MATLABSmith

Orthogonal Greedy Algorithm Sparse Signal Reconstruction for Compressive Sensing

滤波器程序，通过低通滤波器对数据进行滤波处理(Low-pass filter , mainly for time series filtering process .)

matlab pso algorithm code that can use easily

说明：  Wireless Sensor Networks WSNs Modified LEACH

给定虚警概率,仿真发现概率在各种干扰下的仿真曲线(Given false alarm probability, the simulation shows that the simulation curve of probability in all kinds of interference)

implementation of k means algorithm source code

逆滤波与维纳滤波和约束最小二乘滤波复原,有助于初学者(Inverse filter and Wiener filter and constrained least squares filtering for restoration to help beginners)

有关控制领域PID算法，实现简单的界面编程有待进一步完善(PID algorithm for the control of the area to achieve a simple interface for programming to be further improved)

About UWB A co-basis is a special orthonormal basis, of the Hilbert function space, whose base functions are shape-invariant to Fourier transform except for phase shifts known a priori. A notable advantage of the co-basis orthonormal-expansion method lies in that it essentially conceals the difference between time- and frequency-domains expansions, such that expanding the UWB spectra (frequency domain) is almost equivalent to expanding the pulse shapes (time domain), making the designing task significantly simple. This paper highlights this advantages through tutorial examples on the design of UWB pulses with DAA functionality that meets Korea spectrum regulations.(About UWB)

智能天线的自适应算法通过迭代运算获取用于波束形成的最优权值矢量时,是否具有较快的收敛速度和较小的稳态误差成为决定波束形成性能的主要因素.据此提出在传统的LMS算法中引入变步长和变换域的思想,采用改进的自适应算法用于波束形成.MATLAB仿真结果表明,该算法具有较快的收敛速度和较小的稳态误差,波束形成的性能更优.(lms)