资源列表
t3_1
- 求解三次样条函数思路为：由 连续 预设 , 为一次多项式：故 积分2次 积分常数（2个） 由插值条件 确定 积分常数 得 （含预设的 ） 利用 连续： 确定 的 个方程 + 2边界条件 确定 加入 的表达式，形成 。 -solving cubic spline function ideas : consecutive default, as a polynomial : so integral two integral constant (2) determined by int
Wind_Turbine_Pm_Tm
- 风力机模型 通过matlab simulink建立的,现在这种资太少了-wind turbine model through the establishment of the Matlab Simulink, which is now too little funding
GRBF
- 还可以把，大家可以去看看。我觉得还可以还可以把，大家可以去看看。我觉得还可以-can also be used, we can look at. I think that can also can also be used, we can look at. I felt that I could
zuixiaoercheng
- 系统辨识中的最小二乘算法程序，希望对大家有用-system identification of least-squares algorithm procedures in the hope that it may be useful to
lvboquzaoxin
- 用于消噪处理用于研究Mallet算法及滤波器设计分解的高频系数采用db9较好,即它的消失矩较大-for Signal Processing Algorithms for the study Mallet decomposition and filter design using high-frequency coefficients db9 better, that is, its larger vanishing moments
xiaobohanshu
- 对于小波去噪，采用的是小波函数，并在去噪同时进行语音的压缩。-for wavelet denoising, using the wavelet denoising and simultaneously voice compression.
ann_examples
- 神经网络的一些例子,和仿真程序,非常全面,欢迎下载-neural network some examples, and the simulation program, very comprehensive, welcome to download
adaptive-signal-arithmetic
- Some algorithms of variable step size LMS adaptive filtering are studied．The VS—LMS algorithm is improved． Another new non-linear function between肛and e(／ t)is established．The theoretic analysis and computer simulation results show that this algo
algorithms-LMS-adaptive-filtering
- adaptive filter and its M atlab simulation based on LM S algorithm.-adaptive filter and its simulation M atlab S based on LM algorithm.
Ant_Pls
- 基于matlab编写的蚁群-偏最小二乘算法(AOC_PLS),该算法实现含变量多的数据的变量的筛选!-prepared by the Matlab-based Ant - PLS algorithm (AOC_PLS) The algorithm with variable number of variable data Screening!
FIR-differentiate
- By building a nonlinear function relationship between an d the error signal，this paper presents a no— vel variable step size LMS(Least Mean Square)adaptive filtering algorithm．
CDAPSO
- 一种新的随机优化技术:基于群落动态分配的粒子群优化算法(Community Dynamic Assignation-based Particle Swarm Optimization,CDAPSO)。新算法通过动态改变粒子群体的组织结构和分配特征来维持寻优过程中启发信息的多样性,从而使其全局收搜索能力得到了显著提高,并且能够有效避免早熟收敛问题。-a new stochastic optimization techniques : Community-based dynamic allocat