资源列表
pou_v85
- matlab程序运行时导入数据文件作为输入参数，ofdm系统仿真 含16qam调制 fft 加窗 加cp等模块，Gabor小波变换与PCA的人脸识别代码。- Import data files as input parameters matlab program is running, ofdm system simulation including 16qam modulation fft windowing modules plus cp, Gabor wavelet transform a
pt600
- 多抽样率信号处理，光纤无线通信系统中传输性能的研究，matlab程序运行时导入数据文件作为输入参数。- Multirate signal processing, Fiber Transmission wireless communication system performance, Import data files as input parameters matlab program is running.
ITD
- 一个类似于经验模态分解的固有时间尺度分解，可以很好的和emd分解进行比较学习，程序代码完全可以运行，不缺少任何代码-A similar to the intrinsic time scale decomposition of empirical mode decomposition, the comparative study can be very good and the emd decomposition, the program code can be run completely, d
pui_un52
- ML法能够很好的估计信号的信噪比,多元数据分析的主分量分析投影，含噪脉冲信号进行相关检测。- ML estimation method can be a good signal to noise ratio, Principal component analysis of multivariate data analysis projection, Noisy pulse correlation detection signal.
pun-iv13
- matlab开发工具箱中的支持向量机，计算两个矩阵之间的欧氏距离，AHP层次分析法计算判断矩阵的最大特征值。- matlab development toolbox support vector machine, Calculation of the Euclidean distance between the two matrices, Calculate the maximum eigenvalue judgment matrix of AHP.
quadprod
- 一个关于追踪基的降噪源程序，可以学习一下-A noise source program about track matrix, we can learn
SWEMD_LS
- 一个关于emd改进算法，很好用，不缺少任何源程序-About the emd algorithm, useful, is not the lack of any source program
qai-tc45
- 有循环检测，周期性检测，合成孔径雷达（SAR)目标成像仿真，基于matlab GUI界面设计。- There are cycle detection, periodic testing, Synthetic Aperture Radar (SAR) imaging simulation target, Based on matlab GUI interface design.
rParabEmd__L
- 一个改进的emd算法源程序，可以借鉴和学习-An improvement of the emd algorithm source code, can draw lessons and study
Image-Denoising
- 一个关于图像代码降噪的程序，从降噪的方面讲了很多知识，很值得学习-On a program to reduce the noise of image code, in terms of noise reduction of a lot of knowledge, is well worth learning
matlab
- 我自己编写的关于matlab调用数据文件的代码，里面有一些实验数据，可以互相借鉴学习-I write about calling matlab code data file, there are some experimental data, you can learn each other
qen_sq55
- 算法优化非常好，几乎没有循环，ICA（主分量分析）算法和程序，D-S证据理论数据融合。- Algorithm optimization is very good, almost no circulation, ICA (Principal Component Analysis) algorithm and procedures, D-S evidence theory data fusion.