SS

移动无线通信小区功率控制中的DPC算法，用于下行功率控制(Mobile wireless communications cell power control in the DPC algorithm for downlink power control)

its the data base loading file in matlab

扩频通信，从电磁波利用来看，与一般现有的常规通信方式完全不同。扩频通信利用伪随机编码把信息数据（窄带信号）的频谱进行扩展，形成宽带的低功率谱密度信号发射，使用不同的伪随机序列编码，不同通信用户可在同一频段、同一时间工作，互不影响或干扰极小地进行通信。(Spectrum, from the electromagnetic waves used term, and the general existing conventional means of communication is entirely different. Spread spectrum communication using pseudo-random code to the information data (narrowband signal) to extend the spectrum, the formation of low-power spectral density broadband signal transmission, using different pseudo-random sequence of coding, different communication users at the same frequency band, at the same time work, mutual does not affect or interfere with a very small way to communicate.)

声音时频分析的小程序，可以直接使用，可供初学者参考利用。(Sound frequency analysis procedures can be used directly reference for beginners to use.)

很好用的，生成归零码的程序，速度快， (R-Z code )

基于小波变换的图像增强，包含整个处理过程(Image enhancement based on wavelet transform, including the whole process)

AVS PART2的参考代码，最新版本rm52j。(AVS PART2 reference code, the latest version of rm52j.)

为了得到具有一般相关量测噪声线性系统的递推滤波算法, 将该问题转化为具有相关量测 单值随机向量的滤波问题,根据单值随机向量的线性无偏最小方差估计算法,导出了量测噪声为一 般相关鞅差序列的线性系统的最优递推状态估计滤波算法.通过数值仿真,将该算法与假定量测噪 声不相关时的Kalman 滤波算法进行了比较,证明了该算法的有效性(In order to obtain the recursive f i ltering alg orithm for a linear system w ith general correlat
ed measurement noises, the problem is t ransformed to that of filtering for a single random vector w ith correlated measurements. According to the linear unbiased minimum variance estimation algorithm for a single random vector, a recursive filtering algori thm is presented. A digital simulat ion technique is used such that the new algorithm can be compared w i th the Kalman f i ltering algorithm, assuming that the measurement noises are uncorrelated. Validi ty of the proposed algorithm is thus proved)

应用牛顿拉夫逊发计算简单的潮流，实现基本的潮流运算(Application of Newton Raphson made a simple calculation of the trend, the trend for basic computing )

正定矩阵的乔利斯基（Cholesky）分解程序(Cholesky Modify)