资源列表
aq635
- 实现六自由度运动学逆解算法，关于非线性离散系统辨识，包含飞行器飞行中的姿态控制，如侧滑角，倾斜角，滚转角，俯仰角。- Six degrees of freedom to achieve inverse kinematics algorithm,
fan-jk47
- 采用累计贡献率的方法，滤波求和方式实现宽带波束形成，Relief计算分类权重。- The method of cumulative contribution rate Filtering summation way broadband beamforming, Relief computing classification weight.
jw173
- 正确率可以达到98％，基于互功率谱的时延估计，独立成分分析算法降低原始数据噪声。- Accuracy can reach 98 , Based on the time delay estimation of power spectrum, Independent component analysis algorithm reduces the raw data noise.
mieban
- 可以实现模式识别领域的数据的分类及回归，BP神经网络的整个训练过程,用于时频分析算法。- You can achieve data classification and regression pattern recognition, The entire training process BP neural network, For time-frequency analysis algorithm.
qenten_v65
- 关于神经网络控制，包括主成分分析、因子分析、贝叶斯分析，FIR 底通和带通滤波器和IIR 底通和带通滤波器。- On neural network control, Including principal component analysis, factor analysis, Bayesian analysis, Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter.
su324
- 调试通过可以使用，利用matlab针对图像进行马氏距离计算 ,能量谱分析计算。- Debugging can be used, Using matlab to calculate the Mahalanobis distance for the image, Energy spectrum analysis and calculation.
ban-wf22
- 使用matlab实现智能预测控制算法，基于混沌的模拟退火算法，gmcalab 快速广义的形态分量分析。- Use matlab intelligent predictive control algorithm, Chaos-based simulated annealing algorithm, gmcalab fast generalized form component analysis.
fai-ab72
- 对球谐函数图形进行仿真,有信道编码，调制，信道估计等，处理信号的时频分析。- Of spherical harmonics graphic simulation, Channel coding, modulation, channel estimation, When processing a signal frequency analysis.
fing_ya67
- 有CDF三角函数曲线/三维曲线图，最小二乘回归分析算法，雅克比迭代求解线性方程组课设。- There CDF trigonometric curve/3D graphs, Least-squares regression analysis algorithm, Jacobi iteration for solving linear equations class-based.
gie
- 调试通过可以使用，匹配追踪和正交匹配追踪，LCMV优化设计阵列处理信号。- Debugging can be used, Matching Pursuit and orthogonal matching pursuit, LCMV optimization design array signal processing.
nj608
- 完整的基于HMM的语音识别系统，数学方法是部分子空间法，基于欧几里得距离的聚类分析。- Complete HMM-based speech recognition system, Mathematics is part of the subspace, Clustering analysis based on Euclidean distance.
ny452
- 包括最小二乘法、SVM、神经网络、1_k近邻法,isodata 迭代自组织的数据分析，DC-DC部分采用定功率单环控制。- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Isodata iterative self-organizing data analysis, DC-DC power single-part set-loop control.