资源列表
OndSTriMAS
- MAS control by voltage inverter
xcorr
- 原信号s1为正弦信号,原信号s2为频率相同的另一正弦信号; 对s1、s2分别加噪声n1、n2得到信号x、y; 对加有噪声的x做自相关函数估计原信号; 对加有噪声的x、y做互相关函数估计原叠加信号。-The original signal s1 is a sinusoidal signal, the original signal s2 is another sinusoidal signal with the same frequency On s1, s2 were adde
power-spectrum-analysis
- 一篇有关于功率谱分析的英文文章,详细介绍了功率谱的公式推导、应用,可以为信号处理和数据运算提供帮助-An article on the power spectrum analysis of the English article, detailing the power spectrum of the formula derivation, application, can provide assistance for signal processing and data operations
bimedical-signal-processing
- 信号处理的基础经典书籍,分为基础方法和应用三大部分。主要介绍的生物医学信号的信号处理,非常经典-Signal processing based on the classic books, divided into basic methods and applications of three parts. The main introduction of the biomedical signal signal processing, very classic
EEG1_1c31
- 使用matlab和excel绘制原始数据图,可以一起绘制16通道,也可选择通道创建子图 使用快速傅里叶变化绘制功率谱,并绘制选择的谱估计算法 使用FIR滤波器(非递归型滤波器)获得EEG信号delta, theta, alpha, and beta波段的波形 绘制每一波段的频谱 通过绘制数个通道数据频谱图来评估信号的稳定性 -Use matlab and excel to draw the original data map, you can draw together wi
FFT_example3
- 采样数据过少,运用FFT变换不能分辨出其中的频率成分。添加零后可增加频谱中的数据个数,谱的密度增高了,但仍不能分辨其中的频率成分,即谱的分辨率没有提高。只有数据点数足够多时才能分辨其中的频率成分。-Sampling data is too small, the use of FFT transform can not distinguish the frequency components. Adding zero can increase the number of data in the s
ofdm_cs_sensing_ultimate
- 关于用循环平稳检测算法的一个很详尽的算法仿真。基于matlab平台。-A very detailed algorithmic simulation of the cyclostation detection algorithm. Based on matlab platform.
juntou_v78
- 包括轨道机动仿真、初轨计算,添加噪声处理,计算十字叉丝的在不同距离的衍射图像。- Including orbital maneuvering simulation, initial orbit calculation, Add noise processing, Calculation crosshairs diffraction image at different distances.
fcsbm
- 用MATLAB编写的遗传算法路径规划,有较好的参考价值,Pisarenko谐波分解算法。- Genetic algorithms using MATLAB path planning, There are good reference value, Pisarenko harmonic decomposition algorithm.
dtw
- 一种衡量两个长度不同的时间序列的相似度的方法- U4E00 u79R u5C1 u5E9 u5E2
jrjic
- 仿真效率很高的,是信号处理的基础,MinkowskiMethod算法 。- High simulation efficiency, Is the basis of the signal processing, MinkowskiMethod algorithm.