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计算曲面换能器空间各点随时间变化的声场强度，采用的是时间差分法。精度高。(Transducer surface computing space changes over time, each point field intensity, using the time difference. High accuracy.)

In this code, the BER performance of a system which uses sparse channel estimation is compared with a system which uses LSE channel estimation. It is shown that using sparse technique improves the performance of the system

空间谱估计 经典music算法 2个例子(DOA MUSIC)

Matlab应用手册，包括Matlab基本操作和应用(Matlab application manuals, including basic operations and applications in Matlab)

OFDM Communication System is described in this matlab code. Helpful for beginners. Thank you.

讲述了有关matlab的函数，是很有帮助的。(Tells about the matlab function is helpful.)

电力系统配电网潮流计算，基于直接算法的n节点系统，收敛速度快，准确度高。(Power system with the power flow calculation, the n-node system based on the direct algorithm, fast convergence and high accuracy.)

We formulate a scheduling problem that takes into account different hardware delays experienced by the secondary users (SUs) in a centralized cognitive radio network (CRN) while switching to different frequency bands. We propose a polynomial-time suboptimal algorithm to address our formulated scheduling problem. We evaluate the impact of varying switching delay, number of frequencies, and number of SUs. Our simulation results indicate that our proposed algorithm is robust to changes in the hardware spectrum switching delay and its performance is very close to its upper bound. We also compare our proposed method with the corresponding constant switching delay-based algorithm and demonstrate that our suggestion of taking into account the different hardware delays while switching to different frequency bands is essential for scheduling in CRNs.

离散Hopfield神经网络的分类优化计算,在M ATLAB中完美运行(Calculation of classification optimization of discrete Hopfield neural networks, function perfectly in the M ATLAB)

Itti算法和他的文章。Itti提出的显著图模型是一种模拟生物体视觉注意机制的选择性注意模型,比较适合处理自然图像。(Itti algorithms and his article. Itti saliency map model proposed is a simulation of selective attention model organism visual attention mechanism, more suitable for processing natural images.)