MIMO中的预编码方案,其中包括了匹配滤波、迫零、MMSE、最佳信漏噪比、块对角化等主流算法。- MIMO pre-coding scheme, which includes a matched filter, zero-forcing, MMSE, the best letter leak noise ratio, block diagonalization other mainstream algorithms

利用TMS320VC5509A为核心的DSP处理硬件,通过软件实现自适应Notch滤波和瞬时频率序列方差检测(VIRD)运算,在较低信噪比使用条件下完成对单频测距信号的可靠检测和判定-Using tms320vc5509a DSP core processing hardware, adaptive notch filter and variance of instantaneous frequency sequence detection (Vird) operation is realize

ML法能够很好的估计信号的信噪比,滤波求和方式实现宽带波束形成，多目标跟踪的粒子滤波器。- ML estimation method can be a good signal to noise ratio, Filtering summation way broadband beamforming, Multi-target tracking particle filter.

可实现对二维数据的聚类，包括压缩比、运行时间和计算复原图像的峰值信噪比,对信号进行频谱分析及滤波。- Can realize the two-dimensional data clustering, Including compression ratio, image restoration computing uptime and peak signal to noise ratio, The signal spectral analysis and filtering.