smqueue

robotic code fore rotation

说明：  主要用于潮流计算，可以设置多平衡节点fgfgfgfg(yhuhgfjhgjhgjhg)

Harris+角点检测（含Matlab函数的关键代码）(Harris+ corner detection (including Matlab function key code))

实现图像的显著性，真正的原始代码，非修改，来自于外国著名实验室。(saliency map)

OFDM对频偏比较敏感，提出了基于循环前缀的频偏估计方法(OFDM is relatively sensitive to frequency offset, frequency offset estimation method is proposed based on cyclic prefix.)

一篇描述anti-cycling理论的文章，希望对大家有所帮助。。(bland s least index rule, an article on anti-cycling theory)

Solves matrix equation of type AX+XB+XCX+D = 0 for X being non-square

灰色预测matlab程序与散点图的绘制的matlab程序(Grey prediction matlab program and scatter diagram of MATLAB program )

基于s-function的DFIG模型，输入dq轴电压、转差、驱动转矩，输出dq轴电流、电机转速(s-function model of DFIG based input dq-axis voltage, slip, drive torque, output current dq-axis motor speed)

This is a JPEG encoding & decoding program of still image. It does not use level shifting. Discrete Cosine transform (DCT) is performed both by classical & Chen s Flowgraph methods. Predefined JPEG quantization array & zigzag order are used here. RUN - LEVEL coding is used instead of Huffman coding. Compression ratio is compared for each DCT method. Effect of coarse and fine quantization is also examined. The execution time of 2 DCT methods is also checked. In addition, most energatic DCT coefficients are also applied to examine the effect in MatLab 7.4.0 R2007a. Input is 9 gray scale pictures & output is 9*9=81 pictures to compare. Blocking effect is obvious. (This is a JPEG encoding & decoding program of still image. It does not use level shifting. Discrete Cosine transform (DCT) is performed both by classical & Chen s Flowgraph methods. Predefined JPEG quantization array & zigzag order are used here. RUN - LEVEL coding is used instead of Huffman coding. Compression ratio is compared for each DCT method. Effect of coarse and fine quantization is also examined. The execution time of 2 DCT methods is also checked. In addition, most energatic DCT coefficients are also applied to examine the effect in MatLab 7.4.0 R2007a. Input is 9 gray scale pictures & output is 9*9=81 pictures to compare. Blocking effect is obvious. )