param1

Search for max and min local (graph theory)

这是一个对于频率选择性瑞丽信道的仿真，希望对大家有所帮助(This is a Ruili for frequency-selective channel simulation, we hope to help)

完全由MATLAB开发的经典红白机游戏“超级马里奥”，包括GUI界面，作为娱乐消遣(By MATLAB development of the classic NES game “Super Mario”, including the GUI interface, for entertainment)

vc与matlab混合编程的具体实例。vc调用matlab的.m函数，经过编译之后转换为C++程序，实现进行混合编程。(vc mixed with Matlab programming specific examples. Vc call Matlab. M function, compiled after the conversion of C procedures, mixed programming.)

说明：  插值的函数 函数名 功能 Language 求已知数据点的拉格朗日插值多项式 Atken 求已知数据点的艾特肯插值多项式 Newton 求已知数据点的均差形式的牛顿插值多项式 Newtonforward 求已知数据点的前向牛顿差分插值多项式 Newtonback 求已知数据点的后向牛顿差分插值多项式 Gauss 求已知数据点的高斯插值多项式 Hermite 求已知数据点的埃尔米特插值多项式 SubHermite 求已知数据点的分段三次埃尔米特插值多项式及其插值点处的值 SecSample 求已知数据点的二次样条插值多项式及其插值点处的值 ThrSample1 求已知数据点的第一类三次样条插值多项式及其插值点处的值 ThrSample2 求已知数据点的第二类三次样条插值多项式及其插值点处的值 ThrSample3 求已知数据点的第三类三次样条插值多项式及其插值点处的值 BSample 求已知数据点的第一类B样条的插值 DCS 用倒差商算法求已知数据点的有理分式形式的插值分式 Neville 用Neville算法求已知数据点的有理分式形式的插值分式 FCZ 用倒差商算法求已知数据点的有理分式形式的插值分式 DL 用双线性插值求已知点的插值 DTL 用二元三点拉格朗日插值求已知点的插值 DH 用分片双三次埃尔米特插值求插值点的z坐标 (Interpolation function)

针对一个混和正弦波信号，设计FIR滤波器，给出了三种设计方法：凯塞窗函数设计带通滤波器法、FDATool设计法实现凯塞窗函数滤波器的低通、带通和高通三种滤波效果以及椭圆低通滤波器的设计法。利用matlab软件实现。(Sine wave for a mixed signal design FIR filter, gives the three design methods: Kaiser window function design band-pass filter method, the FDATool Design Kaiser window function low-pass filter, band-pass and high passthree filter effects, and elliptic low-pass filter design method. Using matlab software.)

these files are related to speech processing and adaptive filtering

说明：  本程序实现多模态故障检测与故障诊断，用的方法是LPP_GMM_FJ，对象为TE,GMM是用的FJ算法，效果很好(This procedure realize multimodal, fault detection and fault diagnosis method is LPP_GMM_FJ, object for TE, GMM FJ algorithm is used, the effect is very good)

Filter Dialog extends J Dialog Source Code for Andriod.

程序提出了一种基于人群混合算法，是粒子群优化和引力搜索算法的组合。主要目标提高整合PSO和GSA算法的能力(Hybrid Particle Swarm Optimization and Gravitational Search Algorithm (PSOGSA) A new hybrid population-based algorithm (PSOGSA) is proposed with the combination of Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (GSA). The main idea is to integrate the ability of exploitation in PSO with the ability of exploration in GSA to synthesize both algorithms’ strength. Some benchmark test functions are used to compare the hybrid algorithm with both the standard PSO and GSA algorithms in evolving best solution.)