基于随机森林思想的组合分类器涉及——乳腺癌诊断

Once chosen the angle of incidence, does the graph of the transmittance as a function of frequency.

无监督混合高斯模型（GMM）的EM估计，含两篇IEEE论文的源码(This is a set of MATLAB m-files implementing the mixture fitting algorithm described in the paper M. Figueiredo and A.K.Jain, "Unsupervised learning of finite mixture models", IEEE Transaction on Pattern Analysis and Machine Intelligence, vol. 24, no. 3, pp. 381-396, March 2002.)

说明：  用MATLAB中的simulink pid控制器实现汽车abs系统实时仿真(Implementation of real time simulation of automobile ABS system using Simulink PID controller in MATLAB)

说明：  用遗传算法实现电梯群控系统的电梯调度方案分配(Genetic Algorithm)

产生右图所示图像f1(m,n)，其中图像大小为256×256，中间亮条为128 ×32，暗处=0，亮处=100。对其进行FFT： ① 同屏显示原图f1(m,n)和FFT(f1)的幅度谱图； ② 若令f2(m,n)=（-1）m+n f1(m,n)，重复以上过程，比较二者幅度 谱的异同，简述理由； ③ 若将f2(m,n)顺时针旋转90 度得到f3(m,n)，试显示FFT(f3)的幅 度谱，并与FFT(f2)的幅度谱进行比较； ④ 若将f1(m,n) 顺时针旋转90 度得到f4(m,n)，令f5(m,n)=f1(m,n)+f4(m,n)，试显 示FFT(f5)的幅度谱，并指出其与FFT(f1)和FFT(f4)的关系； ⑤ 若令f6(m,n)=f2(m,n)+f3(m,n)，试显示FFT(f6)的幅度谱，并指出其与FFT(f2)和 FFT(f3)的关系，比较FFT(f6)和FFT(f5)的幅度谱。(Generating an image f1 (m, n) shown in the figure, wherein the image size is 256 256, the intermediate light bar 128 32 0 = dark, bright Department 100. Its FFT: ① screen display picture f1 (m, n) and the FFT (f1) of the amplitude spectrum ② If so f2 (m, n) = (-1) m+n f1 (m, n), repeat The above process, comparing the amplitude spectrum of the similarities and differences between the two, brief reasons ③ If f2 (m, n) 90 degrees clockwise to get f3 (m, n), try to display FFT (f3) the amplitude spectrum and with the FFT (f2) comparing the amplitude spectrum ④ If f1 (m, n) obtained by 90 degrees clockwise f4 (m, n), so f5 (m, n) = f1 (m, n)+f4 (m, n ), try to display FFT (f5) amplitude spectrum, and pointed out its relationship with the FFT (f1) and FFT (f4) of ⑤ If so f6 (m, n) = f2 (m, n)+f3 (m, n) and try to display the FFT (f6) amplitude spectrum, and pointed out its relationship with the FFT (f2) and FFT (f3), comparing FFT (f6) and FFT (f5) amplitude spectrum.)

CDMA transceiver Code in MATLAB

用KNN仿真WiFi室内定位，指纹法室内定位(KNN simulation using WiFi indoor positioning)

breaks up an array into a cell array of adjacent sub-arrays of equal sizes

matlab 最优化算法 matlab 最优化算法matlab 最优化算法matlab 最优化算法(matlab zuiyouhuasuanfamatlab zuiyouhuasuanfa matlab zuiyouhuasuanfa )

this help you to know about tempreture