grnnpredict

Drawing the exit chart using matlab

network security algorithm ceasar cipher codes, simple implementation

说明：  good ocr program for matlab

一个变对象最小二乘法的matlab程序和仿真框图(A variable object least squares procedure and simulation diagram matlab)

表面张力 规则是： （1）对周围的 8 近邻的元胞以及自身的状态求和 （2）如果总和< 4 或= 5 ，下一时刻的状态= 0 否则状态= 1 (Surface Tension rules are: (1) around the 8 cell and its neighbor' s state sum (2) If the sum of < 4 or = 5, the next time state = 0 else status = 1)

PLS - DN是一个有限的牛顿为解决非退化的分段线性系统的算法。 PLS - DN的展品可证明半迭代 财产即在全球范围内的精确解在有限数量的迭代算法收敛。被证明是收敛速度 至少前终止线性。 广泛的算法是在我们的AISTATS 2011纸描述：“一个非退化的分段线性系统的有限牛顿算法”。此演示包重新运行 在解决非负最小二乘法（NNLS）问题上的三个稀疏的设计矩阵，从哈威尔波音收集（达夫等人，1989年）第4.2节的实验。 随着PLS - DN，此演示包建议实施五 其他NNLS求解：LCP_Fisher_Newton，LCP_Lemke，PQN，TRESNEI，和SCD (PLS- DN is a finite non-degenerate Newton to solve the piecewise linear system algorithms. PLS- DN exhibits semi-iterative property to prove that the exact solutions worldwide in a limited number of iterative convergence. Proved to be terminated before the linear convergence rate at least. A wide range of algorithms in our AISTATS 2011 paper describes: " a non-degenerate sub-linear systems with limited Newton algorithm." This demo package to re-run in the settlement of non-negative least squares (NNLS) on the design of the three sparse matrices from the Harwell Boeing collection (Duff et al, 1989) Section 4.2 of the experiment. With PLS- DN, this demonstrates the implementation of five other NNLS package proposed solution: LCP_Fisher_Newton, LCP_Lemke, PQN, TRESNEI, and SCD)

用matlab软件实现单位取样序列，并同时配有代码和实现图(Matlab software implementation unit sampling sequence, and at the same time with the code and implementation)

OFDM系统降低PAPR的三种算法之一，PTS方式降低PAPR。(OFDM system to reduce the PAPR of three algorithms, PTS approach reduces PAPR.)

基于CV模型的目标跟踪算法程序源码；提供详细的误差对比及绘图；仅供参考(CV model target tracking algorithm based on Open Source provide a detailed comparison and mapping error for reference only)

汽轮机组故障诊断中横向裂纹振动的数据，使用matlab编辑的源程序(Fault Diagnosis of Steam Turbine Vibration transverse crack data, use the Edit the source code matlab)