复制粘贴的MATLAB代码Fast-Copy-Move-MATLAB

利用神经网络，根据颜色条码，分析待检测图像深度值(Using neural networks, according to the color bar code, the value of the depth image to be detected)

粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation)，有Eberhart博士和kennedy博士发明。源于对鸟群捕食的行为研究 PSO同遗传算法类似，是一种基于叠代的优化工具。系统初始化为一组随机解，通过叠代搜寻最优值。但是并没有遗传算法用的交叉(crossover)以及变异(mutation)。而是粒子在解空间追随最优的粒子进行搜索。详细的步骤以后的章节介绍 同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域(Particle Swarm Optimization (PSO) is an evolutionary computation technique (evolutionary computation), has Dr. Eberhart and Dr. kennedy invention. Deriving from the behavior of birds of prey PSO with genetic algorithm is similar to an iterative optimization-based tools. System initialization for a group of random solutions, through the iterative search for optimal values. But there is no cross-genetic algorithm used (crossover) and mutation (mutation). But the particles in the solution space of the particles to follow the optimal search. In detail the steps after the introduction sections compared with the genetic algorithm, PSO has the advantage of being simple and easy and did not realize many of the parameters need to be adjusted. Has been widely applied to function optimization, neural network training, fuzzy system control, as well as other genetic algorithm applications)

minutiae-based matching algorithms in fingerprint recognition systems

ANFIS based Wind Speed Sensor-less MPPT Controller for Variable Speed Wind Energy Conversion Systems

基本混沌系统的同步程序，用matlab编写，并且在其他系统中也是通用的。(chaos system is made by matlab language,which is suitable for other system.)

很详细的matlab使用教程，全书一共十一章。(Matlab use a very detailed tutorial book a total of eleven chapters.)

一个火箭轨道控制程序，利用模态综合法降阶后，对火箭发射过程的振动模态进行观测和控制(A rocket orbit control procedures, the use of reduced-order modal synthesis method, the process of rocket vibration mode for observation and control)

免疫退火算法在参数优化中的应用，产生最优的优化结果(Immune annealing algorithm in parameter optimization, optimized to produce the best results)

研究表明，构成K一L变换矩阵的向量也就是ToePhtz矩阵的特征向量。与此同时，离散 余弦变换矩阵逼近于ToePutz矩阵的特征向量矩阵，所以离散余弦变换矩阵与自然图像的 K一L变换矩阵十分相似。经过离散余弦变换后的变换系数块的协方差矩阵Cy非常接近对角 阵，即除了对角线元素以外，其它很多元素都近似为0，并且在左上角集中了主要能量。这 反映了自然图像大部分区域变化不大，亮度突变只占少数，即图像能量以低频成分为主的特 性。通过变换后的量化，舍弃对视觉效果影响较小的次要信息，可达到进一步的压缩效果。 虽然从去相关性能的意义上讲，DCT是一种次于K一L变换的准最佳变换，但是从算法实现的角度来看，DCT则远远优于K一L变换。首先，当图像的分块大小确定后，DCT的变换矩阵也就随之确定了，不随输入信号的统计特性变化而变化 其次，二维DCT能够分解成两次一维DCT，有利于硬件实现。 (Studies have shown that constitute a K L transformation matrix vector is ToePhtz eigenvector of the matrix. At the same time, discrete The cosine transform matrix approximation in ToePutz matrix eigenvector matrix, so the discrete cosine transform matrix and natural images Is very similar to a K L transformation matrix. After discrete cosine transform, the transform coefficient block of Cy is very close to the diagonal of covariance matrix Matrix, namely except diagonal elements, many other elements are approximate to 0, and focused the main energy in the upper left corner. this Reflects the natural images most area changed little, brightness mutations accounted for only a few, the energy is given priority to with low frequency components of image Sex. Through quantitative after transformation, abandoning smaller effect on the visual performance of secondary information, can achieve further compression effect. Although from related to the performance of the sense, DCT is a kind o)

数字信号处理开发工具C2000开发工具软件(data signal process)