Line_Coding

自己写的赖斯信道仿真程序，带概率分布函数，得到经典解(Their own simulation program written Laisi Xin Road, with the probability distribution function, are classical solutions)

这是一个在电磁场和电磁波方面 比较好用的一个小程序 如果你不知道 各个结构的相互关系 这个 你就需要(This is a relatively easy to use in terms of the electromagnetic field and the electromagnetic wave is a small program if you do not know the relationship between the various structures that you need)

PocklingtonPulseSolution calculates the solution to Pocklington s Integral Equation for a straight wire along z-axis.Delta-gap source and Theta-polarized incident plane wave, both types of excitation are optional.

这是mimo ofdm系统的仿真程序，代循环前缀，加性高斯噪声，双发双收的系统，(Channel estimation for a MIMO-OFDM system estimation technique subcarriers)

说明：  利用时域有限差分（FDTD）仿真二维（2D）横电波（TE）的传播，吸收边界条件为完全匹配层（PML）。(The use of finite difference time domain (FDTD) simulation of two-dimensional (2D) transverse electric wave (TE) the spread of absorbing boundary conditions for the perfectly matched layer (PML).)

这是关于信号的调制与解调，是通信原理核心部分，也是通信中很常见的(This is about the signal modulation and demodulation, is the core part of communication theory, communication is very common )

ASK调制解调，及在AWGN信道下的性能(ASK modulation and demodulation, and performance in AWGN channel)

matlab，有关数字信号滤波一个简单例子产生一个几个干扰信号，对要用的信号滤波(a matlab program aboult didital signal filter)

说明：  系统辨识与自适应理论在matlab中的应用，内含源代码(Application of system identification and adaptive theory in MATLAB, including source code)

第一步是计算输人信号单边功率谱密度（ESD）。使用快 ％速傅里叶（FFr）算法将信号从时域转换到频域。因为FFr算法的输出是离散谱，而这 ％里我们需要的是连续谱，因此需要引人不同的比例因子来实现从离散谱到连续谱的转换。 ％在第二步中，我们利用迭代算法计算出相对于特定阂值的ESD的最高和最低频率，从而 ％估算出被检测信号所占用的带宽。这种算法同时适用于基带信号和已调制信号。最后， ％在第三步中，我们给出了输出图形的原代码。(The first step is calculating the input signal unilateral power spectral density (ESD). The use of fast Fourier speed (FFr) algorithm for the signal conversion from time domain to frequency domain. FFR algorithm because the output is a discrete spectrum, which we need is a continuous spectrum, so the need for food of different scale factor to achieve from the discrete spectrum to continuous spectrum conversion. In the second step, we use iterative algorithm to calculate a specific threshold in relation to the ESD of the highest and lowest frequency, thus estimated to be occupied by the signal detection bandwidth. This algorithm applies to both baseband signal and modulation signals. Finally, in the third step, we give the graphical output of the original code.)