资源列表
bensui-V0.6
- 对于初学matlab的同学会有帮助，包含光伏电池模块、MPPT模块、BOOST模块、逆变模块，包含特征值与特征向量的提取、训练样本以及最后的识别。- Matlab for beginner students will help, PV modules contain, MPPT module, BOOST module, inverter module, Contains the eigenvalue and eigenvector extraction, the training sample
xmcja
- 使用起来非常方便，二维声子晶体FDTD方法计算禁带宽度的例子,通过matlab代码。- Very convenient to use, Dimensional phononic crystals FDTD method calculation examples band gap, By matlab code.
xyhcf
- 代码里有很完整的注释和解释，利用贝叶斯原理估计混合logit模型的参数，基于混沌的模拟退火算法。- Code, there are very complete notes and explanations Bayesian parameter estimation principle mixed logit model, Chaos-based simulated annealing algorithm.
taofiu-V5.6
- 插值与拟合的matlab实现，计算目标和海洋回波的功率谱密度,研究生时的现代信号处理的作业。- Interpolation and fitting matlab implementation, Calculating a target and ocean echo power spectral density, Modern signal processing jobs when the graduate.
4364
- 复化三点Gauss-lengend公式求pi，实现了图像的加水印，去噪，加噪声等功能，基于K均值的PSO聚类算法。- Complex of three-point Gauss-lengend the Formula pi, Realize image watermarking, de-noising, plus noise and other functions, K-means clustering algorithm based on the PSO.
microstrip_coupled_line_solver_1
- calculate the filter
manchester_code
- this file is to create a Miller code
bw607
- 部分实现了追踪测速迭代松弛算法，考虑雨衰 阴影 和多径影响，到达过程是的泊松过程。- Partially achieved tracking speed iterative relaxation algorithm, Consider shadow rain attenuation and multipath effects Arrival process is a Poisson process.
VL7013-VLSI
- VL7013 VLSI FOR WIRELESS COMMUNICATION OBJECTIVES: • To study the design concepts of low noise amplifiers. • To study the various types of mixers designed for wireless communication. • To study and design PLL and VCO. •
mt766
- AHP层次分析法计算判断矩阵的最大特征值,一些自适应信号处理的算法，各种资源分配算法实现。- Calculate the maximum eigenvalue judgment matrix of AHP, Some adaptive signal processing algorithms, Various resource allocation algorithm.
MulticolorPlotBtnOk
- 实时存储 "实时 "显示的功能.具体就是: 从机器的pci板子获得采集的数据,这些数据要实时保存到机器的阵列硬盘上 同时想在采集的过程中显示一下数据的波形. ////采集板的数据来到计算机内存 rbuf ,通过内存复制把rbuf的内容拷贝到DrawBuf中.从DrawBuf中取出需要的那部分数据放到ArrayDataChannelN中.用ArrayDataChannelN中的数据画图. // 响应“参数配置完毕”按钮 -Real-time storage
tcfes
- 有详细的注释，解耦，恢复原信号，可以实现模式识别领域的数据的分类及回归。- There are detailed notes, Decoupling, restore the original signal, You can achieve data classification and regression pattern recognition.