Virtual-modems

matlab语言常用算法程序集_龚纯，包括很多常用算法的程序 (matlab include the programmes of most popular algorithms)

信号子空间变换算法(SST)的聚焦矩阵是利用各频率点与参考频点之间信号子空间的关系导出的.(The focus matrix of signal subspace transform (SST) algorithm is derived from the relationship between the signal subspace of each frequency point and the reference frequency point.)

说明：  q-learning 实现 栅格迷宫路径规划，附带随机迷宫生成代码(Q-learning to achieve grid maze path planning, with random maze generation code)

采用一种快速收敛变步长LMS（Least mean square ） 自适应最小均方算法matlab源程序，其中算法所做的工作是用FIR 滤波器的预测系统，对IIR系统进行预测，如果阶数越高越能逼近被预测系统。(Using a fast convergence of variable step size LMS (Least mean square) adaptive least mean square algorithm matlab source, one of algorithm is the work done by FIR prediction filter systems, prediction of IIR systems, if the higher order the more it can be prediction system approximation.)

医学信息编码标准，很贵呀；医学信息编码标准，很贵呀；(用于医疗软件开发的行业标准)

说明：  《自动控制原理的matlab实现》附录(MATLAB通用函数新编)(&quot Matlab achieve automatic control theory,&quot Appendix (MATLAB generic function New))

tower of henoi problem solving with MATLAB.

File 1: THIS CODE IS USED TO DRAW THE PUMP CURVES AT DIFFERENT PUMP SPEED 1: PUMP CURVE 2: EFFICIENCY CURVE 3: BREAK HORSEPOWER CURVE 4: KW-INPUT CURVE File 2: THIS CODE IS FOR APPLYING THE WAY OF CALCULATING THE EFFICIENCY, POWER AND KW-INPUT FOR VARIABLE SPEED PUMP AT A GIVEN DESIRED HEAD AND DESIRED FLOW AS SHOWN IN THE PAPER TITLED: " how to calculate the pump efficiency and power for variable speed pump" File 3: this code is to correct the use of affinity law by shifting the curve to intersect with the system-curve at the desired flow as shown in the paper titled: "The Correct Method of Calculating Energy Savings to Justify Adjustable-Frequency Drives on Pumps"

蒙特卡洛QPSK编码，画出星座图（含噪声）并将模拟误码率与理论值比较(Monte Carlo QPSK encoding, constellation diagram drawn (including noise) and simulated bit error rate compared with the theoretical value)

here is fantastic iso clustering code which i test it frequently and find it satisfactory. it does k maen clustering in two dimensional data.