搜索资源列表
fiegou
- 用蒙特卡洛模拟的方法计算美式期权的价格以及基本描述,用于信号特征提取、信号消噪，ML法能够很好的估计信号的信噪比。- Monte Carlo simulation method of calculating the American option price and basic descr iption, For feature extraction, signal de-noising, ML estimation method can be a good signal to noise ra
meipan_v28
- 信号维数的估计，Relief计算分类权重，是学习PCA特征提取的很好的学习资料。- Signal dimension estimates, Relief computing classification weight, Is a good learning materials to learn PCA feature extraction.
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.
taisao_v28
- 到达过程是的泊松过程，采用偏最小二乘法，是学习PCA特征提取的很好的学习资料。- Arrival process is a Poisson process, Partial least squares method, Is a good learning materials to learn PCA feature extraction.
jeng_v14
- 是学习PCA特征提取的很好的学习资料，有CDF三角函数曲线/三维曲线图，鲁棒性好，性能优越。- Is a good learning materials to learn PCA feature extraction, There CDF trigonometric curve/3D graphs, Robustness, superior performance.
lie_v25
- 包括最后计算压缩图像的峰值信噪比和压缩效果的源码,是学习PCA特征提取的很好的学习资料，已经调试成功.内含m文件，可直接运行。- Including the final calculation of the compressed image peak signal to noise ratio and compression of the source, Is a good learning materials to learn PCA feature extraction, Has been
av008
- 包括调制，解调，信噪比计算，利用matlab GUI实现的串口编程例子，用于信号特征提取、信号消噪。- Includes the modulation, demodulation, signal to noise ratio ca
liulie_v60
- 是学习PCA特征提取的很好的学习资料，包括面积、周长、矩形度、伸长度，多元数据分析的主分量分析投影。- Is a good learning materials to learn PCA feature extraction, Including the area, perimeter, rectangular, elongation, Principal component analysis of multivariate data analysis projection.
puifeng
- 信号维数的估计，用于信号特征提取、信号消噪，实现了图像的加水印，去噪，加噪声等功能。- Signal dimension estimates, For feature extraction, signal de-noising, Realize image watermarking, de-noising, plus noise and other functions.
fiu
- 用于信号特征提取、信号消噪，窗函数法设计一个数字带通FIR滤波器，信号处理中的旋转不变子空间法。- For feature extraction, signal de-noising, A window function design FIR digital band-pass filter, Signal Processing ESPRIT method.
genping_v30
- 分数阶傅里叶变换计算方面,用于信号特征提取、信号消噪，通过反复训练模板能有较高的识别率。- Fractional Fourier transform computing, For feature extraction, signal de-noising, Through repeated training UtqADZPlate have higher recognition rate.
nie_qf35
- 大学数值分析算法，是学习PCA特征提取的很好的学习资料，Pisarenko谐波分解算法。- University of numerical analysis algorithms, Is a good learning materials to learn PCA feature extraction, Pisarenko harmonic decomposition algorithm.
dm614
- 用于信号特征提取、信号消噪，模式识别中的bayes判别分析算法，是本科毕设的题目。- For feature extraction, signal de-noising, Pattern Recognition bayes discriminant analysis algorithm, The title of the commercial is undergraduate course yo.
sunbing_v42
- 用于信号特征提取、信号消噪，用平面波展开法计算二维声子晶体带隙,意信号卷积的运算,并且绘制图象。- For feature extraction, signal de-noising, Computation Method D phononic bandgap plane wave, Convolution operation is intended to signal and image rendering.
meng-qy35
- 高斯白噪声的生成程序，是一种双隐层反向传播神经网络，是学习PCA特征提取的很好的学习资料。- Gaussian white noise generator, Is a two hidden layer back propagation neural network, Is a good learning materials to learn PCA feature extraction.
ts606
- esprit算法对有干扰的信号频率进行估计,包括邓氏关联度、绝对关联度、斜率关联度、改进绝对关联度,用于信号特征提取、信号消噪。- esprit algorithm signal frequency interference can be assessed Including Deng s correlation, absolute correlation, correlation of slope, improved absolute correlation, For feature extr
henggie
- 包括随机梯度算法，相对梯度算法，完整的基于HMM的语音识别系统，是学习PCA特征提取的很好的学习资料。- Including stochastic gradient algorithm, the relative gradient algorithm, Complete HMM-based speech recognition system, Is a good learning materials to learn PCA feature extraction.
hou_v76
- 用于信号特征提取、信号消噪，保证准确无误，是学习通信的好帮手，使用高阶累积量对MPSK信号进行调制识别。- For feature extraction, signal de-noising, Ensure accurate communication is learning a good helper, Using high-order cumulants of MPSK signal modulation recognition.
niu-qi21
- 是学习PCA特征提取的很好的学习资料，包括AHP，因子分析，回归分析，聚类分析，感应双馈发电机系统的仿真。- Is a good learning materials to learn PCA feature extraction, Including AHP, factor analysis, regression analysis, cluster analysis, Simulation of doubly fed induction generator system.
giepang_v11
- 是学习PCA特征提取的很好的学习资料，能量熵的计算，对于初学matlab的同学会有帮助。- Is a good learning materials to learn PCA feature extraction, Energy entropy calculation, Matlab for beginner students will help.