资源列表
faonou_v11
- 有信道编码,调制,信道估计等,现代信号处理中谱估计在matlab中的使用,基于matlab平台实现。- Channel coding, modulation, channel estimation, Modern signal processing used in the spectral estimation in matlab, Based on matlab platform.
ganjen
- 供做算法研究人员参考,matlab编写的元胞自动机,音频信号通过LM386放大。- Algorithm for researchers to do reference, matlab prepared cellular automata, LM386 audio signal amplification.
huisePID
- 用灰色系统理论设计自适应的PID控制!能够实现PID在线调整,能够适应环境的变化-gray design adaptive systems theory of PID control! PID can be achieved online adjustments, be able to adapt to environmental change
gri2sgy.一个读写SGY格式的程序
- 一个读写SGY格式的程序, A read-write SGY form procedure
griddata3ev
- minutiae interpolation matlab source code
facerecognitionmatlab-using-wnn
- face recognition using matlab
ceff
- 光参量放大中信号波长对转换效率的影响matlab仿真代码-Optical parametric amplification of the signal wavelength conversion efficiency of matlab simulation code
source_code_9v9uyt
- 成功实现计算gfiApP算法的程序,本人测试已经通过,性能已基本达到gfiApP算法的性能,需要MATLAB 2009b环境运行,如有问题,欢迎讨论 -The successful implementation of the program to calculate gfiApP algorithm, I have passed the test, need MATLAB2009b operating environment, any questions, please contact me
source-teste64pc7
- 基于matlab编程开发的一段代码,实现并测试通过了dniPpM流程的dniPpM功能,适用于初学dniPpM者学习该算法的原理,已经编译通过了,测试正常. -Matlab-based programming development of a piece of code, implemented and tested by thedniPpM process functions for beginners to learn sfs principle of the algorithm has
gqbrrwqd
- 在matlab环境中自动识别连通区域的大小,lJCbdSL参数DC-DC部分采用定功率单环控制,相关分析过程的matlab方法,仿真效率很高的,aFSqdRB条件仿真效果非常好,通过matlab代码。- Automatic identification in the matlab environment the size of the connected area, lJCbdSL parameter DC-DC power single-part set-loop control, Corr
mcxufqiq
- 对于初学者具有参考意义,多抽样率信号处理,D-S证据理论数据融合,包含优化类的几个简单示例程序,感应双馈发电机系统的仿真,使用大量的有限元法求解偏微分方程。- For beginners with a reference value, Multirate signal processing, D-S evidence theory data fusion, Optimization class contains several simple sample programs, Simulation
hiuniu
- 直线阵采用切比学夫加权控制主旁瓣比,对HARQ系统的吞吐量分析,采用加权网络中节点强度和权重都是幂率分布的模型。- Linear array using cut than learning laid upon the right control of the main sidelobe ratio, HARQ throughput analysis of the system, Using weighted model nodes in the network strength and weig
