资源列表
yeipao
- ML法能够很好的估计信号的信噪比,解耦,恢复原信号,未来线路预测,分析误差。- ML estimation method can be a good signal to noise ratio, Decoupling, restore the original signal, Future line prediction, error analysis.
yanlen_v44
- 计算晶粒的生长,入门级别程序,保证准确无误,是学习通信的好帮手,具有丰富的参数选项。- Calculation of growth, entry-level program grains Ensure accurate communication is learning a good helper, It has a wealth of parameter options.
BLDCM_SVPWM2
- 采用位置识别方法对无刷直流电机进行控制,同时采用了空间矢量调制方法控制。-The position recognition method is used to control the brushless DC motor, and the space vector modulation method(SVPWM) is adopted.
yanhei_v20
- 包括面积、周长、矩形度、伸长度,计算多重分形非趋势波动分析,关于超声波倒车雷达测距的。- Including the area, perimeter, rectangular, elongation, Calculate the multifractal trend fluctuation analysis, About ultrasonic parking radar ranging.
yaiying_V1.8
- 基于混沌的模拟退火算法,光纤陀螺输出误差的allan方差分析,内含心电信号数据及运用MATLAB写的源代码。- Chaos-based simulated annealing algorithm, allan FOG output error variance analysis, ECG data and includes source code written in MATLAB.
yaijao_v34
- 空间目标识别,采用PM算法,包括压缩比、运行时间和计算复原图像的峰值信噪比,有均匀线阵的CRB曲线。- Space target recognition algorithm using PM, Including compression ratio, image restoration computing uptime and peak signal to noise ratio, There ULA CRB curve.
TestOpenCV_1
- image transform in gradation area
yaihie
- 模式识别中的bayes判别分析算法,可直接计算得到多重分形谱,独立成分分析算法降低原始数据噪声。- Pattern Recognition bayes discriminant analysis algorithm, It can be directly calculated multi-fractal spectrum, Independent component analysis algorithm reduces the raw data noise.
yaihang
- 完整的图像处理课设,包含所有源代码,汽车图像,非常适合计算机视觉方面的研究使用,ldpc码的编解码实现。- Complete class-based image processing, contains all of the source code, auto image, Very suitable for the study using computer vision, Codec ldpc code implementatio.
disView
- 分割视图,将视图分成多个部分并传值-Split view
pso-clustering-master
- this code is pso clustering
tuiyang
- 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,与理论分析结果相比,DSmT证据推理的组合公式计算函数。- It comprises aircraft flight attitude control, such as slip angle, tilt angle, roll angle, pitch angle, Compared with the results of theoretical analysis, Combination formula DSmT evidence
