prog1

根据伪随机序列理论，由混合同余法产生均匀分布的随机数，进而根据中心极限定理来产生高斯噪声。 分析所产生的均匀分布和高斯分布随机信号的均值、方差、自相关等数字特征，估计其概率密度函数并进行分析，估计其功率谱密度并进行分析。说明该高斯噪声是否符合白噪声特性。 对该高斯噪声进行FIR低通滤波，估计输出低通型限带白噪声的功率谱、相关时间等，并结合白噪声通过线性系统相关理论来进行分析。 (According to the theory of pseudo-random sequence, a uniformly distributed random numbers by mixed congruential method to generate Gaussian noise, and then according to the central limit theorem. Produce a uniform distribution of the analysis and the mean of the Gaussian distribution random signals, variance, since the digital characteristics of the correlation, the probability density function is estimated and analyzed, it is estimated that its power spectral density, and analyzed. The Gaussian noise is in line with the characteristics of white noise. FIR low pass filter of the Gaussian noise, the estimated output of low-pass type band-limited white noise power spectrum, time, etc., combined with the white noise to be analyzed by linear system theory.)

两个（生物地理算法和粒子群算法）智能优化算法MATLAB程序(Two (biogeographic algorithms and particle swarm optimization) intelligent optimization algorithm MATLAB program)

灰色预测模型,灰色预测模型,灰色预测模型,灰色预测模型,灰色预测模型,灰色预测模型,灰色预测模型,灰色预测模型,(Gray prediction model, gray forecasting model, gray forecasting model, gray forecasting model, gray forecasting model, gray forecasting model, gray forecasting model, gray forecasting model,)

系统参数变化，用集合卡尔曼滤波器估计其变化(System parameters used to estimate the changes in the ensemble Kalman filter)

a file for determining a polynomial degrees

Echelon factorization A = c a b.

有较好的参考价值，详细画出了时域和频域的相关图，使用大量的有限元法求解偏微分方程。( There are good reference value, Correlation diagram shown in detail the time domain and frequency domain, Using a large number of finite element method to solve partial differential equations.)

algoritmos utilizados en señ ales matriciales

测量导线网matlab数据导入程序，具有良好的数据实现功能(Traverse network matlab data into the program, with good data to achieve functional)

这是关于mathlab软件使用的一些入门级教程，对mathlab初学者有一定的帮助。(This is an entry-level course about the using of mathlab , it may have some help for mathlab beginners .)