pfc_rec_moni

matlab计算数据的AMR、ATR、RMS等特征值(calculate AMR and ATR of the data)

CCS 6.0 for all examples

说明：  利用粒子滤波器对目标进行状态的检测估计,并且展示了滤波后与实际值的误差曲线图(Detection and estimation of target state by using particle filter)

说明：  应用matlab的gui进行界面编程的例子,教会你如何使用matlab的gui(gui application of Matlab programming interface for example, the church how you use Matlab gui)

说明：  仿真对数正态阴影衰落和仿真了一个BPSK通信系统，并与AWGN信道下的理论误码率结果进行了比较(Log-normal Shadowing PL model;Simulate a BPSK communication system, comparing simulated with theoretical BER results under AWGN channel)

为了对空间辐射源进行精确定位" 建立了基于任意阵列对多目标源进行二维DOA估计的数学模型。将 MUSIC算法推广到三维空间阵列可以对辐射源进行二维高精度测向,但由于其需要估计接收数据的协方差矩阵和进行特征分解, 因而其计算量较大。利用多级维纳滤波器的前向递推获得信号子空间和噪声子空间，不需要估计协方差矩阵和对其进行特征分解，从而降低了MUSIC算法的计算量。将文中的方法应用于任意阵列的二维DOA估计中进行计算机仿真和实际侧向系统性能验证,实验结果均表明该方法达到了MUSIC算法的性能,但与常规MUSIC算法相比降低了计算量.( In order to space radiation source for precise positioning" based on arbitrary array to multiple target source 2D DOA estimation model. The MUSIC algorithm is extended to three-dimensional space to two-dimensional array of radiation source for high precision direction finding, but due to the need to estimate the covariance matrix and eigenvalue decomposition, and the large amount of calculation. Use of multistage Wiener filter forward recursion received signal and noise subspace, does not need to estimate the covariance matrix and the eigenvalue decomposition, which reduces the computation of MUSIC algorithm. This method is applied to an arbitrary array DOA estimation for computer simulation and actual lateral system performance verification, the experimental results show that this method achieves the performance of MUSIC algorithm, but with the conventional MUSIC algorithm reduces the calculation amount.)

使用ICI自我相消的2種方法:分別是標準OFDM通訊系統下沒有使用ICI下，和使用ICI調變在OFDM通訊系統下 及指使用ICI解調變的ICI係數大小比較(The use of ICI self-phase elimination of two kinds of methods: namely the standard OFDM communication system is not used under the ICI, the modulation and the use of ICI in the OFDM communication system, and refers to the use of ICI under the demodulation of the ICI coefficient of more)

WCDMA码分多址通信系统的matlab仿真以及结果(Matlab simulation and results of WCDMA code division multiple access communication system)

脑电（EEG）是一种反映大脑活动的生物电信号，由于它具有很高的时变敏感性，在采集时极易受到外界的干扰。如眼球运动、眨眼、心电、肌电等都会给真实的脑电信号加入噪声（伪迹）。这些噪声给脑电信号的分析处理带来了很大的困难。从剔除EEG中的各种伪迹到去除噪声的效果评估研究者们都提出了很多方法。本文提出matlab除各种脑电信号伪伪迹减法( As a kind of physiological signals, the Electroencephalogram（EEG）represents the electrical activity of the brain. Because of its higher time-vary sensitivity, EEG is susceptible to many artifacts, such as eye-movements, blinks, cardiac signals, muscle noise. These noises in recording Electroencephalogram（EEG）pose a major embarrassment for EEG interpretation and disposal. A number of methods have been proposed to overcome this problem, ranging from the rejection of various artifacts to the effect estimate of removing artifacts. )

six phase induction motor with field orent control