资源列表
Aver--Path--Length
- 一个很有用的计算网络中两节点的距离以及平均路径长度的程序，对网络分析很有用-A very computing network with a two-node distance and the average path length of program and very useful for network analysis
flick
- 电网电能质量中的电压波动和闪变仿真波形；电网电能质量中的电压波动和闪变仿真波形-Power quality voltage fluctuations and flicker simulation waveforms
fir
- 用窗函数法设计一个线性相位FIR数字低通滤波器，用理想低通滤波器作为逼近滤波器，通带截止频率为0.2 ，阻带截止频率为0.4 ，阻带衰减不小于-40dB。-Window function method to design a linear phase FIR digital low-pass filter, as an ideal low-pass filter for approximation filter passband cutoff frequency of 0.2 stopband
daobai
- 该仿真程序以倒立摆数学模型为例，用于求系统传递函数、传递函数的极点以及开环脉冲响应。-The simulation program pendulum mathematical model, for example, is used the demand system transfer function, the transfer function poles as well as the open-loop impulse response.
pyrAndResid
- 图像金字塔分解，输入一幅图像，以及需要分解的层数，可以输出图像的金字塔分解-Image pyramid decomposition
experiment_1
- 若采样周期为，求采样后的离散时间信号；又设A/D变换的量化步长为 ，求量化后的数字信号，并绘出曲线。-If the sampling cycle is, evaluates to the sampled discrete-time signal Suppose the quantization step size for the A/D conversion, seeking the digital signal after the quantization, and plotted curv
niMxulie
- 在matlab环境下，产生M序列及逆M序列，并画图进行比较-Matlab environment, to generate M sequences and inverse M sequence, and drawing comparison
match_filter
- BPSK匹配滤波器的误码率统计。1.二进制PSK信号进过波形生成器，生成根升余弦信号 2.对信号加噪声 3.接受加噪信号后，匹配滤波 4.统计误码率-BPSK matched filter error rate statistics. 1 signal into a binary PSK waveform generator had to generate root raised cosine signal (2) of the signal plus noise 3. Accept the a
DblSimpson
- 在MATLAB中用复合辛普森公式求函数的二重数值积分。-realizing double integral by Complex Simpsons Formula in MATLAB
3
- 故障行波波头识别：模极大值原理识别故障行波波头-Modulus maxima principles identified wave head
NonlinearObservabilityAnalysis
- This implements Lie-derivative based complete observability analysis for relative localization using equabilent relative measurement model.
exRBFNN
- 用于初学者学习径向基函数神经网络，可以了解径向基函数神经网络的预测程序。对径向基函数神经网络有一个大体的了解。-For beginners to learn the radial basis function neural network prediction program can understand radial basis function neural network. Radial basis function neural network has a general underst