搜索资源列表
fisher
- Fisher分类器，用于对多维采样点进行分类。可根据类别数修改分类器，我们的模式识别作业。-Fisher classifier, multi-dimensional sampling points used for classification. Can be modified according to the number of classification categories, and our pattern recognition operation.
SplineInterpolation
- 基于模拟退火算法的matlab例程，用于处理一个关于部分采样和非线性拟合的现实问题-Based on simulated annealing algorithm of matlab routines, used for processing a part about sampling and nonlinear fitting real problems
MATLAB
- 认知无线电中基于能量检测的协作频谱感知，资料中涉及到不同信噪比、采样点数、协作结点的检测概率，具有一定的参考性。-Cognitive radio based on energy detection cooperative spectrum sensing, data related to different SNR, sampling points, the detection probability of cooperative node has a certain reference.
yuce1800
- MATLAB 从实际风电场对一个季度的风速进行采样，建立LSSVM模型，对之后几天的风速进行预测-MATLAB actual wind farm on a quarterly sample the wind speed, the establishment LSSVM model to predict the wind speed after a few days
vxatd
- 从先验概率中采样，计算权重，欢迎大家下载学习，现代信号处理中谱估计在matlab中的使用。- Sampling a priori probability, calculate the weight, Welcome to download the study, Modern signal processing used in the spectral estimation in matlab.
CNN Matlab代码
- 利用大量图像数据对卷积神经网络算法进行训练，通过卷积、池化、下采样以及全连接层训练后的卷积神经网络在图像识别精度越来越高。(By using a large number of image data to train the convolutional neural network algorithm, the accuracy of the image recognition is higher and higher by convolution, pooling, down sampling
ivus
- IVUS极坐标 直角坐标转换 插值非均匀采样(IVUS polar coordinates, rectangular coordinate transformation, interpolation, non-uniform sampling)
MATLAB-LeNet5-master
- 手写体识别 lenet5 LeNet5由7层CNN（不包含输入层）组成，上图中输入的原始图像大小是32×32像素，卷积层用Ci表示，子采样层（pooling，池化）用Si表示，全连接层用Fi表示。下面逐层介绍其作用和示意图上方的数字含义。(Lenet5 is composed of seven layers of CNN)