资源列表
PPM-TH-UWB
- 该仿真实验展示了PPM-TH-UWB的整个发射链路。包括二进制源，重复编码器，发送编码和PPM调制器，以及脉冲形成器。-The simulation shows the entire launch of the PPM-TH-UWB link. Including a binary source, the encoder is repeated, the transmission encoding and PPM modulator, and the pulse shaper.
drawmoxing
- 生物模型数值仿真，预测种群数量大小，模拟平衡态的稳定性-Numerical simulation of the biological model, to predict the size of the population, to simulate the stability of the equilibrium
generation
- 产生固定周期数的正弦脉冲信号 使用该函数时必须预先设定如下参数：正弦波的频率Fp，构成输出脉冲的正弦波的周期个数Nc，脉冲幅度A每个周期的采样点数smp。函数有两个输出：脉冲波形，以响亮sinpulse的形式输出，采样周期dt。-Produce a fixed number of cycles of the sine pulse signal Use this function must be pre-set the following
generationuwb
- 该函数用于产生固定时间宽度的正弦脉冲。使用该函数式必须预先设定如下参数：脉冲的时间宽度Tp，正弦波的周期个数Nc，脉冲幅度A，脉冲的采样点数smp。-This function is used to generate a sinusoidal pulse of fixed time width. Using the function formula must be pre-set to the following parameters: the number Nc of the time of
laypunov
- Laypunov 指数计算，用于判断系统的定性及稳定性分析-The index of Laypunov calculation used to determine the qualitative and stability analysis of
Debug
- 将10^6以内的素数进行筛选，时间复杂度为O(nlog(n))。-Screening primes less than 10 ^ 6, the time complexity of O (nlog (n)).
twoprey
- prey-predator 模型数值仿真，预测prey种群及predator种群的数量大小-prey-predator model numerical simulation to predict the size of the number of prey populations and predator populations
DrawTrajbushishizhilianxu
- 时滞微分方程数值模拟与仿真，用于种群模型、传染病模型图像拟合-The Delay Differential Numerical Modeling and Simulation for the population model, the infectious disease model image fitting
stochastic-dealy
- 随机时滞程序，用于种群模型、传染病模型数值模拟-The stochastic delay procedures for the population model, the numerical simulation of the epidemic model
the-only-decoding-and-real-time-code
- 该程序主要功能是判断码字是否为唯一可译码和即时码。-The main function of the program is to determine whether the code word for the only decoding and real-time code.
LDSComplex
- Simple C++ library for complex numbers arithmetic
Matrix
- Simple matrix algebra C++ library. Implements such a useful tools like a: - Linear equation solving via QT decomposition - Singular value decomposition - Karhunen-Loeve transform