mtalab_F_P

simulation of fuel cell -part3

对所拍摄的车牌进行切割、识别，并对识别结果进行语音播报。(Taken on the license plate cutting, recognition, and voice recognition results broadcast.)

This code is about designing of synthetics seismic data.

OFDM System, including pilot, GI, Guard band, rayleigh channel, AWGN, equalization, channel estimation.

采用最先进的殖民竞争算法Imperialist competition algorithm优化BP神经网络的初始权值、阈值，进行风电功率预测，带数据和实例，ica为主程序(Using the most advanced colonial competitive algorithm Imperialist competition algorithm to optimize the initial weights of BP neural network, threshold, carry wind power prediction with data and examples, ica-based program)

How the K-mean Cluster work Step 1. Begin with a decision the value of k = number of clusters Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following: Take the first k training sample as single-element clusters Assign each of the remaining (N-k) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster. Step 3 . Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample. Step 4 . Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments. (How the K-mean Cluster workStep 1. Begin with a decision the value of k = number of clusters Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following: Take the first k training sample as single-element clusters Assign each of the remaining (Nk) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster. Step 3. Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample. Step 4. Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments.)

　传统的信号理论，是建立在Fourier分析基础上的，而Fourier变换作为一种全局性的变化，其有一定的局限性。在实际应用中人们开始对Fourier变换进行各种改进，小波分析由此产生了。小波分析是一种新兴的数学分支，它是泛函数、Fourier分析、调和分析、数值分析的最完美的结晶；在应用领域，特别是在信号处理、图像处理、语音处理以及众多非线性科学领域，它被认为是继Fourier分析之后的又一有效的时频分析方法。 小波变换与Fourier变换相比，是一个时间和频域的局域变换因而能有效地从信号中提取信息，通过伸缩和平移等运算功能对函数或信号进行多尺度细化分析（Multiscale Analysis），解决了Fourier变换不能解决的许多困难问题。(The traditional signal theory, is based on Fourier analysis based on Fourier transform, and as a kind of global change, it has some limitations. In the actual application of Fourier transform people began to various improved, wavelet analysis produced. Wavelet analysis is a new branch of mathematics, it is functional, Fourier analysis, harmonic analysis, numerical analysis of the crystallization of the most perfect In the fields of application, especially in signal processing, image processing, audio processing as well as many nonlinear scientific fields, it is considered to be the Fourier analysis after another effective time-frequency analysis method. Wavelet transformation and Fourier transform, compared is a time and frequency domain and the local transform can effectively extract information from signal, through the telescopic peace shift etc operation function of the function ? )

微气象学中利用EC资料计算湍流通量，对潜热和二氧化碳通量进行的WPL订正(Micrometeorological EC data to calculate the turbulent fluxes, latent heat and carbon dioxide fluxes of WPL revised)

一段关于捷联惯导系统姿态解算的Matlab仿真程序,有关于误差的计算(Matlab simulation program solver paragraph on the attitude of SINS)

通用型蒙特卡洛程序MCNP4c的中文教程，详细介绍了软件的使用方法(General-purpose Monte Carlo program MCNP4c Chinese tutorial details the use of software)