Madgwick

MATLAB语言与控制系统仿真的完整教程。此书写的非常详细。很适合有点基础的MATLAB编程者阅读。(MATLAB Language and Control System Simulation of a complete tutorial. The writing is very detailed. Is little basis for MATLAB programmers to read.)

TH-PPM-UWB的simulink仿真框图以及各个部分的S函数(TH-PPM-UWB in the simulink simulation block diagram and various part of the S function)

TC环境下C语言实现的类似于matlab的数字信号和数字系统分析。使用图形界面，具有坐标显示。可以有z变换后的系统函数直接分析系统的幅频和相频响应(TC C language environment similar to matlab digital signal and digital systems analysis. Use graphical interface, with coordinates display. Z-transform can be directly after the system function of the amplitude-frequency analysis system and phase-frequency response)

正弦sin映射，要学习混沌的可以了解下，还有pdf曲线(Sine mapping with pdf curve, learning chaos can understand)

汽车整车模型，matlab可运行仿真，内包括整车动力性模块以及发动机变数箱选择模块。档位选择方式根据驱动力及速度联合判断加减档(Automobile model, matlab can run the simulation, including the vehicle power module and the engine variable box selection module. Gear selection mode according to the driving force and speed of the joint judgment and addition and subtraction)

MATLAB图像处理的各种函数，实例源代码 ch2_1_1：查看直方图（§2.1.3） ch2_2_1：显示图像（§2.2.2）等(MATLAB image processing a variety of functions, procedures)

最小二乘MATLAB程序，适合用于三维点云的最小二乘拟合。功能很强大！(Least squares MATLAB procedures, suitable for three-dimensional point cloud least square fitting. Powerful!)

递归核最小二乘算法，来至MIT大学的wingate教授，含6个源码，有实例！(dict_init.m- Part of the dictionary implementation used by KRLS algorithm. Can stand alone. dict.m- Part of the dictionary implementation used by the KRLS algorithm. Can stand alone. krls_init.m- Kernel recursive least squares initializer. krls.m- Main KRLS function. Repeatedly called with new data points. krls_query.m- Query the resulting estimator. krls_example.m- An example script showing the different parts. )

用独立分量分析方法实现地震转换波与多次反射波分离(Using independent component analysis method to achieve multiple seismic converted wave and the reflected wave separation)

In this paper, we investigate the timing and carrier frequency offset (CFO) synchronization problem in decode and forward cooperative systems operating over frequency selective channels. A training sequence which consists of one orthogonal frequency-division multiplexing (OFDM) block having a tile structure in the frequency domain is proposed to perform synchronization. Timing offsets are estimated using correlation-type algorithms. By inserting some null subcarriers in the proposed tile structure, we propose a computationally efficient subspace decomposition- based algorithm for CFO estimation. The issue of optimal tile length is studied both theoretically and through simulations. By judiciously designing the tile size of the pilot, the proposed algorithms are shown to have better performance, in terms of synchronization errors and bit error rate, than the time-division multiplexing-based training method and the computationally demanding space-alternating generalized expectation-maximization