syntraces

随机过程的改进代码,使用龙格-库塔算法计算输出信号和输出功率谱,研究双稳态系统必备.(Random process of improving the code, using the Runge- Kutta algorithm to calculate the output signal and the output power spectrum of bistable systems essential.)

FFT变换以及IFFT变换 基于matlab编程 (Based on the FFT and IFFT transform matlab programming)

滤波求和方式实现宽带波束形成，基于分段非线性权重值的Pso算法，这个有中文注释，看得明白，通过matlab代码，非归零型差分相位调制信号建模与仿真分析 ，matlab程序运行时导入数据文件作为输入参数，使用拉亚普诺夫指数的公式，抑制载波型差分相位调制。( Filtering summation way broadband beamforming, Based on piecewise nonlinear weight value Pso algorithm, The Chinese have a comment, understand it, By matlab code, NRZ type differential phase modulation signal modeling and simulation analysis, Import data files as input parameters matlab program is running, Raya Punuo Fu index using the formula, Suppressed carrier type differential phase modulation.)

matlab有限元结构动力分析与工程应用 第6章源程序(matlab finite element structural dynamic analysis and engineering application source code in Chapter 6)

for some reason the last part is id, which i don t want and the parts seem to be in the reverse order the one in which we find the data itself.

这是一将动态矩阵控制算法利用一个function形式表达出来的，可以实现基本的控制。(DMC algorithm)

通过输入区间端点a和b以及精度，初始等分数和最大外推层数来近似f(x)在a到b上的积分！(By entering a and b as well as the interval endpoint accuracy, the initial fraction and the like to approximate the maximum number of layers extrapolation f (x) at the points a to the b!)

real genetic algorithm matlab code

从国外大学上下的Levenberg算法程序(From foreign universities Levenberg algorithm program from top to bottom)

DFT进行频谱分析时的三种现象 1、混叠：对连续信号采样，要求连续信号是带限的，采样频率要足够高。Fs应满足Nyquist采样定理才不产生混叠。 采样前加低通滤波器防混叠 2、频谱泄漏：DFT对时域信号进行了截断（相当于采样信号乘了一个窗函数），时域的乘积相当于频域卷积，改变了原信号频谱。 改用其他窗函数（非矩形）改善泄漏。 3、栅栏现象：DFT 只给出了频谱在采样点上的取值，采样点间的频谱内容丢失。(DFT spectrum analysis of a three phenomena, aliasing : continuous signal sampling, requiring continuous signal is band-limited, the sampling frequency should be high enough. Fs meet the Nyquist Sampling Theorem would not have aliasing. Sampling former low-pass filter plus anti-aliasing 2, spectrum leakage : DFT right time domain signal a disconnect (equivalent to a sampling signal by a window function). time domain is equivalent to the product of frequency-domain convolution, changes in the spectrum of the original signal. Window functions to switch to other (non-rectangular) to improve leakage. 3, fenced phenomenon : DFT spectrum is given only at the sampling point value, sampling points of the spectrum as lost.)