mysegment

通过仿真表明，该算法同几种经典的分布式算法相比，不但降低了发送功率，提高了用户效用，而且有较好的收敛性能，适用于对时延特性要求较高。(Through the simulation shows that this algorithm with several classic distributed algorithm, not only reduce the sending power, improve the user utility, and has better convergence performance, suitable for time delay characteristic request is higher. )

基于matlab的调制解调程序，适用于通信理论的初学者(Based on matlab modulation and demodulation process, communication theory for beginners)

多个VC++与Matlab混合编程的程序及相应的资料，希望对学习混编的人员有帮助(More mixed VC++ and Matlab programming process and the corresponding information, want to help the person learn mixed)

it includes normalizatiom filters in speech and some other codes

PSO与GA混合优化算法，可实现比单纯使用PSO或者GA算法更好的优化效果(PSO and GA hybrid optimization algorithm, can achieve more than a simple algorithm using PSO or GA optimization results better)

用SBL算法和卡尔曼滤波压缩感知算法实现雷达的一维距离像成像，并对两者进行了成像性能分析对吧(SBL algorithm and Kalman filter using compressed sensing algorithm for one-dimensional range radar imaging, and imaging performance analysis carried out both right)

FS_IOC_FIEMAP ioctl infrastructure.

FIR数字滤波器在工程上运用广泛．窗函数法设计FIR数字滤波器是典型的设计方法。目前。相关课程的教科书对窗函数法设计FIR 散字滤波器这部分内容讲解不够细致，学生掌握感到有难度。本文针对窗函数法设计FIR数字滤波器的相关问题．即数字滤波器与模拟样本 滤波器的关系、截断点如何取值和数字滤波器的线性相移特性，结合实例进行分析。并借助Matlab仿真软件对设计进行了分析和验证．(FIR digital filters widely used in engineering. Window method is a typical design FIR digital filter design methods. Present. Related courses textbooks window functions designed FIR filter scattered words to explain this part carefully enough, students are difficult to master. This window function method for the design of FIR digital filters related issues. Samples of the digital filter and analog filter between values and the cut-off points to the linear phase shift digital filter characteristics, with examples for analysis. And using Matlab simulation software design analysis and verification.)

基于CIODs的空时分组码编译码过程，及误比特率曲线的仿真(Based CIODs of space time block code encoding and decoding process, and simulation of bit error rate curve)

降维工具箱，包含主元分析（PCA）,核主元分析（KPCA）等。(Dimensionality reduction kit, including principal component analysis (PCA), Kernel Principal Component Analysis (KPCA) and so on.)