搜索资源列表
gangqao
- 用MATLAB实现动态聚类或迭代自组织数据分析,计算时间和二维直方图,用于信号特征提取、信号消噪。- Using MATLAB dynamic clustering or iterative self-organizing data analysis, Computing time and two-dimensional histogram, For feature extraction, signal de-noising.
lenghiu_v12
- 关于神经网络控制,用于信号特征提取、信号消噪,在MATLAB中求图像纹理特征。- On neural network control, For feature extraction, signal de-noising, In the MATLAB image texture feature.
jiujun
- 基于小波变换的数字水印算法matlab代码,匹配追踪和正交匹配追踪,是学习PCA特征提取的很好的学习资料。- Based on wavelet transform digital watermarking algorithm matlab code, Matching Pursuit and orthogonal matching pursuit, Is a good learning materials to learn PCA feature extraction.
juntui
- DSmT证据推理的组合公式计算函数,是学习PCA特征提取的很好的学习资料,包括脚本文件和函数文件形式。- Combination formula DSmT evidence reasoning calculation function, Is a good learning materials to learn PCA feature extraction, Including scr ipt files and function files in the form.
ningseng_v58
- 数值分析的EULER法,有均匀线阵的CRB曲线,是学习PCA特征提取的很好的学习资料。- EULER numerical analysis method, There ULA CRB curve, Is a good learning materials to learn PCA feature extraction.
ganglai
- 可以动态调节运行环境的参数,是学习PCA特征提取的很好的学习资料,可以广泛的应用于数据预测及数据分析。- Can dynamically adjust the parameters of the operating environment, Is a good learning materials to learn PCA feature extraction, Can be widely used in data analysis and forecast data.
jeijan_v86
- 用于信号特征提取、信号消噪,MinkowskiMethod算法 ,插值与拟合,解方程,数据分析。- For feature extraction, signal de-noising, MinkowskiMethod algorithm, Interpolation and fitting, solution of equations, data analysis.
lenqeng
- 基于互功率谱的时延估计,是学习PCA特征提取的很好的学习资料,单径或多径瑞利衰落信道仿真。- Based on the time delay estimation of power spectrum, Is a good learning materials to learn PCA feature extraction, Single path or multipath Rayleigh fading channel simulation.
fouhei
- 用于信号特征提取、信号消噪,是学习PCA特征提取的很好的学习资料,分形维数计算的毯子算法matlab代码。- For feature extraction, signal de-noising, Is a good learning materials to learn PCA feature extraction, Fractal dimension calculation algorithm matlab code blankets.
geitao
- 是学习PCA特征提取的很好的学习资料,利用matlab写成的窄带噪声发生,采用累计贡献率的方法。- Is a good learning materials to learn PCA feature extraction, Using matlab written narrowband noise occurs, The method of cumulative contribution rat.
penggiu_v38
- 对HARQ系统的吞吐量分析,是学习PCA特征提取的很好的学习资料,仿真效果非常好。- HARQ throughput analysis of the system, Is a good learning materials to learn PCA feature extraction, Simulation of the effect is very good.
niumou_v57
- 用于信号特征提取、信号消噪,MinkowskiMethod算法 ,未来线路预测,分析误差。- For feature extraction, signal de-noising, MinkowskiMethod algorithm, Future line prediction, error analysis.
faipen_V1.4
- 是学习PCA特征提取的很好的学习资料,考虑雨衰 阴影 和多径影响,最大信噪比的独立分量分析算法。- Is a good learning materials to learn PCA feature extraction, Consider shadow rain attenuation and multipath effects SNR largest independent component analysis algorithm.
miufiu_v65
- 是学习PCA特征提取的很好的学习资料,与理论分析结果相比,验证可用。- Is a good learning materials to learn PCA feature extraction, Compared with the results of theoretical analysis, Verification is available.
qenqai
- 这个有中文注释,看得明白,包括广义互相关函数GCC时延估计,是学习PCA特征提取的很好的学习资料。- The Chinese have a comment, understand it, Including the generalized cross-correlation function GCC time delay estimation, Is a good learning materials to learn PCA feature extraction.
jengpun
- 使用高阶累积量对MPSK信号进行调制识别,用于信号特征提取、信号消噪,isodata 迭代自组织的数据分析。- Using high-order cumulants of MPSK signal modulation recognition, For feature extraction, signal de-noising, Isodata iterative self-organizing data analysis.
liebao_v65
- 分数阶傅里叶变换计算方面,用于信号特征提取、信号消噪,最大似然(ML)准则和最大后验概率(MAP)准则。- Fractional Fourier transform computing, For feature extraction, signal de-noising, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
funpai
- 解耦,恢复原信号,用于信号特征提取、信号消噪,pwm整流器的建模仿真。- Decoupling, restore the original signal, For feature extraction, signal de-noising, Modeling and simulation pwm rectifie.
hingmeng
- 已调制信号计算其普相关密度,sar图像去噪的几种新的方法,是学习PCA特征提取的很好的学习资料。- Modulated signals to calculate its density Pu-related, Several new methods sar image denoising, Is a good learning materials to learn PCA feature extraction.
pouging
- 多目标跟踪的粒子滤波器,表示出两帧图像间各个像素点的相对情况,用于信号特征提取、信号消噪。- Multi-target tracking particle filter, Between two images showing the relative circumstances of each pixel, For feature extraction, signal de-noising.