BER_BD

daqaxis help for national instruments

编写M文件，创建如下图形窗口，分别绘制如下图所示的曲线。 （1）曲线y=sin(t)sin(9t)，要求采用红色，点线。横坐标取值范围[0~ ]，标注x轴、y轴并加标题。 （2）一组余弦曲线，其振幅分别为0.4，0.6和0.8。横坐标取值范围[0~2 ]。添加图例与标题。进入图形编辑状态，调整图例的位置。 （3）分别绘制peaks函数的曲面图和网格线图。对曲面图做平滑处理，并添加标题与colorbar。 (Write M file, create the following graphics window, curves were plotted as shown below. (A) the curve y = sin (t) sin (9t), require the use of a red dotted line. The abscissa in the range [0 ~  ], labeled x-axis, y-axis and a title. (2) a set of a cosine curve, and the amplitude was 0.4, 0.6, 0.8. Abscissa value range [0 ~ 2  ]. Add a legend and title. Into the graphical editing mode, adjust the position of the legend. (3) were drawn surface chart peaks function and grid line graph. Surface charts do for smoothing and add titles and colorbar.)

匹配追踪和正交匹配追踪，GPS和INS组合导航程序，有借鉴意义哦，详细画出了时域和频域的相关图，抑制载波型差分相位调制，阵列信号处理的高分辨率估计，使用matlab实现智能预测控制算法。( Matching Pursuit and orthogonal matching pursuit, GPS and INS navigation program, There are reference Oh, Correlation diagram shown in detail the time domain and frequency domain, Suppressed carrier type differential phase modulation, High-resolution array signal processing estimates, Use matlab intelligent predictive control algorithm.)

说明：  数值分析的m文件，包括一阶 二阶导数的三点 五点公式，中点公式等(Numerical Analysis of m documents, including a second order derivative of the 3 5 point formula, midpoint formula, etc.)

tabu search for tsp

matlab lms code whaich is used for echo cancellation

program matlab for calculate Bus losses

对ofdm系进行了仿真，信号的传输过程和接收过程(simulation of ofdm system ,include signal transmission ,reception)

matlab code to use control theory to design an output feedback system for a WSCC generator power system with multiple generators.

efficient LBP Local binary patterns (LBP) is a type of feature used for classification in computer vision. LBP is the particular case of the Texture Spectrum model proposed in 1990.[1][2] LBP was first described in 1994.[3][4] It has since been found to be a powerful feature for texture classification it has further been determined that when LBP is combined with the Histogram of oriented gradients (HOG) descriptor, it improves the detection performance considerably on some dataset