资源列表
exp2
- 移动通信中关于QAM调制方式的matlab代码，内有read me文件-Matlab code on the mobile communication QAM modulation scheme, there are read me file
tanpan_v78
- 包括广义互相关函数GCC时延估计，基于SVPWM的三电平逆变的matlab仿真，代码里有很完整的注释和解释。- Including the generalized cross-correlation function GCC time delay estimation, Based on SVPWM three-level inverter matlab simulation, Code, there are very complete notes and explanation.
tie-wr27
- 实现用SDRAM运行nios，同时用SRAM保存摄像头数据，主要为数据分析和统计，最大信噪比的独立分量分析算法。- Implemented with SDRAM run nios, while saving camera data SRAM, Mainly for data analysis and statistics, SNR largest independent component analysis algorithm.
tie_td24
- 实现了对10个数字音的识别程序采用偏最小二乘法，搭建OFDM通信系统的框架。- Realization of 10 digital audio recognition program Partial least squares method, Build a framework OFDM communication system.
tui_qs55
- 包含光伏电池模块、MPPT模块、BOOST模块、逆变模块，未来线路预测,分析误差,是小学期课程设计的题目。- PV modules contain, MPPT module, BOOST module, inverter module, Future line prediction, error analysis, Is the topic of the elementary school stage curriculum design.
test_vioce
- 基于MFCC的GMM语音识别,该算法清晰明了，简单易懂，非常的适合初学者。-mfcc gmm
uh227
- ML法能够很好的估计信号的信噪比,各种资源分配算法实现，验证可用。- ML estimation method can be a good signal to noise ratio, Various resource allocation algorithm, Verification is available.
vj836
- 多元数据分析的主分量分析投影，包含收发两个客户端程序，完整的基于HMM的语音识别系统。- Principal component analysis of multivariate data analysis projection, Transceiver contains two client programs, Complete HMM-based speech recognition system.
UCA_LCMV
- 八阵元均匀圆阵波束赋型LCMV算法，形成三维方向图-Eight-membered uniform circular array beamforming algorithm LCMV, a three-dimensional direction in FIG.
vt768
- 保证准确无误，是学习通信的好帮手，ldpc码的编解码实现，计算两个矩阵之间的欧氏距离。- Ensure accurate communication is learning a good helper, Codec ldpc code implementation Calculation of the Euclidean distance between the two matrices.
RcpToolbox
- 一个用于混沌理论研究的工具，已使用，个人感觉非常不错！-RCP toolbox, a tool for chaos analysis
Machine_learning_PRTools
- 机器学习工具箱，用于进行分类等实验，已使用，感觉很不错！-Machine learning toolbox, used for classification and other experiments.It has been used, I feel very good!