上传列表：

ref_dct2019.rar - ref_dct2019 image watermarking,2021-02-23 16:54:01,下载0次
nn.rar - communication principles learning,2021-02-23 16:50:41,下载0次
CS_8.rar - communication principles,2021-02-23 16:42:53,下载0次
SPR_95_2_Chap10_DNN.rar - DNN full learning file,2021-02-23 16:31:39,下载0次
modulation.rar - modulation learn pdf,2021-02-23 16:29:57,下载1次
Homeworks.rar - NCC optimized algorithm easy to use,2021-02-23 16:28:14,下载0次

近期下载：

RBF.rar - redial bases function RBF in neural network
rnnContr1.rar - matlab code neural network rbf
2D-logistic-image-encrytion.rar - 各种logistic混沌图像加密解密程序，初学图像加密的用户可以下载学习
Gao_algorithm.zip - An implementation of GAO alogirthm for image encryption based on chaotic map
CannyEdgeDetection.zip - image encryption and decryption for chaotic maps
picture code and decode.zip - 超混沌图像加密 编码译码代码 黑白图像 根据灰度做的
chaotic-image-encryption.rar - 基于LOGISTIC混沌映射的灰度图像加密和解密，MATLAB源码
LL-encryption.rar - 图像加密代码，可以利用混沌理论对灰度图像加密和解密。
A-New-Chaotic-Algorithm-for-Image-Encryption.zip - A New Chaotic Algorithm for Image Encryption
Chaotic-image-encryption.zip - Encrypt and decrypt image using chaotic alogrithm
chaotic map image encryption.rar - Image Encryption using multiple Chaotic Maps
two_chaotic image encryption.zip - 经过二维混沌序列构成的相位板的双随机相位系统再经过菲涅尔变换后得到的加密解密
matlab-logistic.rar - 基于Logistic混沌序列进行图像加密
2D-logistic-image-encrytion.zip - 本matlab函数，利用混沌映射不可预测性，遍历性和敏感性，以它们的参数和初始值的优异特性的，实现一个图像加密算法。我们引入了一个新的二维logistics函数。与现有的混沌映射相比，它具有更广泛的范围内混乱，更好的遍历性，混沌性和relativelylow实施成本。为了研究及其应用，我们提出了一个之乱转换（CMT），以有效地改变图像的像素位置。结合2D-logistics与CMT，我们进一步实现图像加密算法。
optical_image_encryption_chaotic_baker.rar - image encryption using chaotic baker map and double random phase algorithm
jaya（51次）.zip - 智能优化算法jaya，适用于各种优化问题，特点是无参数。
jaya.rar - jaya algorithm source code
abc-algorithm-.rar - 人工蜂群算法matlab代码，注释详尽，经运行测验，运行效果良好
Logistic.zip - Logistic混沌置乱彩色图像加密，仿真出加密图像，解密图像，与彩色图像RGB三分量的加密前后的直方图对比
APSO123.zip - PSO is originally attributed to Kennedy, Eberhart and Shi[1][2] and was first intended for simulating social behaviour,[3] as a stylized representation of the movement of organisms in a bird flock or fish school. The algorithm was simplified and it was observed to be performing optimization. The book by Kennedy and Eberhart[4] describes many philosophical aspects of PSO and swarm intelligence. An extensive survey of PSO applications is made by Poli.[5][6] Recently, a comprehensive review on theoretical and experimental works on PSO has been published by Bonyadi and Michalewicz.[7]

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