qam

simulink for Low-density parity-check code

programme pour calcule sunrise sunset soleil

用α-β滤波器结合卡尔曼滤波器对相位差及其变化率数据进行处理,提高数据的测量精度,从而为进行机载单站无源定位提供高精度数据.给出了误差均方差作为精度指标.(Combined with the α-β filter Kalman filter and the rate of change of phase data processing, improve the measurement accuracy of the data, thus providing high-precision data for the purpose of Airborne Passive Location. Gives the mean square error as accuracy specifications.)

张正友标定，带有实验数据，适合初学者学习和理解(Zhang Zhengyou calibration with experimental data, suitable for beginners to learn and understand)

运用了matlab编程，对数字基带传输进行仿真(Use of matlab programming, the digital base-band transmission simulation)

this code is a faster kmeans clustering implementation

DS-cdma仿真matlab程序 有详细的设计文档和源程序说明(DS-cdma Matlab simulation procedures detailed design documentation and source files note)

The local binary pattern (LBP) is a simple yet very efficient operator which labels the pixels of an image by thresholding the neighborhood of each pixel and considers the result as a binary number. Perhaps the most important property of the LBP operator in real-world applications is its invariance against monotonic gray level changes caused, for example, by illumination variations. Another equally important is its computational simplicity, which makes it possible to analyze images in challenging real-time settings. LBP is also very flexible: it can be easily adapted to different types of problems and used together with other image descriptors

Data files are in Matlab format. Each file contains fan and drive end vibration data as well as motor rotational speed. For all files, the following item in the variable name indicates: DE - drive end accelerometer data FE - fan end accelerometer data BA - base accelerometer data time - time series data RPM- rpm during testing

介绍matlab编程的经典著作,包括与VC++进行联合编程,还包括一些经典的算法和源程序(Matlab programming on the classics, including the VC and joint programming, also including some classic algorithms and source)