result

声光技术在雷达动目标模拟中的应用， 由于受到延迟时间固定不变或只能离散变化的限制,许多雷达目标模拟器不能模拟连续运动目标的变化。为此,设计了一种新型的声光延迟系统,并对该系统的性能作了分析。与其它延迟系统相比,本系统的优点在于延迟时间可连续变化,延迟总时间可满足信号处理的要求。因此,它可以方便地应用于运动雷达目标模拟和其它信号的处理。 (Sound and light technology in radar moving target simulation, due to the limit of the delay time constant or only discrete changes, many radar target simulator can not simulate changes in the continuous moving target. To this end, the design of a novel acousto-optical delay system, and the performance of the system analyzed. Compared with the other delay system, the advantage of this system is that the delay time can be continuously changes to delay the total time can satisfy the requirements of the signal processing. Therefore, it can be easily applied to the sports radar target simulation, and other signal processing.)

93C66 application notes

Modular Cascaded H-Bridge Multilevel PV Inverter With Distributed MPPT for Grid-Connected Applications

说明：  LMS算法的MATLAB 实现 结果正确 可以直接使用(MATLAB LMS algorithm can be used directly to achieve the correct result)

说明：  基于梯度相似度的图像质量评价方法，发表在2012年TIP国际期刊上(Full reference image quality evaluation)

此程序是关于OFDM（正交频分复用）同步中信道响应的程序(This procedure is on the OFDM (Orthogonal Frequency Division Multiplexing) channel synchronization in response to the procedure)

在MATLAB中用差分方程法求给定脉冲响应的传递函数(Transfer function of the differential equation method in MATLAB with the demand for a given pulse response)

迭代学习similink 闭环PD型多输入多输出迭代学习控制，双入双出(ILC SIMULINK two input two output.)

学习MATLAB7.0经典英文教材，帮助相关开发人员学习MATLAB7.0的使用。(MATLAB7.0 classic English learning materials to help developers learn MATLAB7.0 related use.)

经典的香农采样定理认为,为了不失真地恢复模拟信号,采样频率应该不小于奈奎斯特频率(即模拟信号 频谱中的最高频率)的两倍.但是其中除了利用到信号是有限带宽的假设外,没利用任何的其它先验信息.采集到 的数据存在很大程度的冗余.Donoho等人提出的压缩感知方法(Compressed Sensing或Compressive Sampling, CS)充分运用了大部分信号在预知的一组基上可以稀疏表示这一先验信息,利用随机投影实现了在远低于奈奎斯 特频率的采样频率下对压缩数据的直接采集.该方法不仅为降低采样频率提供了一种新思路,也为其它科学领域 的研究提供了新的契机.该文综述性地阐述了压缩感知方法的基本原理,给出了其中的一些约束问题和估计方法, 并介绍压缩感知理论的相关问题———矩阵填充,最后讨论了其未来可能的应用前景. (According to the conventional Shannon s sampling theorem,in order to represent the analog signal,the sampling rate should not be less than twice the Nyquist sampling rate.Howev- er,this theorem only makes use of the bandwidth information.As a result,the collected data contain many redundant information.The recently proposed sampling method,compressed sens- ing or compressive sampling(CS),can collect compressed data at the sampling rate much lower than that needed in Shannon s sampling theorem by exploring the compressibility of the signal. This paper presents a review on the basic theory of CS.Some of the restrictions and recovery methods in CS are also discussed.Finally,some potential applications based on CS are presented. )