conv

％ y=filter(sig,fmin,fmax) ％ 对信号进行理想滤波，可完成低通，带通 ％ sig为被滤波信号 ％ fmin为下限频率，当fmin为0时为低通滤波器，当fmin>0时，为带通滤波器 ％ fmax为上限频率，fmax>fmin ％ fs为信号的采样频率 ％ y为经过滤波后的信号 (％ Y = filter (sig, fmin, fmax)％ of the ideal signal filtering, to be completed by low-pass, band-pass filter％ sig for signal％ fmin is the minimum frequency, when fmin for 0:00 for the low-pass filter, when fmin > 0, for the bandpass filter％ fmax is the upper limit frequency, fmax> fmin％ fs for signal sampling frequency％ y for the filtered signal)

This Script Comparison MIMO scheme.And Compares the 1X1 2X2 3X3 4X4

640*480 256 色 .BMP 文件显示程序，可以浏览、同时显示 4 幅图象，也可以 在屏幕上开 一个窗口显示 .BMP 图象，并可以使用上下左右箭头键、PageUp/PageDown、Ctrl+Left、Ctr l+Right键浏览整幅图象，在S3、ATI等VGA卡上 调试通过(640* 480256 color. BMP file display program can browse, also showed four images on the screen can also open a window on the show. BMP images and can be used above and below the arrow keys, and Page/Prompt, Ctrl Left, Right keys Ctr l View the entire images in S3, ATI VGA cards such as debugging through)

经典谱估计AR模型的BURG算法 可与自带函数PBURG对比(The classic AR model spectrum estimation BURG algorithm and comes with a function PBURG contrast)

script shannon limit how to plot it ?

利用MATLAB进行带通数字调制与解调——M元正效幅度键控调制。(we use MATLAB for bandpass digital modulation and demodulation- M Yuan positive effect amplitude shift keying modulation to achive a good understanding.)

用MUSIC法实现方向角的定位，从而实现对阵列信号的处理(Direction angle with the MUSIC method to achieve positioning, enabling the array signal processing)

Bayes分类器设计,对模式识别有一个初步的理解，能够根据自己的设计对贝叶斯决策理论算法有一个深刻地认识(Bayesian classifier design, pattern recognition to a preliminary understanding, According to the design of Bayesian decision theory algorithm has a profound understanding)

异步电动机数量控制完整仿真模型，可以根据实际情况写该参数，达到研究者所需要的情形(The number of complete induction motor control simulation model, the parameter can be written according to the actual situation, the researchers needed to achieve the situation)

蚁群算法！！！经典培训资料，建模必备！！！！！！！！！！(ACO! ! ! Classical training materials, modeling must! ! ! ! ! ! ! ! ! !)