sparseBSS1

The return is the beampattern of the arrays in dB

用局部参数最优化方法设计一个模型参考自适应系统,可调增益的初值Kc(0)=0.2，给定值r(t)为单位阶跃信号，即r(t)=A×1(t)。 要求： 1把连续系统离散化(采样时间可取0.1)。 2编制并运行这个系统的计算机程序(注意调整B值，使系统获得较好的自适应特性)。 3记录ym、yp的曲线 记录kp×kc的曲线 记录广义输出误差e的变化曲线。 4在参数收敛后，让Kp=2变为Kp=1，重新观察Kp×Kc及e的变化曲线。 5找出在确定的B值下，使系统不稳定的A值(阶跃信号的幅值)，并与用劳斯稳定判据计算的结果比较。 (With local parameter optimization method to design a model reference adaptive system, adjustable gain initial Kc (0) = 0.2, for a given value of r (t) for the unit step signal that r (t) = A × 1 ( t). Requirements: a continuous system discretization (sampling time of 0.1 preferred). 2 compiled and run the system computer program (Note B to adjust the value of the system to obtain better adaptive characteristics). 3 records ym, yp curve record kp × kc curve records generalized output error e curves. 4 parameter convergence, let Kp = 2 into the Kp = 1, re-observed Kp × Kc and e curves. B-5 to find value in determining the next, making the system unstable A value (step signal of amplitude), and using Routh stability criterion and the comparison of the results calculated.)

music算法仿真程序 music算法是多重信号分类算法(MUSIC METHOD)

基于二维直方图的图像模糊聚类分割方法，内有算法的参考论文。(Two-dimensional histogram based on fuzzy clustering image segmentation algorithm, which algorithm has the reference papers.)

Elman神经网络的数据预测—电力负荷预测模型研究(Elman neural network data prediction- Power Load Forecasting Model)

matlab fiber code done

pe to snr for equalize zfl and mmse for channel [1/√2 1/√2] with tap 5

LABVIEW 与MATLAB结合代码程序，非常好(LABVIEW-MATLAB)

BIHT中的观测矩阵的另一种改进，实验结果证明，效果更明显(another change of BIHT，perfom very good)

对局部放电信号去噪的性能进行评价，RMSE值越接近于1，去噪效果越好(The performance of partial discharge signal denoising is evaluated, and the closer the RMSE value is to 1, the better the denoising effect is)