fdtd-1d

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.)

基带信号采用不归零矩形脉冲， 生成 2PSK 信号的时域波形和功 率谱密度(The baseband signal uses a non-return rectangular pulse to generate the time domain waveform and power spectral density of the 2PSK signal)

ELMAN神经网络的系统分类算法，修改可用，运行环境为Matlab。(System classification algorithm, ELMAN neural network to modify the available, operating environment for the Matlab.)

说明：  认知无线电切换算法，基于排队论，考虑主用户是否随机接入两种情况。(Cognitive radio handover algorithm based on queuing theory, to consider whether the user random access to two main situations.)

利用连续型Hopfield反馈网络求解10城市的旅行商（TSP）问题,matlab编码，内有详细说明。(Using Continuous Hopfield feedback network of 10 cities to solve traveling salesman (TSP) problem, matlab coding, which is described in detail. )

Fast Gaussian Convolution with Recursive Filtering.

Simulation of an Elastic lidar system.

image filtering to reduce difrent type of noise

DCT- discrete cosine transform. compression ratio and psnr value are calculated

And OR Not gate in cellular learning automata