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This document shows how to simulate point to point fiber optics link using matlab s simulink.

说明：  对数字信号进行BFSK调制，然后通过高斯白噪声信号后，检测其误码率！(The program s function is to modulate a signal with BFSK,then let the signal go pass a channel of guassian white nosie.At last,The program detects the BER of the signal.)

求解所输入数据的概率分布，可随意设定所分概率区间个数。(Solving the probability distribution of the input data, can be arbitrarily set the number of sub-probability interval.)

针对均匀线形阵列的阵列波束综合，并把波束综合问题描述成一个凸优化问题。 (For array pattern synthesis problem, and describe it as a convex optimization problem.)

基于均匀圆阵的方位角和俯仰角联合估计，采用MUSIC算法和MNM算法估计(Based on Uniform Circular Array azimuth and pitch angle of the joint estimation using MUSIC algorithm and MNM algorithm estimates)

说明：  齐声效应，能模拟几个演奏者同时演奏，但实际只有一个演奏者。(Chorus effect, can simulate several players while playing, but actually only one player.)

卡农 音乐程序，用matlab编写的，根据蜂鸣器的频率发音，可以自己再编写其他曲目(Canon music program, written using matlab pronunciation buzzer frequency you can re-write other tracks)

计算配电网是否满足的辐射状约束,可以作为配电网重构的其中一个约束。(Calculated radial distribution network meets the constraints)

Elman神经网络建立建筑物电力负荷预测模型中遇到的几个关键问题有，数据归一化处理、输入输出样本的选取、隐含层节点数的确定；分别建立Elman神经网络模型，并利用某栋建筑物实际历史电力负载数据进行预测，分析比较与实际数据值的预测精度，得出了一个有效的数据预测模型。(Several key problems encountered in building power load forecasting model based on Elman neural network are data normalization, selection of input and output samples, and determination of the number of hidden layer nodes. Elman neural network models are established respectively, and the actual historical power load data of a building are used for forecasting. Effective data prediction model.)

用于图像去噪实验界面，包括小波去噪，中值滤波等，程序有MATLAB的gui界面，调试成功。(image denosing experiments, a good matlab interface .)