hiddenMarkovmodel

BPSK调制及其解调过程实现的matlab仿真.(BPSK modulation and demodulation process to achieve the matlab simulation.)

matlab模拟把RF信号和LO信号输入到mixer里得到IF信号。(simulate for put the LO signal and the RF signal into the mixer to get the IF signal.)

Machine learning code

本文介绍了数字喷泉码的编译码原理，LT码和Raport码的，最后的LT码的仿真。非常有用的，适合初学者了解学习！(This paper describes Decoding Principles of digital fountain codes, LT codes and Raport yards, and finally the LT code simulation. Very useful for beginners to understand learning)

adaptive control tutorial第二章习题程序(chapter 2 of adaptive control tutorial)

Adaptive Equalization for Digital Communications

this program is a simple implementing of some numerical analysis formulas such as newton,...

说明：  matlab,自适应滤波算法，包括LSL,LMS等(matlab, adaptive filtering algorithms, including LSL, LMS, etc.)

抽取插值运算，实现信号的抽取，实现信号抽样频率等。(This is for students who is major in communication project.)

给定观测序列 O=O1O2O3…Ot和模型参数λ=(A,B,π)，怎样有效计算某一观测序列的概率，进而可对该HMM做出相关评估。例如，已有一些模型参数各异的HMM，给定观测序列O=O1O2O3…Ot，我们想知道哪个HMM模型最可能生成该观测序列。通常我们利用forward算法分别计算每个HMM产生给定观测序列O的概率，然后从中选出最优的HMM模型。(Given the observation sequence O = O1O2O3 ... Ot and model parameters λ = (A, B, π), how to effectively calculate the probability that a single observation sequence, and thus can make the relevant assessment of the HMM. For example, there are a number of different model parameters HMM, given the observation sequence O = O1O2O3 ... Ot, we want to know which model is most likely to generate the HMM observation sequence. Usually we use forward algorithm calculates the probability of a given observation sequence O generated for each HMM, HMM and then to choose the best model.)