE=Run Lenght Coding for image.

k-means聚类算法的matlab代码 截图的 想用还是自己手打吧(k-means clustering algorithm matlab code screenshot or their own hands to fight it.)

This work introduces two variants of unsupervised color segmentation methods. The underlying idea is to segment the input image several times, each time focussing on a different salient part of the image and to subsequently merge all obtained results into one composite segmentation. As a first step salient parts have to be identified in the image, which is done by a simple local color clustering approach.