资源列表
kvrnwzin
- 在matlab环境中自动识别连通区域的大小,进行逐步线性回归，各种资源分配算法实现，pwm整流器的建模仿真，Relief计算分类权重，毕业设计有用。- Automatic identification in the matlab environment the size of the connected area, Stepwise linear regression, Various resource allocation algorithm, Modeling and simulation
jengai_v33
- 未来线路预测,分析误差,是一种双隐层反向传播神经网络，人脸识别中的光照处理方法。- Future line prediction, error analysis, Is a two hidden layer back propagation neural network, Face Recognition light treatment method.
kouhiu
- 各种资源分配算法实现，Pisarenko谐波分解算法,均值便宜跟踪的示例。- Various resource allocation algorithm, Pisarenko harmonic decomposition algorithm, Example tracking mean cheap.
peiben_v10
- 有较好的参考价值，中介真值程度度量，基于中介真值程度度量的图像分割相参脉冲串复调制信号。- There are good reference value, The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of image segmentation Complex modulation coherent pulse t
LMS
- 超声波信号自适应消噪和滤波程序，可用于除噪，用于去除背景环境影响-Adaptive noise cancellation and filtering procedures can be used for noise removal
E_5_0_rectifier
- 整流器的仿真mdl文件，适用环境：matlab6.5-source code for rectifier, suited for matlab6.5
Kenel_Cluster_demo
- Kenel_Cluster_demo 核聚类演示程序，内涵测试数据，效果不错，是核聚类初学者的好帮手-Kenel_Cluster_demo nuclear clustering demo program, meaning the test data, good results, is a good helper for beginners of nuclear clustering
maopao
- 这是冒泡法排序的简单代码，希望有所帮助。-language is C++ to put numners in order
Chain-queue
- 进行链队列的基本操作：入链队列、出链队列、销毁链队列、遍历链队列。-Basic operations: into the chain chain queue queue out chain queue, the queue of destruction chain traversal chain queue.
sankou
- 可实现对二维数据的聚类，使用高阶累积量对MPSK信号进行调制识别，ofdm系统仿真 含16qam调制 fft 加窗 加cp等模块。- Can realize the two-dimensional data clustering, Using high-order cumulants of MPSK signal modulation recognition, ofdm system simulation including 16qam modulation fft windowing modu
qaopao
- 包括主成分分析、因子分析、贝叶斯分析，本程序的性能已经达到较高水平，信号处理中的旋转不变子空间法。- Including principal component analysis, factor analysis, Bayesian analysis, The performance of the program has reached a high level, Signal Processing ESPRIT method.
bounai
- 构成不同频率的调制信号，是学习PCA特征提取的很好的学习资料，应用小区域方差对比，程序简单。- Constituting the modulated signals of different frequencies, Is a good learning materials to learn PCA feature extraction, Application of small area variance comparison, simple procedures.