LLMSaNLMS

MP重构算法程序！可以直接运行！而且有十分清晰的注释！适合刚接触压缩感知重构算法初学者使用(compressed sensing reconstruction matching puristi)

通过输入关参数，求相得四阶累积量。方便的解决了求四阶累积量的计算复杂问题。(Through the input parameters, phase fourth order cumulants. Convenient to solve the fourth-order cumulant of calculating the complex problems. )

聚类集成算法CSPA、HGPA、MCLA的实现(three cluster ensembles algorithms cspa，hgpa and mcla)

焊接点热源温度场模拟，对于焊接温度场模拟很有用处(Weld heat source temperature field simulation)

kalman滤波与粒子滤波比较！跟踪slam(Comparison of kalman filter and particle filter! Tracking slam)

Adaptive Composite Differential Evolution Algorithm 自适应复合差分进化算法(Differential Evolution with Composite Trial Vector Generation Strategies and Control Parameters)

基于训练序列的MIMO信道最小二乘估计算法蒙特卡洛仿真(Training sequence based MIMO channel estimation algorithms least squares Monte Carlo simulation)

introduction to matlab

CDMA TECHNOLOGY SIMULATION USING MAT LAB CODE

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