Network

说明：  一帧语音+CS(MP,BP OMP)重构算法包括读取分帧重构计算 误差分析(A voice+CS (MP, BP OMP) reconstruction algorithm consists of reading framing error analysis reconfigurable computing)

分数阶fourier变换程序，基于插值和抽取操作和卷积运算的快速算法。(Fractional fourier transform procedures, based on interpolation and extraction operation and fast algorithm for convolution operation.)

说明：  共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。 在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数。(Conjugate gradient method Gradient) is a method between the steepest descent method and Newton's method. It only uses the first derivative information, but overcomes the disadvantage of slow convergence of steepest descent method, and avoids the disadvantage of storing and calculating Hesse matrix and solving inverse of Newton's method. Conjugate gradient method is not only one of the most useful methods to solve large-scale linear equations, but also the most effective method to solve large-scale nonlinear optimization One of the algorithms of. Among all kinds of optimization algorithms, conjugate gradient method is very important. It has the advantages of small storage, step convergence, high stability and no external parameters.)

实现有限域中乘法，输入二个普通二级制数，输出在本原多项式的乘法结果(Achieve limited multiplication field, enter the number of two-tier system of two ordinary output in primitive polynomial multiplication results)

一维欧拉方程计算，集合了Lax-Friedrichs，Richtmyer，MacCormack，Steger-Warming，Van Leer，AUSM，Zha-Bilgen，Godunov，Osher，Roe，Rusanov，HLL(HLLE)，HLLL，AUFS方法(One dimensional Euler equation, including Lax-Friedrichs, Richtmyer, MacCormack, Steger-Warming, Van Leer, AUSM, Zha-Bilgen, Godunov, Osher, Ro, Rusanov, HLL(HLLE), HLLL, AUFS)

用有限差分方法求解波动方程，画出波场快照，模拟波在地下传播！(The wave equation by finite difference method, draw the wave field snapshot, simulate wave propagation in the underground!)

K均值算法实现二维点的聚类，可以手动选择分的类别数(K mean algorithm for clustering two dimensional points)

灰色预测模型，对未来数据进行预测，同时还有误差检测(GM(1,1),Grey prediction model, which can forecast future data and detect errors at the same time)

合肥工业大学数值分析（计算方法A）中高斯—塞德尔算法的实现(Gauss- Seidel Algorithm)

带LASSO修正的LARS算法 稀疏表示(LARS with LASSO modification Sparse Representation)