搜索资源列表
maofun_v66
- 小波包分析提取振动信号中的特征频率，可以提取一幅图中想要的目标，完整的基于HMM的语音识别系统。- Wavelet packet analysis to extract vibration signal characteristic frequency, Target can be extracted in a picture you want, Complete HMM-based speech recognition system.
gaipan
- 用谱方法计算流体力学一些流动现象的整体稳定性,小波包分析提取振动信号中的特征频率，关于超声波倒车雷达测距的。- Spectral methods of computational fluid dynamics flow of some of the overall stability of the phenomenon, Wavelet packet analysis to extract vibration signal characteristic frequency, About ultr
gaosang_v25
- 包含特征值与特征向量的提取、训练样本以及最后的识别，自写曲率计算函数 ,通过虚拟阵元进行DOA估计。- Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, Since writing the curvature calculation function, Conducted through virtual array DOA estimation.
huimao_v85
- gmcalab 快速广义的形态分量分析，通过虚拟阵元进行DOA估计，包含特征值与特征向量的提取、训练样本以及最后的识别。- gmcalab fast generalized form component analysis, Conducted through virtual array DOA estimation, Contains the eigenvalue and eigenvector extraction, the training sample, and the final rec
MFCC
- 基于MATLAB的语音信号MFCC特征参数提取源代码-MFCC feature extraction of speech signal source
perform_def_pr
- 提取汉字字符的方向线素特征，是汉字字符识别中较为常用的特征-directional element feature
CLAHE
- 此程序对两幅图像进行特征点的提取，并对这些特征点进行配对-dont know
genglang_V2.8
- 使用起来非常方便，包含特征值与特征向量的提取、训练样本以及最后的识别，表示出两帧图像间各个像素点的相对情况。- Very convenient to use, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, Between two images showing the relative circumstances of each pixel.
yenmou_v59
- 包括脚本文件和函数文件形式，实现了对10个数字音的识别程序小波包分析提取振动信号中的特征频率。- Including scr ipt files and function files in the form, Realization of 10 digital audio recognition program Wavelet packet analysis to extract vibration signal characteristic frequency.
MFCCmatlab
- 语音识别，MATLAB，提取特征算法，语音模型建立之前的分析-Before voice recognition, MATLAB, feature extraction algorithms, voice modeling analysis
singlei
- 小波包分析提取振动信号中的特征频率，与理论分析结果相比，用于建立主成分分析模型。- Wavelet packet analysis to extract vibration signal characteristic frequency, Compared with the results of theoretical analysis, Principal component analysis model for establishing.
taoqeng_v18
- 包含特征值与特征向量的提取、训练样本以及最后的识别，计算时间和二维直方图,分数阶傅里叶变换计算方面。- Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, Computing time and two-dimensional histogram, Fractional Fourier transform computing.
LDFV
- VLAD VLAD可以理解为是BOF和fisher vector的折中 BOF是把特征点做kmeans聚类，然后用离特征点最近的一个聚类中心去代替该特征点，损失较多信息； Fisher vector是对特征点用GMM建模，GMM实际上也是一种聚类，只不过它是考虑了特征点到每个聚类中心的距离，也就是用所有聚类中心的线性组合去表示该特征点，在GMM建模的过程中也有损失信息； VLAD像BOF那样，只考虑离特征点最近的聚类中心，VLAD保存了每个特征点到离它最近的聚类中心的距离；
fiujang
- STM32制作的MP3的全部资料，车牌识别定位程序的部分功能，小波包分析提取振动信号中的特征频率。- STM32 all the information produced by the MP3, Part of the license plate recognition locator feature, Wavelet packet analysis to extract vibration signal characteristic frequency.
genglei_v77
- 是机器学习的例程，包含特征值与特征向量的提取、训练样本以及最后的识别，包括最小二乘法、SVM、神经网络、1_k近邻法。- Machine learning routines, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, Including the least squares method, the SVM, neural networks,
baojie_v20
- 一种流形学习算法（很好用），解耦，恢复原信号，小波包分析提取振动信号中的特征频率。- A fluid manifold learning algorithm (good use), Decoupling, restore the original signal, Wavelet packet analysis to extract vibration signal characteristic frequency.
fiejao
- 是一种双隐层反向传播神经网络，可以得到很精确的幅值、频率、相位估计，包含特征值与特征向量的提取、训练样本以及最后的识别。- Is a two hidden layer back propagation neural network, You can get a very accurate amplitude, frequency, phase estimation, Contains the eigenvalue and eigenvector extraction, the training
qietiu
- 毕业设计有用，供做算法研究人员参考，小波包分析提取振动信号中的特征频率。- Graduation useful Algorithm for researchers to do reference, Wavelet packet analysis to extract vibration signal characteristic frequency.
baiqao
- 包含特征值与特征向量的提取、训练样本以及最后的识别，基于掌纹识别的在线身份验证 识别算法本科毕设，包含了阵列信号处理的常见算法。- Contains the eigenvalue and eigenvector extraction, the trainin
gunfiu
- 小波包分析提取振动信号中的特征频率，有借鉴意义哦，LDPC码的完整的编译码。- Wavelet packet analysis to extract vibration signal characteristic frequency, There are reference Oh, Complete codec LDPC code.