ACATSP

雷达系统仿真雷达系统仿真雷达系统仿真雷达系统仿真(雷达系统仿真雷达系统仿真雷达系统仿真雷达系统仿真雷达系统仿真)

该工具箱包括了二种分类,二种回归,以及一种一类支持向量机算法(The toolkit includes two kinds of classification, two kinds of return, and a one-class support vector machine algorithm)

Matlab implementation of the moment matching and maximum likelihood estimators for the generalized Gaussian density.

该程序主要实现了使用高斯脉冲成形脉冲对OFDM信号进行成形。并对其在AWGN信道下的误码性能进行了测试，对从事4G、5G研究的科研工作者很有好处。(This manusript uses the Gaussian pulse to shaping the OFDM system, ad test the BER performance in AWGN channel, its very helpful for who work in the 4G and 5G communication technology.)

在DSP实现自适应均衡器的程序，LMS算法，对于学习MATLAB有一定用处。(Adaptive equalizer in the DSP program, LMS algorithm, MATLAB has some use for learning.)

测量氨水的气体浓度（由平均阻值和平均电压来表示），它受到环境湿度和加热电压的影响。(Measurement of ammonia gas concentration (from an average resistance and average voltage to that), it is affected by environmental humidity and the heating voltage.)

附录MATLAB 图像处理命令 1．applylut 功能： 在二进制图像中利用lookup 表进行边沿操作。 语法： A = applylut(BW,lut) 举例 lut = makelut( sum(x(:)) == 4 ,2) BW1 = imread( text.tif ) BW2 = applylut(BW1,lut) imshow(BW1) figure, imshow(BW2) 相关命令： makelut 2．bestblk 功 举例(Appendix MATLAB image processing an order. Applylut functions : the binary image using lookup tables for 2500 operations. Grammar : A = applylut (BW, lut) For lut makelut = (sum (x (:)) == 4. 2) = imread BW1 (text.tif) BW2 = applylut (BW1. lut) imshow (BW1) figure, imshow (BW2) related orders : makelut 2. For bestblk Gong)

牛拉法的详细程序！对于潮流计算很有帮助！大家可以参考学习(Cattle Rafah detailed procedures! For the flow calculation is helpful! We can refer to learning)

ASCII art OPTIMIZATION with simulated annealing

首先是针对无或单失效数据情形下，通过多层贝叶斯估计法得到失效概率过后，给出了寿命分布参数的加权最小二乘估计。然后如果失效数据不止一个，使用乘积限估计法来得到失效概率的估计值。(Firstly, the weighted least squares estimation of the life distribution parameters is given by the multi-layer Bayesian estimation method after the failure probability is obtained for the case of no or single failure data. Then if the failure data is more than one, the product limit estimation method is used to obtain the estimated value of the failure probability.)