cfg_cfr_20

Goal of the project was to implement numerical methods for solving systems of nonlinear algebraic equations using MATLAB software. As in previous assignment first of all I need to research for functions, which would be helpful during evaluation of each task, later on I was able to implement and test numerical algorithms for solving given problems. Each student got three different equations to solve, and create another one with use of them for finding its zero place with various methods. Each method, result, comment and conclusion is placed in this report. At the end of the report one can find my MATLAB programs, and all references which were used as a help for me during evaluation.

说明：  8psk调制解调的源码。给出调制前后符号的星座图和相关波形，指标对比。(8psk modulation and demodulation of the source. Given before and after the symbol constellation modulation and associated waveforms, index contrast.)

说明：  包含Simulink在控制系统、人工神经网络中的应用(With Simulink in the control system, the application of artificial neural network)

Active Inductor current balancing for multiphase buck-boost converter

F-16，flightgear and matlab 仿真(F-16，flightgear and matlab simulation)

高西全版数字信号处理实验程序，实验分析与实验课后题答案(digital signal processing )

matlab图像特征提取程序。。。图像特征统计及计算(matlab image feature extraction procedures. . . Statistics and computing image features)

隐马尔科夫模型是关于时序的概率模型，描述由一个隐藏的马尔科夫链随机生成不可观测的状态随机序列，再由各个状态生成一个观测而产生观测序列的过程。隐藏的马尔科夫链随机生成的状态的序列，称为状态序列；每个状态生成一个观测，而由此产生的观测的随机序列，称为观测序列。马尔科夫链由初始概率分布、状态转移概率分布以及观测概率分布确定(The hidden Markov model is a probabilistic model for time series. It describes the process of randomly generating unobservable state random sequences from a hidden Markov chain, and then generating an observation by each state to produce an observation sequence. A sequence of randomly generated states of hidden Markov chains, called a sequence of states; each state produces an observation, and the resulting random sequence of observations is called an observation sequence. Markov chain is determined by initial probability distribution, state transition probability distribution and observation probability distribution)

HHT三种源代码：1 法国G.Rilling 2 台湾中央大学 3 matlab交换中心(HHT three sources: 1 France G. Rilling 2 Taiwan Central University 3 matlab switching center)

Matlab code with GUI for decoding ASCII characters into readable text