扩展卡尔曼滤波器EKF和不敏卡尔曼滤波器UKF

比较不同信道下的OFDM符号同步的算法，包括高斯，多径信道等。(Comparison under different channel OFDM symbol synchronization algorithms, including Gaussian, such as multi-path channel.)

高阶谱估计的函数方程,很有用处,用于检测被高斯信号淹没的信号(higher order spectral estimation function equation, useful for the detection of Gaussian signal was submerged signal)

MIMO系统下软判决译码。仿真软件是使用MATLAB进行仿真，(Soft decision decoding of MIMO systems. )

IIR和FIR滤波器的设计，用脉冲响应不变法和双线性变换法设计IIR滤波器，用窗函数法设计了FIR滤波器。(IIR and FIR filter design, with the impulse response method and the bilinear transform IIR filter design using window function design of the FIR filter.)

【转】协同过滤代码，用于推荐系统，包括基于项目和基于用户两种情况。实现基于用户和基于项目的协同过滤算法。 实验所用数据为MovieLens – a web-based movies recommender system with 43,000 users & over 3500 movies. 保存在ga.mat文件用，由于ga.test测试集过于庞大，全部用来计算的话耗时庞大，所以每次计算时随机选择部分，具体函数的使用请参照probar.m。我所得到的实验结果保存在results1-results8.mat里面。([Turn] collaborative filtering code for the recommended system, including project-based and user-based two cases. User-based and project-based collaborative filtering algorithm. Experimental data for MovieLens- a web-based movies recommender system with 43,000 users & over 3500 movies. Saved in ga.mat file with Because ga.test test set is too large, all used to calculate the time-consuming massive, so every time The calculated random selection portion, the use of the specific function, please refer to probar.m. I obtained experimental results are saved inside results1-results8.mat.)

线性同余伪随机数发生器、小数开方伪随机数发生器、利用Logistic方程和混合光学双稳模型产生混沌序列产生的序列矩阵(Linear congruence pseudo-random number generator, decimal square pseudo-random number generator, using Logistic equation and hybrid optical bistable model to generate sequence matrix generated by chaotic sequence)

Fourier transform and DFT (Fourier transform)

FSK BPSK performance

说明：  用级数PI/4 = 1 -1/3 + 1/5 -1/7+…求PI的近似值，要求取前1000项来计算。(With a series PI/4 = 1-1/3+ 1/5-1/7+ ... seeking an approximation of PI, demanded before the 1000 data.)

LMS: Least mean squares (LMS) algorithms is a type of adaptive filter used to mimic a desired filter by finding the filter coefficients that relate to producing the least mean squares of the error signal (difference between the desired and the actual signal)