gongzhenfengjiance

Hidden Markov Model (HMM) Toolbox written by Kevin Murphy A problem of fundamental interest is characterizing such real-world signals in terms of signal models. HMM is referred to as Markov sources or probabilistic functions of Markov chains in the communications literature.

说明：  关于信号输入均匀量化器的信号幅度，用MATLAB实现量化过程(Uniform quantizer on the input signal amplitude, using MATLAB to quantify the process of achieving)

Bee algorithmBee algorithmBee algorithm(1)信号处理、(2)人工智能与模式识别、(3)神经网络、(4)图像处理、(5)数据挖掘、(Bee algorithm3)

matlab与VB接口的例子，老外写的，很详细(VB interface with matlab example, written by a foreigner, in great detail)

说明：  LT CODING： ENCODING AND DECODING OF FOUNTAION CODE(LT ENCODING AND DECODING)

this is the matlab code for a simple PLL circuit "Phase Locked Loop"

License from matlab 2017a

MATLAB RQA 对离散时间序列进行递归图分析然后再进行定量递归分析，是做混沌研究的一种重要方法！(MATLAB RQA recurrence plot analysis of discrete time series then recurrence quantification analysis is an important method to do chaotic research!)

用bp神经网络对经提取得到的信号特征参数进行信号的模式识别。(Bp neural network used by the signal characteristic parameters were extracted for signal pattern recognition.)

说明：  AD835的仿真模型,用matlab的工具箱，simulink搭建的(AD835 simulation model, using matlab toolbox, simulink built)