资源列表
spo2_version3.2
- 血氧饱和度无线监护系统，用Matlab的GUI形式编程完成-Oxygen saturation of wireless monitoring systems, programming with Matlab' s GUI to complete the form
rx_find_packet_edge
- ofdm定时同步，基于循环平稳性的自相关-ofdm timing
ULCAMUS
- 均匀线阵和均匀圆阵的DOA估计，对理解均匀圆阵的方位360度DOA分辨率相等很有帮助，程序里注释很详细。-the DOA estimation of Uniform linear array and uniform circular array, it is helpful to understand uniform circular array s equal resolution in 360 degrees,the detailed comments are given in it.
a20700
- 转差频率控制的异步电机矢量控制系统仿真-zhuanchapinlvkongzhi
FBG4
- 布拉格光纤光栅受外界力、温度综合影响后反射谱的影响仿真研究- Fiber Bragg Grating by the external force, the combined effect of temperature after the Simulation of reflection spectra
zhenchafa
- 使用帧间差分法进行运动目标检测，内含两组测试图像和测试结果，分别为bmp和jpg格式，并且有详细的使用说明。郑重说明：本程序对阴影处理效果不佳，但思路清晰明了，适合初学者参考。-Frame difference method using the moving target detection, containing two sets of test images and test results, respectively, bmp and jpg format and detailed ins
fft_and_pwelch
- 脉动风速时程的matlab功率谱估计，汉宁窗法-power spectrum
chap3
- 求三阶传递函数的阶跃响应 其中对象采样时间为1ms。 采用专家PID设计控制器。在仿真过程中， 取0.001，程序中的五条规则与控制算法的五种情况相对应。 -Seeking third-order transfer function of the step response in which the object sampling time 1ms. PID controller is designed by experts. In the simulation process, t
pso_svm
- 该文件为粒子群算法优化支持向量机模型参数的matlab代码 支持向量机模型为专门用于处理不平衡数据的成本控制型支持向量机模型 用粒子群算法优化模型中的三个主要参数：C1、C2、sigma-The file is in particle swarm optimization parameters of support vector machine model matlab code for support vector machine model designed for use with
partialpivotingGauss
- 部分选主元的高斯消元法的MATLAB代码，并用该方法结合2次回代接方程组-Part of the pivoting Gaussian elimination of the MATLAB code, and combined with this method 2 times back to the pickup equations
Two_D_SeDuMi
- 在约束感兴趣频带的条件下，运用二阶锥规划方法设计二维FIR滤波器，-Designs an 2-D FIR filter with given desired frequency response H_des(w1,w2) using SOCP
1
- 将白噪声和瑞丽分布的噪声模拟为信号的背景噪声，分别通过小波去噪，EMD去噪，EMD结合小波去噪的方法来进行背景噪声去噪分析。-Ruili, the distribution of white noise and the noise modeled as background noise signals, respectively, through the Wavelet denoising, EMD denoising, EMD combined with wavelet denoising a