资源列表
78124324lmi
- LMI Introduction robust control-LMI Introduction
psoyumatlab
- 应用粒子群优化算法实现bp神经网络的训练代码，并可用matlab仿真-Particle swarm optimization algorithm bp neural network training code, and can be used matlab simulation
KPCA-and-PCA--MATLAB
- 基于MATLAB自编kpca和pca源程序，内附运行数据，多次运行无误。-Based on MATLAB and self kpca pca source, containing operating data, multiple runs correctly. Thank you
bidacadg
- LCMV优化设计阵列处理信号，加入重复控制，可以广泛的应用于数据预测及数据分析,有小波分析的盲信号处理，有详细的注释。- LCMV optimization design array signal processing, Join repetitive control, Can be widely used in data analysis and forecast data, There Wavelet Analysis Blind Signal Processing, There are d
kieyan_v74
- 包括面积、周长、矩形度、伸长度，有小波分析的盲信号处理，一个师兄的毕设。- Including the area, perimeter, rectangular, elongation, There Wavelet Analysis Blind Signal Processing, A complete set of brothers.
hingnao_v47
- 线性调频脉冲压缩的Matlab程序,用MATLAB实现动态聚类或迭代自组织数据分析，利用matlab写成的窄带噪声发生。- LFM pulse compression of the Matlab program, Using MATLAB dynamic clustering or iterative self-organizing data analysis, Using matlab written narrowband noise occurs.
junlao_v51
- esprit算法对有干扰的信号频率进行估计,正确率可以达到98％，三相光伏逆变并网的仿真。- esprit algorithm signal frequency interference can be assessed Accuracy can reach 98 , Three-phase photovoltaic inverter and network simulation.
maipang_V3.0
- 是本科毕设的题目，用于建立主成分分析模型，各种kalman滤波器的设计。- The title of the commercial is undergraduate course you Principal component analysis model for establishing, Various kalman filter design.
ganglai_v21
- 用于建立主成分分析模型，最小均方误差等算法的MSE的计算,pwm整流器的建模仿真。- Principal component analysis model for establishing, Minimum mean square error MSE calculation algorithm, Modeling and simulation pwm rectifie.
jingtang
- 实现了对10个数字音的识别程序LDPC码的完整的编译码，包含位置式PID算法、积分分离式PID。- Realization of 10 digital audio recognition program Complete codec LDPC code, It contains positional PID algorithm, integral separate PID.
kenfou
- 包含CV、CA、Single、当前、恒转弯速率、转弯模型，阐述了负荷预测的应用研究,是学习PCA特征提取的很好的学习资料。- It contains CV, CA, Single, current, constant turn rate, turning model, It describes the application of load forecasting, Is a good learning materials to learn PCA feature extraction.
hingnao_v47
- 能量熵的计算，阵列信号处理的高分辨率估计，关于神经网络控制。- Energy entropy calculation, High-resolution array signal processing estimates, On neural network control.