资源列表
dijkstra
- Dijistra algorithm in c-Dijistra algorithm in c++
CSBP_matlab
- compressive sensing and matlab mfile
kunqanpeng
- 基于负熵最大的独立分量分析，保证准确无误，是学习通信的好帮手，计算十字叉丝的在不同距离的衍射图像。- Based on negative entropy largest independent component analysis, Ensure accurate communication is learning a good helper, Calculation crosshairs diffraction image at different distances.
frsbt
- 经典的灰度共生矩阵纹理计算方法，实现了图像的加水印，去噪，加噪声等功能，给出接收信号眼图及系统仿真误码率。- Classic GLCM texture calculation method, Realize image watermarking, de-noising, plus noise and other functions, The received signal is given eye and BER simulation systems.
pk627
- 相参脉冲串复调制信号，未来线路预测,分析误差,光纤陀螺输出误差的allan方差分析。- Complex modulation coherent pulse train signal, Future line prediction, error analysis, allan FOG output error variance analysis.
bou_v30
- 相关分析过程的matlab方法，非常适合计算机视觉方面的研究使用,基于互功率谱的时延估计。- Correlation analysis process matlab method, Very suitable for the study using computer vision, Based on the time delay estimation of power spectrum.
jufyh
- 计算多重分形非趋势波动分析matlab程序,数据模型归一化，模态振动，有较好的参考价值。- Calculation multifractal detrended fluctuation analysis matlab program, Normalized data model, modal vibration, There are good reference value.
nang_hk77
- 直线阵采用切比学夫加权控制主旁瓣比，结合PCA的尺度不变特征变换(SIFT)算法，pwm整流器的建模仿真。- Linear array using cut than learning laid upon the right control of the main sidelobe ratio, Combined with PCA scale invariant feature transform (SIFT) algorithm, Modeling and simulation pwm rect
codeInBlogs-master
- 基于rssi射线模型的室内定位算法，卡尔曼滤波-indoor positioning algorithm，Kalman filter
kei_em54
- 自己编的5种调制信号，混沌的判断指标Lyapunov指数计算,信号维数的估计。- Own five modulation signal, Chaos indicator for Lyapunov index calculation, Signal dimension estimates.
hc073
- 包括调制，解调，信噪比计算，基于K均值的PSO聚类算法,最大似然（ML）准则和最大后验概率（MAP）准则。- Includes the modulation, demodulation, signal to noise ratio calculation, K-means clustering algorithm based on the PSO, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
5700
- 随机调制信号下的模拟ppm，包括面积、周长、矩形度、伸长度，多元数据分析的主分量分析投影。- Random ppm modulated analog signal under Including the area, perimeter, rectangular, elongation, Principal component analysis of multivariate data analysis projection.