资源列表
qunyanqun
- 计算多重分形非趋势波动分析matlab程序,一个师兄的毕设，能量熵的计算。( Calculation multifractal detrended fluctuation analysis matlab program, A complete set of brothers, Energy entropy calculation.)
kk764
- 包括广义互相关函数GCC时延估计，含噪脉冲信号进行相关检测,阐述了负荷预测的应用研究。( Including the generalized cross-correlation function GCC time delay estimation, Noisy pulse correlation detection signal, It describes the application of load forecasting.)
mang-V6.2
- 包含飞行器飞行中的姿态控制，如侧滑角，倾斜角，滚转角，俯仰角，计算多重分形非趋势波动分析matlab程序,包含CV、CA、Single、当前、恒转弯速率、转弯模型。( It comprises aircraft flight attitude control, such as slip angle, tilt angle, roll angle, pitch angle, Calculation multifractal detrended fluctuation analysis matlab
5818
- 基于欧几里得距离的聚类分析，ML法能够很好的估计信号的信噪比,光纤陀螺输出误差的allan方差分析。( Clustering analysis based on Euclidean distance, ML estimation method can be a good signal to noise ratio, allan FOG output error variance analysis.)
project2
- 基于mfcc和DTW的孤立字词识别源码，可实现简单的语音识别(Based on isolated word recognition and source mfcc DTW can achieve a simple voice recognition)
11
- 采用电导增量法搭建最大功率跟踪的仿真模型，并控制系统并网，具有较高的参考价值。(The simulation model of maximum power tracking is established by means of conductivity increasing method, and the control system is connected with a high reference value.)
SAPSO
- 粒子群改进算法,基本粒子群算法，加快粒子群算法效率(Particle swarm optimization algorithm, particle swarm optimization algorithm to speed up the efficiency of particle swarm optimization algorithm)
OFDM
- 结合理论课讲解基于Matlab仿真OFDM信号，绘制OFDM符号星座图，时域、频域曲线； 绘制发送端、接收端低通滤波器的幅频特性； 分析AWGN信道条件下OFDM系统的误码率性能( combined with the theory of lesson based on Matlab simulation OFDM signal, drawing OFDM symbol constellation, time domain, frequency
Channel-modeling
- 结合理论课讲解基于Matlab建立不同信道模型：高斯信道、Rayleigh信道，Recian信道及多径衰落信道模型； 给出QAM/GMSK调制方式下在上述信道模型下的误码率性能分析，分析比较两种调制方式的优缺点； 分析信道参数、信噪比对误码率性能的影响； (Based on Matlab, we construct different channel models: Gaussian channel, Rayleigh channel, Rec
wsn-node
- WSN中节点确定性部署算法代码，通过MATLAB运行，可以实现(WSN node deterministic deployment algorithm code, through the MATLAB operation, can be achieved)
MRMR
- 最小冗余最大关联算法，在预处理数据时非常有用，可提高预测精度，效果很好(Minimum Redundancy maximum correlation algorithm is useful when data preprocessing, can improve prediction accuracy, good results)
ve247
- ML法能够很好的估计信号的信噪比,Relief计算分类权重，毕设内容，高光谱图像基本处理。( ML estimation method can be a good signal to noise ratio, Relief computing classification weight, Complete set content, basic hyperspectral image processing.)