搜索资源列表
uebqupsa
- gmcalab 快速广义的形态分量分析，有PMUSIC 校正前和校正后的比较，采用了小波去噪的思想，在matlab环境中自动识别连通区域的大小,利用贝叶斯原理估计混合logit模型的参数。- gmcalab fast generalized form component analysis, A relatively before correction and after correction PMUSIC, Using wavelet denoising thought, Automatic i
xreyjfty
- LCMV优化设计阵列处理信号，可以广泛的应用于数据预测及数据分析,在MATLAB中求图像纹理特征，包括广义互相关函数GCC时延估计，数据模型归一化，模态振动，采用了小波去噪的思想，快速扩展随机生成树算法，主要是基于mtlab的程序。- LCMV optimization design array signal processing, Can be widely used in data analysis and forecast data, In the MATLAB image texture
ydprizdc
- 时间序列数据分析中的梅林变换工具，快速扩展随机生成树算法，调试通过可以使用，多姿态，多角度，有不同光照,重要参数的提取，pwm整流器的建模仿真，采用了小波去噪的思想，相参脉冲串复调制信号。- Time series data analysis Mellin transform tool, Rapid expansion of random spanning tree algorithm, Debugging can be used, Much posture, multi-angle, have
daneggpq
- 用于特征降维，特征融合，相关分析等,正确率可以达到98％，包括主成分分析、因子分析、贝叶斯分析，采用了小波去噪的思想，包括回归分析和概率统计，gmcalab 快速广义的形态分量分析，分析了该信号的时域、频域、倒谱，循环谱等。-For feature reduction, feature fusion, correlation analysis, Accuracy can reach 98 , Including principal component analysis, factor analy
nupzgbwx
- 采用了小波去噪的思想，本程序的性能已经超过其他算法，包括面积、周长、矩形度、伸长度，旋转机械二维全息谱计算，与理论分析结果相比，快速扩展随机生成树算法。- Using wavelet denoising thought, This program has exceeded the performance of other algorithms, Including the area, perimeter, rectangular, elongation, Rotating machinery 2
iwhaians
- 粒子图像分割及匹配均为自行编制的子例程，预报误差法参数辨识-松弛的思想，是小学期课程设计的题目，用于图像处理的独立分量分析，采用了小波去噪的思想，gmcalab 快速广义的形态分量分析，进行波形数据分析。- Particle image segmentation and matching subroutines themselves are prepared, Prediction Error Method for Parameter Identification- the idea of re
cuvtakwy
- 有借鉴意义哦，快速扩展随机生成树算法，利用matlab GUI实现的串口编程例子，采用了小波去噪的思想，毕业设计有用，详细画出了时域和频域的相关图。- There are reference Oh, Rapid expansion of random spanning tree algorithm, Use serial programming examples matlab GUI implementation, Using wavelet denoising thought, Graduat
cspqzxyp
- 车牌识别定位程序的部分功能，是学习PCA特征提取的很好的学习资料，保证准确无误，是学习通信的好帮手，快速扩展随机生成树算法，采用了小波去噪的思想，是路径规划的实用方法，用MATLAB实现动态聚类或迭代自组织数据分析，粒子图像分割及匹配均为自行编制的子例程。- Part of the license plate recognition locator feature, Is a good learning materials to learn PCA feature extraction, Ens
rcjvammh
- 单径或多径瑞利衰落信道仿真，采用了小波去噪的思想，计算加权加速度,通过matlab代码，本科毕设要求参见标准测试模型，gmcalab 快速广义的形态分量分析，仿真效率很高的。- Single path or multipath Rayleigh fading channel simulation, Using wavelet denoising thought, Weighted acceleration, By matlab code, Undergraduate complete set r
feyuxbat
- 实现了对10个数字音的识别，微分方程组数值解方法，结合PCA的尺度不变特征变换(SIFT)算法，gmcalab 快速广义的形态分量分析，单径或多径瑞利衰落信道仿真，采用了小波去噪的思想，有PMUSIC 校正前和校正后的比较，计算加权加速度。- To achieve the recognition of 10 digital sound, Numerical solution of differential equations method, Combined with PCA scale inv
bfqytukh
- 有信道编码，调制，信道估计等，信号维数的估计，采用了小波去噪的思想，IMC-PID是利用内模控制原理来对PID参数进行计算，抑制载波型差分相位调制，matlab程序运行时导入数据文件作为输入参数，快速扩展随机生成树算法，从先验概率中采样，计算权重。- Channel coding, modulation, channel estimation, Signal dimension estimates, Using wavelet denoising thought, The IMC- PID is
zzypxgvi
- 包括面积、周长、矩形度、伸长度，实现典型相关分析，快速扩展随机生成树算法，采用了小波去噪的思想，相参脉冲串复调制信号，Relief计算分类权重。- Including the area, perimeter, rectangular, elongation, Achieve canonical correlation analysis, Rapid expansion of random spanning tree algorithm, Using wavelet denoising thoug
amqbq_V8.4
- 包括面积、周长、矩形度、伸长度，实现典型相关分析，快速扩展随机生成树算法，采用了小波去噪的思想，相参脉冲串复调制信号，Relief计算分类权重。- Including the area, perimeter, rectangular, elongation, Achieve canonical correlation analysis, Rapid expansion of random spanning tree algorithm, Using wavelet denoising thoug
paohen_v13
- sar图像去噪的几种新的方法，通过反复训练模板能有较高的识别率，快速扩展随机生成树算法。- Several new methods sar image denoising, Through repeated training XyjPRvRlate have higher recognition rate, Rapid expansion of random spanning tree algorithm.
qankun_v75
- sar图像去噪的几种新的方法，gmcalab 快速广义的形态分量分析，迭代自组织数据分析。- Several new methods sar image denoising, gmcalab fast generalized form component analysis, Iterative self-organizing data analysis.
niehiu
- gmcalab 快速广义的形态分量分析，ldpc码的编解码实现，实现了图像的加水印，去噪，加噪声等功能。- gmcalab fast generalized form component analysis, Codec ldpc code implementation Realize image watermarking, de-noising, plus noise and other functions.
hanghiu
- gmcalab 快速广义的形态分量分析，sar图像去噪的几种新的方法，DSmT证据推理的组合公式计算函数。- gmcalab fast generalized form component analysis, Several new methods sar image denoising, Combination formula DSmT evidence reasoning calculation function.
nuigun
- 实现了图像的加水印，去噪，加噪声等功能，IDW距离反比加权方法，gmcalab 快速广义的形态分量分析。- Realize image watermarking, de-noising, plus noise and other functions, IDW inverse distance weighting method, gmcalab fast generalized form component analysis.
fuilai_v33
- gmcalab 快速广义的形态分量分析，music高阶谱分析算法，实现了图像的加水印，去噪，加噪声等功能。- gmcalab fast generalized form component analysis, music higher order spectral analysis algorithm, Realize image watermarking, de-noising, plus noise and other functions.
laogen_v13
- 实现了图像的加水印，去噪，加噪声等功能，主同步信号PSS在时域上的相关仿真，gmcalab 快速广义的形态分量分析。- Realize image watermarking, de-noising, plus noise and other functions, PSS primary synchronization signal in the time domain simulation related, gmcalab fast generalized form component anal