储能优化

用matlab对M=8的PSK系统进行蒙特卡罗仿真，分析其误码率(Using matlab for M = 8 the PSK system Monte Carlo simulation, to analyze the bit error rate)

1． 对薄膜形成与生长中相关物理过程及现象进行分析和建模。 2． 利用蒙特卡罗（Monte Carlo）方法和分子动力学（Molecular Dynamics）方法对薄膜形成与生长过程进行计算机模拟。 3． 对多孔硅形成的模拟。 (1. The film formation and growth of relevant physical processes and phenomena analysis and modeling. 2. Monte Carlo (the Monte Carlo) methods and molecular dynamics (Molecular Dyna mics) method for thin film formation and growth process computer simulation. 3. On the formation of porous silicon simulation.)

多重分形去趋势交叉相关性分析DCCA,以及MF-DXA等程序代码，希望对大家有帮助(Multifractal cross correlation analysis of DCCA, and program code such as mm-dxa, hope to be helpful)

这个程序可以修复因噪声/噪音干扰或者因抖动产生的失真的图像，Inverse滤波器, Wiener滤波器和Lucy-Richardson滤波器被使用到，同时代码还使用了光学流线分析，估计模糊的长度和角度。(This program can recover from noise/noise or distortion due to jitter generated images, Inverse filter, Wiener filter and the Lucy-Richardson filter were used, while the code also uses optical flow line analysis, estimated the length and fuzzy angle.)

采用高斯核的多类分类,以wine数据位例，进行编程(the classification using gauss kernal)

gyro matlab fire source file

说明：  是一个dcdc反激式开关电源设计运用matlab的simulink模块，有具体的波形和数据设置(Flyback switching power supply)

2. 设 是窄带信号，定义 是在 区间上均匀分布的随机相位。 是寬带信号，它是一个零均值、方差为1的白噪音信号e(n)激励一个线性滤波器而产生，其差分方程为 。 1） 计算 和 各自的自相关函数，并画出其函数图形。根据此选择合适的延时，以实现谱线增强。 2） 产生一个 序列。选择合适的 值。让 通过谱线增强器。画出输出信号 和误差信号e(n)的波形，并分别与 和 比较。 (Computer Experiments: 1. Consider an AR process x(n) defined by the difference equation where v(n) is an additive white noise of zero mean and variance .The AR parameters and are both real valued: a) Calculate the noise variance such that the AR process x(n) has unit variance .Hence , generate different realization of the process x (n). b) Given the input x (n), an LMS filter of length M = 2 is used to estimate the unknown AR parameters and . The step size is assigned the value 0.05. Compute and plot the ensemble average curve of and by averaging the value of parameters and over an ensemble of 100 different realization of the filter. Calculate the time constant according to the experiment results and compare with the corresponded theoretical value. c) For one realization of the LMS filter, compute the prediction error And the two tap-weight errors and Using power spectral plots of , show that)

仿真4-PAM（脉冲幅度调制）载波调制信号在AWGN（加性高斯白噪声AWGN(Additive White Gaussian Noise)）信道下的误码率和误比特率性能，并与理论值相比较。(Simulation 4-PAM (pulse amplitude modulation) modulation signal in AWGN (additive white Gaussian noise AWGN (Additive White Gaussian Noise)) under the channel bit error rate and bit error rate performance, and compared with the theoretical value.)

学习向量量化神经网络模型与学习算法及MATLAB实现(Learning vector quantization neural network model and learning algorithm)