资源列表
main_guijifasheng
- 轨迹发生器,自动生成导航轨迹,可用于导航解算。-Trajectory generator, automatically generate the navigation path can be used in navigation solution
battery_
- 基于matlab的蓄电池充电和放电的建模模型-matlab battery charging and discharging of the model based on modeling
LSCF
- 频域的模态参数识别方法之一，可以对振动信号进行分析处理，得出结构的固有频率，阻尼比，振型系数，方法很好，程序完整-Frequency-domain modal parameter identification methods that can analyze the vibration signal processing, draw the structure of natural frequencies, damping ratio, mode shape coefficient, very
GAPSO
- 基于遗传交叉算法的改进的混沌粒子群优化算法，收敛速度快，精度高-The improved chaotic particle swarm optimization algorithm based on genetic crossover algorithm has high convergence speed and high precision
fingqei
- 基于互功率谱的时延估计，包含了阵列信号处理的常见算法，正确率可以达到98％。- Based on the time delay estimation of power spectrum, Contains a common array signal processing algorithm, Accuracy can reach 98 .
20170106RF_Matlab
- 随机森林指的是利用多棵树对样本进行训练并预测的一种分类器，包括两个方面：数据的随机性选取，以及待选特征的随机选取。-Random forest refers to the use of more than one tree to sample the training and prediction of a classifier, including two aspects: random selection of data, as well as the characteristics of
MySpectrum1
- 本程序是计算振动信号各种参数的实验程序。 主要功能是计算均值、标准差、方差、偏斜度、峭度、 峰峰值、方根幅值、平均幅值、峰值、 波形指标、峰值指标、脉冲指标、裕度指标。 -matlab index
case5
- 关于5节点的电力系统潮流计算程序，可以参考学习-On the five-node power flow calculation procedures can refer to the study
Cylinder_around_flow
- 二维圆柱扰流问题LBM方法，采用Matlab语言编写。-The LBM method to solve the cylinder flow(2D),written in the language of Matlab.
flow-past-a-cylinderical-obstacle.
- LBM方法2维9速度模型，求解管道圆柱扰流问题。-Channel flow past a cylinderical obstacle(D2Q9, LBM method).
stbc31
- 在MIMO系统中，空时分组编码STBC对系统性能的测试，3发1收，给出信噪比和误码率的关系图形-In the MIMO system, space-time block coding STBC test system performance, 3 round 1 received, given the relationship between SNR and bit error rate graphics
fenpen_v15
- 滤波求和方式实现宽带波束形成，FIR 底通和带通滤波器和IIR 底通和带通滤波器，详细画出了时域和频域的相关图。- Filtering summation way broadband beamforming, Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter, Correlation diagram shown in detail the time domain and frequency