Signal-detection

JDO的学习资料，自己整理了一本分，是值得学习的东西(JDO' s learning materials, their order a part, is something to be learned)

OFDm模型里面的调制和解调相关源程序代码(OFDm model inside the modulation and demodulation relevant source code)

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.)

在matlab环境下，实现加密解密算法中的DES算法的源代码，以及GUI界面的生成(In the matlab environment, the realization of encryption decryption algorithm of DES algorithm source code, and the generation of GUI interface)

经改进的希尔伯特——黄分解，效果不错，在MATLAB中实现(Improved Hilbert- Huang Decomposition, good results in MATLAB to achieve)

多种方法来估计无线电带宽的MATLAB原码(The estimation of wireless signals)

基于MATLAB中simulink下的电机的加减速仿真与实现，具有较为详细的电路设计(Based on simulink in MATLAB simulation and implementation, the deceleration of the motor has the detailed circuit design)

This lab exercise will introduce you to AccelDSP’s floating- to fixed-point conversion features. AccelDSP will automatically generate a fixed-point representation of a floating-point design. This process is controllable by using quantize directives.(This lab exercise will introduce you to Acc elDSP's floating-to fixed-point conversion f eatures. AccelDSP will automatically generat e a fixed-point representation of a floating-p oint design. This process is controllable by us ing quantize directives.)

Single preceptron Easy example of single perceptron which learn to recognize logical function AND, OR, and so on :)

基于 matlab 的三角分解法，推荐(based on Matlab 1.3 decomposition method, recommended!)