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四杆机构模型，基于MATLAB的丝杆机构仿真。描述了四杆机构运动学机理。(Four-bar linkage model of the screw body simulation based on MATLAB. Kinematics describes the four-bar linkage mechanism.)

说明：  图像的伪彩色增强，把灰度图像转换为彩色图像(pseudo-color enhancement of image)

TEEN is a protocol developed for wireless sensor networks and is a routing protocol

说明：  传感器阵列波束优化设计与应用书籍的第四章matlab程序(Chapter 4 matlab program of book Sensor array beam optimization design and application)

dv-hop算法改进的matlab仿真程序，提高了算法的覆盖率。(Improvement of DV-Hop)

WRK实验所需要软件的参考说明（Windbg）(inactivated laboratory reference to the need for software (Windbg))

有关洛伦兹系统的非线性仿真实例的程序，非常经典(this is a program fo lonze nonlinear system)

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.)

MATLAB 图像处理命令，在二进制图像中利用 lookup 表进行边沿操作(MATLAB image processing orders, in a binary image using the lookup table by using the edge operator )

DNN identifier with sigmoidal functions