很好用的有限元法求解偏微分MATLAB编程

经典matlab教材《数字信号处理及其matlab实现》电子书(Matlab classic textbook " Digital Signal Processing and its matlab implementation," e-books)

Abstract— We propose a simple speech compression algorithm using subband division and ADPCM (Adaptive Differential Pulse Code Modulation) algorithm. Although speech data are stored in a semiconductor memory device, its capacity and the available network capacity are limited. Therefore, it is necessary to compress the data as much as possible. The first is that the reconstructed datum must be understood correctly. Speech signal is compressed with a ratio of 1/4 using the proposed subband division and ADPCM (Adaptive Differential Pulse Code Modulation) algorithm.

说明：  计算刚性轴瓦的径向滑动轴承油膜压力的二维分布(Two dimensional distribution of oil film pressure of journal bearing with rigid bearing bush)

本matlab代码详细仿真了信道编码，其中包括外编码（线性分组码）、信道交织以及内编码（卷积编码），并做了相应的解码处理。

微分方程组数值解方法，匹配追踪和正交匹配追踪，使用拉亚普诺夫指数的公式，有信道编码，调制，信道估计等，基于分段非线性权重值的Pso算法，BP神经网络用于函数拟合与模式识别。

MA11AB与VC++混合编程，开发了水轮机综合特性曲线数据处理系统。该系 统利用VC++友好的界面编程对水轮机综合特性曲线已知区域数据进行提取，使用MATLAB 搜索引擎调用RBF人工神经网络库对提取数据进行拟合并结合边界约束条件对未知区域内的 数据进行预测(MA11AB with VC++ mixed programming, developed the turbine characteristic curve of integrated data processing system. The system uses VC++-friendly programming interface integrated characteristic curve of the turbine region are known to extract data, using MATLAB search engine called RBF artificial neural network to extract data from the Treasury to be bound by the conditions of the merger combined with the border region of the unknown data Forecast)

费诺编码源程序 如：p=[0.4 0.3 0.2 0.1] fano(p)(fano source code)

一个有趣的matlab编程的俄罗斯方块。编程思想值得一学！J向左，L向右，I变换，S向下。(An interesting matlab programming Tetris. Programming ideas worth learning! J to the left, L to the right, I transform, S down.)

信道编码技术在数字通信系统中的应用研究,主要针对卷积码进行了仿真。(Application of channel coding technology in digital communication systems, mainly for convolution codes simulated.)

此演示展示了误码性能的线性、 判决反馈 （DFE） 和最大似然序列估计 （MLSE） 均衡器在深为空的静态信道中操作时。有了完善的渠道知识，然后用虽然简单，但也有不完美的信道估计算法，首先调用 MLSE 均衡器。通过蒙特 Carlo 仿真确定误码率结果。演示了如何使用这些均衡器无缝地跨多个块的数据，在那里数据块之间必须保持均衡状态。演示绘制误码率结果动态，每个 Eb/No 值。在仿真运行在一个特定的 Eb/No 值时，标绘的误码率点将更改其位置上表明许多错误的集合如何降低误码率估计的方差的阴谋。此外演示了每个均衡器类突发误码性能。它通过显示改进的灰度直方图的连续错误之间的时间间隔。如果无误的时间间隔的高百分比是小于大约五位，然后错误的性能可说是突发性。