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gabor变换程序，初学，matlab,写的比较简单。供大家参考。(gabor transform procedures, beginner, matlab, written in relatively simple. For your reference.)

Antenna show, how is working

数据包络的程序，解决多目标决策，程序中有部分正文的注释，很适合初学者使用。(DEA procedure to solve multi-objective decision-making, program notes, some text, it is suitable for beginners.)

这是清华大学出版社胡广书著的《现代信号处理》的Matlab源程序 (This is widely Hu Qinghua University Press book with the "modern signal processing," the source Matlab)

matlab code for SVM Demo

说明：  扩展卡尔曼滤波器程序，只需改相关参数即可(Extended Kalman filter process)

GM（1，n）灰色预测模型，只有模型建立，计算，作图，检验过程略(GM (1, n) Grey forecasting model, only the model, calculation, mapping, testing process slightly)

非静止多波束声呐混响的自回归模型。综合考虑了环境，几何结构等多种因素通过时变自相关函数仿真混响复数据序列。(This work describes a technique for simulating nonsta- tiouary multibeam Gaussian sonar reverberation sequences. The primary objective is to simulate quadrature-demodulated complex digital vector sequences that have a prescribed time-variaut Covariance function. )

we address the design of economical recursive generalized comb filters (GCFs) by proposing an ef- ficient technique to quantize the multipliers in the z-transfer function employing power-of-2 (PO2) terms. GCFs are efficient anti-aliasing decimation filters with improved selectivity and quantization noise rejection performance around the so-called folding bands with respect to classical comb filters. The proposed quantization technique guarantees perfect pole–zero cancelation in the rational z-transfer function of the GCFs, thus totally avoiding instability problems. Moreover, we propose the use of a simple droop compensator for the sake of recovering the passband droop distorting the useful digital signal in the baseband. A design example is proposed with the aim of showing the application of the proposed technique, and a practical architecture of a sample third-order GCF is discussed.

随机森林算法的matlab代码，这里旨在给初学者研究的随机树回归算法(Random forest algorithm Matlab code, aimed at beginners study a random tree algorithm)