Rules-debris-splicing

BPX神经网络在matlab开发环境中的实现实例，有利于初学者学习与掌握(BPX neural network in the matlab environment development to achieve the example, be helpful for beginners to learn and master)

Laplace equation solution code using matlab

宽带雷达的检测模型,包括扩展目标模型、线性调频信号和脉冲压缩(Wideband radar detection model,including the distance extended target, the Linear Frequency Modulation signal and pulse compression)

rgb 绘图问题 是matlab方面的 (rgb graphics aspects of the problem is matlab)

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. )

将所创建的MATLAB的GUI图形界面生成.exe文件(MATLAB will create the GUI graphical interface generation. Exe files)

证据推理的一个算法，可以改成matlab的语言代码(Evidential reasoning)

qpsk信号瑞利信道的仿真程序 有ber仿真效果图 推荐(Rayleigh channel simulation program )

wcdma标准，产生单载波matlab信号源，设定任意帧长(the wcdma standards, resulting in single-carrier Matlab source, set any frame size)

test1.m 固定增量法求分界面 test2.m 利用误差平方和函数集群 delet.m 删除数组元素 Err.m 计算误差平方和 Distance.m 欧拉距离计算 (test1.m fixed incremental method for use interface test2.m squared error function cluster de let.m delete array elements Err.m calculation error square Distance.m Euler distance)