资源列表
37001f5d4085
- 利用matlab 编写自由粗糙度表面，一维自由粗糙表面的生成方法-matlab rondom roughness surface
m
- m序列产生matlab仿真，simulink系统仿真-m sequence generator matlab simulation, Simulink system simulation
xml_io_tool
- 读取xml，生成结构体，比系统自带函数方便简介，实用-Read the xml generated structure
1234
- 计算光子晶体能带结构 使用matlab，程序非常容易理解。还配有说明文档。-Calculation of the photonic crystal band structure using the Matlab program is very easy to understand. Document comes with instructions.
BLDCControlGUI
- 用MATLAB GUI工具搭建的电机上位机程序。包括串口功能模块，转速在线画图模块和位置在线画图模块，非常适用于电机调速过程的调试和演示工作。-The host motor control program using MATLAB GUI tools is built.Including the serial port function module, speed online plotting module and position online plotting module which i
zero_crossing_detection
- 超声波流量计过零检测程序。通过找超声波信号的峰值和波形个数来确定到达时间。-It s a ultrasonic flowmeter zero-crossing detection program.To Find the peak of the ultrasonic signal and waveform numbers to determine the arrival time.
GMRES
- 经典的GMRES算法，用matlab实现，与matlab自带gmres比对成功-Matlab implementation of the GMRES algorithm
correlation
- 采用互相关法计算相位差程序。用小波对信号进行消噪，再用互相关法检测两个信号的相位差。-Using correlation method to calculate the interval phase of two signals. Wavelet method is used for signal denoising, and then the interval phase of two signals is detected by correlation method.
matched-wavelet
- 匹配小波的算法仿真。对原始信号进行匹配小波分解后再进行重构，从图中可以看出消噪性能优越。-It s a simulation of match wavelet algorithm. The primitive signal is decomposed by match wavelet and then reconstructed.It is can be seen from the figure that the method has a good denoise performance.
lms
- 我的毕业设计所做的关于自适应天线波束成型算法，采用最小均方自适应滤波方法实现。 -My graduation project on adaptive antenna beamforming algorithm, least mean square adaptive filtering method.
example_0
- 首先信号建模，两种频率的正弦信号叠加，加白噪声和脉冲信号；对叠加信号滤波并提取特征-First, signal modeling, the two frequencies of the sinusoidal signal superimposed with white noise and the pulse signal superimposed signal filtering and extract features
example_0
- 首先，仿真信号建模；其次，形态学滤波及小波方法滤波；最后，特征提取-First, the simulated signal modeling followed by morphological filtering and wavelet filtering Finally, the feature extraction