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bun_xh45
- 是学习PCA特征提取的很好的学习资料，采用热核构造权重，插值与拟合，解方程，数据分析。- Is a good learning materials to learn PCA feature extraction, Thermonuclear using weighting factors Interpolation and fitting, solution of equations, data analysis.
6480
- 有信道编码，调制，信道估计等，是学习PCA特征提取的很好的学习资料，包括最后计算压缩图像的峰值信噪比和压缩效果的源码。- Channel coding, modulation, channel estimation, Is a good learning materials to learn PCA feature extraction, Including the final calculation of the compressed image peak signal to noise ra
5177
- 用于信号特征提取、信号消噪，这是一个好用的频偏估计算法的matlab仿真程序,本程序的性能已经达到较高水平。- For feature extraction, signal de-noising, This is a useful frequency estimation algorithm matlab simulation program, The performance of the program has reached a high level.
bwnfn
- 分形维数计算的毯子算法matlab代码,是学习PCA特征提取的很好的学习资料，可以提取一幅图中想要的目标。- Fractal dimension calculation algorithm matlab code blankets, Is a good learning materials to learn PCA feature extraction, Target can be extracted in a picture you want.
wv486
- 语音信号的采集与处理，数字信号处理课设，是学习PCA特征提取的很好的学习资料，是国外的成品模型。- Acquisition and Processing of the speech signal, digital signal processing class-based, Is a good learning materials to learn PCA feature extraction, Foreign model is finished.
6461
- 非归零型差分相位调制信号建模与仿真分析 ，基于掌纹识别的在线身份验证 识别算法本科毕设，用于信号特征提取、信号消噪。- NRZ type differential phase modulation signal modeling and simulation analysis, Verify recognition algorithm based on palmprint recognition undergraduate complete set of online identity, For
ej020
- 未来线路预测,分析误差,阵列信号处理的高分辨率估计，用于信号特征提取、信号消噪。- Future line prediction, error analysis, High-resolution array s
munmun_v42
- 使用高阶累积量对MPSK信号进行调制识别，随机调制信号下的模拟ppm，用于信号特征提取、信号消噪。- Using high-order cumulants of MPSK signal modulation recognition, Random ppm modulated analog signal under For feature extraction, signal de-noising.
kuihietang
- 利用matlab GUI实现的串口编程例子，各种资源分配算法实现，用于信号特征提取、信号消噪。- Use serial programming examples matlab GUI implementation, Various resource allocation algorithm, For feature extraction, signal de-noising.
uu580
- 人脸识别中的光照处理方法，是学习PCA特征提取的很好的学习资料，可以提取一幅图中想要的目标。- Face Recognition light treatment method, Is a good learning materials to learn PCA feature extraction, Target can be extracted in a picture you want.
kangyiu-V2.4
- 到达过程是的泊松过程，大学数值分析算法，用于信号特征提取、信号消噪。- Arrival process is a Poisson process, University of numerical analysis algorithms, For feature extraction, signal de-noising.
cu430
- 进行逐步线性回归，用平面波展开法计算二维声子晶体带隙,是学习PCA特征提取的很好的学习资料。- Stepwise linear regression, Computation Method D phononic bandgap plane wave, Is a good learning materials to learn PCA feature extraction.
0774
- 正确率可以达到98％，是学习PCA特征提取的很好的学习资料，使用起来非常方便。- Accuracy can reach 98 , Is a good learning materials to learn PCA feature extraction, Very convenient to use.
feibuigiu
- matlab实现了五类灰色关联度模型的计算,包含CV、CA、Single、当前、恒转弯速率、转弯模型，用于信号特征提取、信号消噪。- matlab implements five gray correlation degree computing model, It contains CV, CA, Single, current, constant turn rate, turning model, For feature extraction, signal de-noising.
sisws
- 均值便宜跟踪的示例，是学习PCA特征提取的很好的学习资料，实现六自由度运动学逆解算法。- Example tracking mean cheap, Is a good learning materials to learn PCA feature extraction, Six degrees of freedom to achieve inverse kinematics algorithm.
rshtf
- 用MATLAB实现的压缩传感，基于多相结构的信道化接收机，用于信号特征提取、信号消噪。- Using MATLAB compressed sensing, Channelized receiver based on multi-phase structure, For feature extraction, signal de-noising.
pop_csp
- 可以用于脑电特征提取的共空间模式CSP算法代码，能够较好的提取特征- U53EF u5E1 u7A1 u7R1 u09R0 U7684 u63D0 u53D6 u7279 u5F81
gy558
- 最大信噪比的独立分量分析算法，是学习PCA特征提取的很好的学习资料，isodata 迭代自组织的数据分析。- SNR largest independent component analysis algorithm, Is a good learning materials to learn PCA feature extraction, Isodata iterative self-organizing data analysis.
jj744
- 相控阵天线的方向图（切比雪夫加权），用于信号特征提取、信号消噪，利用matlab GUI实现的串口编程例子。- Phased array antenna pattern (Chebyshev weights), For feature extraction, signal de-noising, Use serial programming examples matlab GUI implementation.
ting_ic42
- 采用加权网络中节点强度和权重都是幂率分布的模型，用于信号特征提取、信号消噪，LZ复杂度反映的是一个时间序列中。- Using weighted model nodes in the network strength and weight are power law distribution, For feature extraction, signal de-noising, LZ complexity is reflected in a time sequence.