资源列表
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- 采用db4小波实现一维信号的分解与重建：-Achieved using one-dimensional signal db4 wavelet decomposition and reconstruction:
test4PAMAWGN
- 在带限信道信号传输的仿真。仿真4PAM调制信号在AWGN信道下的性能，画出误比特率和误符号率。-In the band-limited signal transmission channel in the simulation. Simulation 4PAM modulated signal in AWGN channel performance.
two_dimension_heat_conduction_steady
- 用来计算二维稳态导热的温度分布，四边界都是第一类边界条件。-The program is used to calculate temperature distribution of 2D steady heat conduction.
hysteresis-loop-fittin
- 滞后环拟合，采用能量法，具有3次项，可以较好模拟非线性特性的弹性元件-Elastic element hysteresis loop fitting using energy method, with three items, you can better simulate nonlinear characteristics
unifpdf
- unifpdf是一种计算均匀分布概率密度的函数，在生成随机数算法中有重要应用。-unifpdf is a calculation of the probability density function of a uniform distribution, have important applications in random number generation algorithm.
mtcx
- 这个函数用来通过蒙特卡罗求积分， f 要求的函数； fail1 积分下限 fail2 积分上限 a，b 积分区域内x的积分上下限 c,d 积分区域内y的最大和最小值,c,d不是必须的参数，但是有之计算速度更快 n 求解迭代次数- This function is used to find the integral Monte Carlo, function f requirements fail1 integral limit fail2 i
zkw
- 大神提供的最小成本流的简便算法，给大家进行参考，希望有所收获-Minimum Cost Flow
FFT2nd
- matlab的FFT仿真文件，可以设置五种不同频率，幅值，初始想问的输入波形，并且通过FFT变换可以看到各个波形的频谱和相位。-The FFT simulation matlab file, you can set up five different frequency, amplitude, initial input waveform to ask, and you can see the spectrum and phase of each waveform by the FFT.
posdyn_llh
- This program is written to compute the position and angles roll-pitch and yaw through navigation system of Local-Level- coordinate system.
Incompressible-Couette
- 此程序分别用显式格式和隐式格式对不可压库埃特流进行数值求解。-This program can be used to solve the Incompressible Couette flow numerically with an explicit scheme and implicit scheme respectively.
wavelet_example
- 对比各种小波变换的效果，B为输入的原始数据，需要自己添加数据并设置为B-Comparative effects of various wavelet transform, B is the input original data, and the data they need to be added to B
ganzhizhunzeUntitled3
- 如果训练样本集是线性可分的，则从任意初始权向量出发，总可以在有限迭代内找到一个权向量，使所有样本正确分类。-If the training set is linearly separable, starting an arbitrary initial weight vector, you can always find a weight vector in a finite iteration, all samples correctly classified.