apm_matlab_v0.5.7b

此函数用于IS-95前向链路系统的仿真，包括扩频调制，匹配滤波，RAKE接收等相关通信模块。仿真环境: 加性高斯白噪声信道. 数据速率 = 9600 KBps (This function is used for IS-95 forward link system simulation, including the spread spectrum modulation, matched filter, RAKE receiver and other related communication module. Simulation environment: additive white Gaussian noise channel. Data rate = 9600 KBps)

Max Likelihood for BL(p,q) series estimation - MATLAB SAMPLE CODE(Max Likelihood for BL(p,q) series estimation- MATLAB SAMPLE CODE)

Quadratic interpolation search method M-file

uniform distribution in hexagon

多项式和非多项式曲线拟合，多项式拟合在matlab中可以使用polyfit函数求解多项式系数，通过polyval函数求解拟合多项式在某数据点处的值(Polynomial and non-polynomial curve fitting, polynomial fitting in matlab polyfit function can be used to solve polynomial coefficients, solve the value of a data point to fit a polynomial function by polyval)

说明：  运用波束形成技术定位噪声源，简要编辑了其中的几种算法(Using beamforming technology to locate noise sources, several algorithms are briefly edited.)

fir filter response-2

MIDACO是一般的优化问题求解器。 MIDACO可应用于连续（NLP），离散/整数（IP）和混合整数（MINLP）的问题。问题可能被限制在平等和/或不等式约束。 MIDACO适合多达数百至几千优化变量的问题。 MIDACO实现了一个自由衍生物，启发式算法的处理方法处理的问题，因为黑盒可含有关键功能特性，如非凸性，不连续或随机噪声。(MIDACO is a solver for general optimization problems. MIDACO can be applied to continuous (NLP), discrete/integer (IP) and mixed integer (MINLP) problems. Problems may be restricted to equality and/or inequality constraints. MIDACO is suitable for problems with up to several hundreds to some thousands of optimization variables. MIDACO implements a derivative-free, heuristic algorithm that treats the problem as black-box which may contain critical function properties such as non-convexity, discontinuities or stochastic noise.)

有关通信中常用滤波器和解调方式的大集合，本人收集很是不容易，大家不要错过哦(Commonly used in the communications mode filter and demodulation large collection, I gather it is not easy, we should not miss)

a fast and precise algoritm to find local maximum or minimum