Super-Mario-Code

k nearest neigbours classifier

提出了一种求解电磁场有限元 边界元混合法所生成的线性方程组的有效方法 ———内观 法结合多波前法.由于该线性方程组的系数是一个部分稀疏部分满填充的矩阵,为了加速求解,应用内观法将系数矩阵分为 2块,一块是有限元法形成的稀疏矩阵,另一块是边界元法生成的满阵,然后用多波前法求解稀疏矩阵方程,用高斯 约当消去法解满阵方程. 采用该方法,计算了二维多层介质柱体的雷达散射截面.计算结果表明,该方法的计算效率远远高于传统的高斯法.(Proposed for solving mixed finite element boundary element linear equations generated by an effective method of Vipassana--- a combination of multi wave front method. Since the coefficients of linear equations is a part of the sparsely populated part of the full matrix, in order to speed up the solution, application of Vipassana coefficient matrix is ​ ​ divided into two, one is the finite element method for the formation of the sparse matrix, the other is the boundary element method generates the full array, and then use the multifrontal method for solving sparse matrix equation Gauss Jordan elimination method with full matrix equation solution. use this method to calculate the two-dimensional multi-layer dielectric cylinder of the radar cross section. The results show the computational efficiency of this method is much higher than the traditional Gaussian law.)

gsm tch/fs语音信道传送接收过程仿真，包括外编码卷积码交织过程，仿真得到语音信号的误码率曲线。(gsm/fs voice transmission channel receiver process simulation, including the encoding process convolutional codes are intertwined, Simulation is the voice signal BER curves.)

COPULA to simulate a speckle pattern

使用viterbi方法译码的源代码，可以绘制最佳路径选择过程的仿真图(Viterbi decoding method using the source code, you can draw the best path selection process simulation diagram)

实现小波变换，对实采数据进行进行处理，挖掘数据特征(Wavelet transform of real data mining processing, data mining feature)

HMM模型的参数学习，利用的是Baumwelch方法，进行交叉迭代(HMM model parameter learning, the use of the Baumwelch way cross iteration)

Waterfall plot matlab function. Plots the waveforms in X(time,rcvr) vs. "time".Each trace is auto scaled so that the peak-to-peak value is at most 1.0 then each trace is offset by 1 unit.

这是一篇关于软件估算技术的概述，挺全面的。(This is an article on software estimation techniques outlined, quite comprehensive.)

说明：  近10年来的大量研究充分肯定了自主神经活动与心血 管疾病死亡率特别是猝死率之间的关系。同时也公认心率变 异(HRV)是判断自主神经活动的最好的定量指标(Nearly 10 years of extensive research activities in full recognition of the autonomic nervous and cardiovascular disease mortality rate in particular, the relationship between sudden death. Heart rate variability also recognized (HRV) is the best judge of autonomic nervous activity quantitative index)