mrsgarchestfor_con_all

地球物理中地震剖面的成图程序，就有较好的成图效果。(Seismic profiles into the program, there are better mapping results.)

此代码展示了在mimo系统中分别用ML MMSE ZF和MMSE-SIC检测算法的不同误码率曲线(This code shows the mimo system respectively ML MMSE ZF and MMSE-SIC detection algorithm different BER curves)

说明：  household变换，数值插值matlab源程序，插值算法，数值分析源码等。(household transformation, numerical interpolation matlab source, interpolation algorithms, numerical analysis of source code and so on.)

there is an example given

Controlling of Quadrotor UAV Using a Fuzzy System for Tuning the PID Gains in Hovering Mode

2D Multi-Parameter Pie Control

高炉trt模糊pid仿真程序，两输入三输出，含比对部分(Blast furnace TRT fuzzy PID simulation program, the two input three output, including the comparison section)

基于高斯混合模型(GMM)的em算法，给出了其matlab实现(em algorithm for GMM)

用matlab仿真实现ldpc编解码，BPSK调制, 测定误码率与信噪比的关系(Using matlab simulation to realize LDPC Encoding and decoding, BPSK modulation, and to determine the relationship between bit error rate and signal-to-noise ratio)

This book is for people who want to solve ordinary differential equations (ODEs), both initial value problems (IVPs) and boundary value problems (BVPs) as well as delay differential equations (DDEs). Solving ODEs withMATLAB is a text for a one-semester course for upper-level undergraduates and beginning graduate students in engineering, science, and mathematics. Prerequisites are a first course in the theory of ODEs and a survey course in numerical analysis. Implicit in these prerequisites is some programming experience, preferably in Matlab, and some elementary matrix theory. Solving ODEs withMATLAB is also a reference for professionals in engineering, science, and mathematics. With it they can quickly obtain an understanding of the issues and see example problems solved in detail. They can use the programs supplied with the book as templates.