boxcountdim

可以比较简单实现通信系统中BPSK算法，是其他算法的基础(Can be relatively simple algorithm to achieve communication systems, BPSK, is the basis for other algorithms)

Simulation program to realize OFDM transmission system

Capture images with webcam using Matlab

matlab下实现的DDS发生器，可观察其发生信号的波形，频谱。 运行前请先输入 global theta theta=0 (matlab implementation of the DDS generator, may happen to observe the signal waveform, spectrum. Please enter a pre-operational global theta theta = 0 )

DRM系统中采用不同信道估计算法的性能比较，(DRM systems use different channel estimation algorithm for performance comparison,)

雷达信号理论，对雷达信号进行详细的分析，是一本好书(radar signal theory, the radar signal to conduct a detailed analysis of a good book)

基于MATLAB和5点方差分析智能车十字不过的原因，可以为做基于matlab智能车调试分析上位机的同学提供参考。(Based on the MATLAB and 5 point variance analysis reasons but smart car cross, can do analysis of PC debugging of MATLAB intelligent vehicle based on the students to provide reference. )

Pitch Angle Control for Variable Speed Wind turbines

利用matlab,基于传输矩阵平面波展开法计算一维光子晶体能带结构。(The energy band structure of one-dimensional photonic crystals is calculated by using MATLAB and plane wave expansion method.)

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