资源列表
multistage-Wiener-filtering
- 该文件中包含基于维纳滤波原理的多级维纳滤波算法的完整过程，主要用于数据以及信号的处理-This file contains the complete treatment process multistage Wiener filtering algorithm based on the principles of the Wiener filter, used primarily for data and signals
depth-map
- 深度图生成，基于立体匹配获取的深度图质量较好-Depth map, depth map based on good quality stereo matching Being
qietai_v34
- 验证可用，一些自适应信号处理的算法，利用最小二乘法进行拟合多元非线性方程。- Verification is available, Some adaptive signal processing algorithms, Multivariate least squares fitting method of nonlinear equations.
lmdmatlab
- 局部均值分解（Local Mean Decomposition）的matlab程序，内附具体例子-Local Mean Decomposition (Local Mean Decomposition) matlab program, containing a specific example
luoxuanjiangkongpaojiaohe
- 运用MATLAB编写的螺旋桨空泡校核程序。按照《船舶原理》书上的校核方法编写。输入螺旋桨已知数据，直接计算出是否合格。-Using MATLAB prepared by propeller cavitation check program. Prepared in accordance with checking methods Ship Principle book. Enter the propeller known data, directly calculate eligibilit
MATLAB
- MATLAB 椭圆参数方程，带角度的椭圆-MATLAB ellipse parametric equation, angled oval
DPA-for-SM4
- 利用MATLAB对SM4算法电路进行差分功耗分析攻击进行仿真，通过仿真可以实现对SM4加密算法的攻击。-it s the differential power analysis attack simulation for SM4 algorithm,which is realized in MATLAB language. From the simulation waves and results,the DPA for SM4 encryption algorithm is succes
Digital_IF_receiver
- 关于数字中频接收机的MATLAB仿真代码，下变频采用cordic算法，并经过三级抽取、滤波处理。调试通过可运行-This code is about digital IF receiver on MATLAB simulation.downconvert using cordic algorithm, and after three extraction, filtering process. You can run debugging
matlab_simulink--battery
- 微电网的蓄电池模型，包含离散模型和连续模型，适用于初学者。-Micro grid battery model, including the discrete model and continuous model, suitable for beginners.
solar_mppt_boost
- 光伏发电最大功率跟踪模型，适于初学者，参数设置没有错误。-PV maximum power tracking model, suitable for beginners, the parameter settings are not wrong.
NP2
- 利用已知的零点综合出耦合矩阵（N+2）并画出S11、S21响应曲线-Integrated coupling matrix of zeros by using the known ( N+2 ) and draw S11, S21 response curve
semi-supervised-algorithm-matlab
- 半监督分类算法，其中有一些例子可供大家使用-semi-supervised algorithm，there are examples you can try。