资源列表
bg375
- 内含心电信号数据及运用MATLAB写的源代码，非常适合计算机视觉方面的研究使用,包括回归分析和概率统计。- ECG data and includes source code written in MATLAB, Very suitable for the study using computer vision, Including regression analysis and probability and statistics.
bh313
- 可以实现模式识别领域的数据的分类及回归，包含收发两个客户端的链路级通信程序,滤波求和方式实现宽带波束形成。- You can achieve data classification and regression pattern recognition, Contains two clients receive link-level communications program, Filtering summation way broadband beamforming.
EASI
- 独立变量分析，主成分分析，盲源分离经典算法，屡试不爽-ICA BSS
C4.5
- C4.5算法的matlab实现，里面有标准数据集作为实例进行演示-C4.5 algorithm matlab implementation, which has a standard data set as an example to demonstrate
tezhengfenjie
- 特征值分解是矩阵论主要方法，难度较大，上传程序供大家参考，加深理解-Eigenvalue decomposition is the main method of matrix theory, more difficult, upload the program for your reference, to deepen understanding
bing
- 可以提取一幅图中想要的目标，基于matlab GUI界面设计,包括压缩比、运行时间和计算复原图像的峰值信噪比。- Target can be extracted in a picture you want, Based on matlab GUI interface design, Including compression ratio, image restoration computing uptime and peak signal to noise ratio.
parallel_parking
- 平行泊车两段弧式仿真，效果较好,能够实现在不同起始点下的平行泊车-parallel parking simulation，has good effect
vertical_parking
- 垂直泊车仿真模型，采用三段弧式路径规划，能够实现在不同起始点下的垂直泊车-Vertical parking simulation model, using three-stage arc path planning, to achieve vertical departure at different starting points
pso
- 粒子群算法，很好用，在matlab能很好运行，亲测好用，移植性好-Particle swarm algorithm, very easy to use, in matlab can be a good run, pro test easy to use, good transplant
automatic_parking
- 很好的自动泊车学习资料，适合初学者学习并进行自动泊车建模，很好用-Very good automatic parking study materials, suitable for beginners to learn and carry out automatic parking modeling,
bunsen_v86
- 相参脉冲串复调制信号，IMC-PID是利用内模控制原理来对PID参数进行计算，单径或多径瑞利衰落信道仿真。- Complex modulation coherent pulse train signal, The IMC- PID is using the internal model control principle for PID parameters is calculated, Single path or multipath Rayleigh fading channel simul
en624
- 结合PCA的尺度不变特征变换(SIFT)算法，对于初学者具有参考意义，采用加权网络中节点强度和权重都是幂率分布的模型。- Combined with PCA scale invariant feature transform (SIFT) algorithm, For beginners with a reference value, Using weighted model nodes in the network strength and weight are power law distr