搜索资源列表
gbp_package
- 用于稀疏分解的优化搜索算法，版权属于Patrick S. Huggins and Steven W. Zucker（Yale University）-sparse for the decomposition of optimization search algorithm, Copyright belongs to Patrick S. Huggins and Steven W. Zucker (Ya le University)
FA_quant
- [ya,ind,sd]=FA_quant(x,l) This fuction performs Forward adaptive quantisation of the input vector x using the block size specified in l It returns the quantised signal ya, the quantised index ind for each sample of ya and the quantiser
dsp
- matlb code for DSP and its very importanay yo us to use it 2shta ya man
Rosenstein_lyapunov_m
- 作为学习李雅谱函数的具体例子，满足学习经验模态分解的基本要求-Li Ya-spectral function as learning the specific example of the learning experience to meet the basic requirements of EMD
carrier3leg
- this career leg wow is this a career leg ye ya ofcourse it is a career leg do u have any doubts just refer to model its for sure the one n only model career leg
obtieneRegion
- reconoce las letras de una placa ya recortada
houghyap
- good program to correct angle in image ya
skewcorr
- how to make skew fixed ya
program
- program to make it good ya
skewness
- skewnee correction for 2d image ya
zui da sheng ya
- Z源逆变器最大升压控制仿真模块，实现Z源逆变器的最大升压控制。-MAx boost control
eee
- 杨氏双缝干涉 两相干光源到接收屏上P点距离r1=(D2+(y-a/2)2)1/2, r2=(D2+(y+a/2)2)1/2, 满足相干条件的光波叠加后，对于观察屏上某一确定点，即r1、r2确定后，叠加后的光强为 式中λ为光波的波长， 、 ，令相位差φ=2π（r2-r1）/λ, 最后可得公式如下： ， 最后光强I=4I0cos2（Φ/2）。 观察相干光叠加后光强的分布. -Young' s double slit interference two cohere
smithchart-program-ya
- smithchart program ya
ekf
- 从空中水平抛射出的物体，初始水平速度Vx(0)，初始位置坐标(x(0),y(0))；受重力g和阻尼力影响，阻尼力与速度平方成正比，水平和垂直阻尼系数分别为Kx,Ky,；还存在不确定的零均值白噪声干扰力xa和ya。在坐标原点处有一观测设备(不妨想象成雷达)，可测得距离r(零均值白噪声误差r)、角度(零均值白噪声误差)，使用扩展卡尔曼滤波进行仿真。-The level of throwing objects the air, the speed of the initial level of Vx
MPPT-gao-pin-sheng-ya
- 光伏阵列模型，最大功率点跟踪控制，高频升压，并网输出-PV array model, maximum power point tracking control, high frequency boost, and network output
chap5_linear
- matlab assignment autopilot ya nas
bcs_ver0.1
- 用于实现IEEE论文“Bayesian Compressive Sensing”的图2和图4的。(This set of Matlab (7.0) functions contain the core code for generating Fig.2 and Figs.4(a,b) of the following paper:"Bayesian Compressive Sensing" Shihao Ji, Ya Xue, and Lawrence Carin,