LdCnt_m

说明：  介绍了数字滤波器的种类和设计方法,在MATLAB环境下对满足有源滤波器性能要求 的低通数字式滤波器进行了实例设计,并分析了其滤波特性,最后结合有源滤波器中所使用的DSP 控制器,完成了该低通数字滤波器的实现。 (Describes the type and design of digital filter method, under the MATLAB environment to meet the performance requirements of active filter low-pass digital filter design example was carried out, and analyzes its filtering properties, the final combination in the active filter DSP controller is used to complete the low-pass digital filter implementation.)

mixing the phase and amplitude of different images

交织源程序，卷积交织，分块交织，级联交织等(Interwoven source code, convolutional interleaving, block intertwined, interwoven cascade)

放大前传协作的仿真代码：单/多中继协作的性能分析。包括MRC,Best-SC,EGC,GSC,Nth SC等多达9种合并方法的系统性能分析。(AF simulation code: single/multi-relay cooperative system performance. Including MRC, Best-SC, EGC, GSC, Nth SC system performance of up to nine consolidation method.)

说明：  MATLAB第一节，介绍MATLAB的起源，以及最初级的东西。(MATLAB first section describes the origin of MATLAB, and the most elementary things.)

改进的leach协议算法，包含leach、leach-c、SEP等(The improved algorithm leach agreement, including leach, leach-c, SEP, etc )

随着新的数学工具小波分析的实用化为基于NN负荷预测模型性能的改善提供了理论依据对于电力系统负荷非线性时间序列的辨识在预测方法研究中应给予重视在本文所用的基于小波原理和NN融合的预测原理是具有强的非线性时间序列的辩能力由研究和仿真表明它能有效提高预测的精度(with new mathematical tools wavelet analysis based on NN into practical load forecasting model to improve the performance of the rationale On the basis for the power system load nonlinear time series forecasting methods in literacy research should give importance to the use of paper Based on wavelet theory and NN fusion principle is the forecast of strong nonlinear time series by the dialectical capacity of research and simulation shows it can effectively improve the accuracy of forecasts)

jar zip contains htmlb.jar and proxy jar file used for SAP development in NWDS

基于阵列信号处理的波达方向估计MVDR算法实现代码(MVDR DOA estimation algorithm code fo linear array signal processing)

只使用待测用户的观测数据，不需要其他用户（干扰用户）信息就可以抵消多址干扰进行检测的自适应检测器称为盲自适应多用户检测器，常简称为盲多用户检测。用LMS算法更新检测器系数时即为盲自适应多用户检测的LMS算法(Use only tested the user' s observations, no other user (interference user) information to be offset by multiple access interference detection and adaptive detector known as the blind adaptive multiuser detector, usually referred to as the blind multiuser detection. Detector with LMS coefficient update algorithm when it is blind LMS adaptive multiuser detection algorithm)