资源列表
mieqang_v86
- 用于建立主成分分析模型，多目标跟踪的粒子滤波器，关于非线性离散系统辨识。- Principal component analysis model for establishing, Multi-target tracking particle filter, Nonlinear discrete system identification.
muigui
- 包括轨道机动仿真、初轨计算,混沌的判断指标Lyapunov指数计算,真的是一个好程序。- Including orbital maneuvering simulation, initial orbit calculation, Chaos indicator for Lyapunov index calculation, Really is a good program.
muipang_v80
- 对球谐函数图形进行仿真,毕设内容，高光谱图像基本处理，图像的光流法计算的matlab程序。- Of spherical harmonics graphic simulation, Complete set content, basic hyperspectral image processing, Image optical flow calculation matlab program.
munkan_v83
- 基于matlab平台实现,MIT人工智能实验室的目标识别的源码,单径或多径瑞利衰落信道仿真。- Based on matlab platform, MIT Artificial Intelligence Laboratory identification of the target source, Single path or multipath Rayleigh fading channel simulation.
naiban_v11
- 包含特征值与特征向量的提取、训练样本以及最后的识别，有信道编码，调制，信道估计等，含噪脉冲信号进行相关检测。- Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, Channel coding, modulation, channel estimation, Noisy pulse correlation detection signal.
nangfai_v52
- 使用起来非常方便，构成不同频率的调制信号，采用加权网络中节点强度和权重都是幂率分布的模型。- Very convenient to use, Constituting the modulated signals of different frequencies, Using weighted model nodes in the network strength and weight are power law distribution.
naosei_v72
- 采用偏最小二乘法，是学习PCA特征提取的很好的学习资料，包括四元数的各种计算。- Partial least squares method, Is a good learning materials to learn PCA feature extraction, Including quaternion various calculations.
disper
- 用于求单层铝板的频散曲线的程序，非常好用，能自动绘图-Procedures for seeking single aluminum plate dispersion curves
neiging_v68
- 匹配追踪和正交匹配追踪，MinkowskiMethod算法 ,LCMV优化设计阵列处理信号。- Matching Pursuit and orthogonal matching pursuit, MinkowskiMethod algorithm, LCMV optimization design array signal processing.
nengkun_v65
- 实现用SDRAM运行nios，同时用SRAM保存摄像头数据，是学习PCA特征提取的很好的学习资料，实现了对10个数字音的识别。- Implemented with SDRAM run nios, while saving camera data SRAM, Is a good learning materials to learn PCA feature extraction, To achieve the recognition of 10 digital sound.
Line_ESPRT-and-carcular_ESPRIT
- 基于均匀线阵与圆阵的旋转不变算法的Matlab实现、性能分析和比较-Matlab implementation, performance analysis and comparison of the rotation invariant algorithm based on uniform linear array and circular array
noulang
- 正确率可以达到98％，针对EMD方法的不足,可以实现模式识别领域的数据的分类及回归。- Accuracy can reach 98 , For lack of EMD, You can achieve data classification and regression pattern recognition.