scatterinwire

有两个代码文件，是分别计算微带贴片天线设计时背馈和侧馈两种情况下的天线尺寸的，很全很精确！(There are two code files, which separately calculate design of microstrip patch antenna fed back and the side-fed both cases, the antenna size, it is all very precise!)

压缩感知的贪婪迭代算法，算法使用最小二乘估计来重构信号(Greedy iterative algorithm compressed sensing algorithms to reconstruct the signal using a least squares estimation)

基于LMS的双向回波削除源码，不过回波幅度不要大于0.2,否则算法认为DOUBLE TALK DETECT。各位可修改此阀值，试试效果(based on the two-way LMS Echo slashing source, but not greater than the rate Echo 0.2, or that the algorithm** DOUBLE TALK. You can modify this threshold, try Effect)

matlab遗传算法工具箱，可供简单、方便引用(Genetic Algorithms Toolkit for Simple and Easy Reference)

This file contains the code for new edge directed interpolation.

对于噪声中的正弦信号，通过周期图法、AR模型法、Pisarenko谐波分解算法、MUSIC算法和ESPRIT算法进行频率估计，使用N=128个数据样本进行估计. (By the periodogram method, AR model method, the Pisarenko harmonic decomposition algorithm, MUSIC algorithm and the ESPRIT algorithm for sinusoidal signals in noise, frequency estimation, N = 128 data samples to estimate.)

通过fir1设计FIR滤波器，fir2设计任意频率响应的滤波器，采用卷积计算信号通过系统后响应（还原），采用fftfilt计算信号通过系统后响应，一个长序列和一个短序列的卷积。(Fir1 through FIR filter design, fir2 design the frequency response of any filter, the use of convolution calculation of the signal through the system to respond to (restore), calculated using fftfilt signal through the system to respond to, a long sequence and a short sequence of convolution.)

头脑风暴优化算法，群体智能算法中新兴的一种(Brainstorming optimization algorithms, swarm intelligence algorithm emerging as a)

该段代码生成不同长度下，双绞线信道的远端衰减冲激响应系数。双绞线频域带宽最高可达106MHz，采样率设置时必须大于两倍的频域带宽。双绞线信道模型使用ITU-T-SG15 contribution 11GS3-029中的模型。(This code generates a different length, the distal twisted channel impulse response attenuation coefficient. Twisted frequency domain bandwidth of up to 106MHz, must be greater than twice the frequency-domain bandwidth sampling rate settings. UTP channel model using the ITU-T-SG15 contribution 11GS3-029 the model.)

说明：  非性多变量系统递归辨识算法，同时, 也对这些算法的估计一致性问题进行了讨论，具有效果还可以(Recurrent identification algorithms for non-linear multivariable systems are discussed. The estimation consistency of these algorithms is also discussed. The results show that the algorithm is effective and can be used to identify non-linear multivariable systems.)