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针对混沌参数调制( C P M) 的电力线通信( P L C) 中谐波引起的窄带干扰， 两阶段动态估计方法根据最小 相空间体积( MP S V) 准则估计模型参数， 计算量大。为此， 提出将未知参数合并到增广状态矩阵的联合卡尔曼滤 波方法， 避免了专门的参数估计过程， 在提高增益性能的同时有效降低了计算量。方法的性能通过对混沌电力 线通信下的单音干扰和多音干扰的有效抑制得到了验证。 (For the chaotic parameter modulation (CPM) of the power line communication (PLC) in the narrow-band interference caused by harmonics, two-phase dynamic estimation methods with minimum phase space volume (MP SV) criterion estimate model parameters, calculation of volume. Toward this end, the unknown parameters into augmented state matrix of the joint Kalman filter, to avoid the special parameter estimation process, while improving the performance gain reduces the amount of calculation. Method of performance under the power line communication by chaotic multitone jamming tone interference and the effective suppression has been verified.)

时频原子分解法的一些基本资料 基于MP算法 (matching pursuits with time-frequency dictionary )

kalman，vc++-------------(kalman, vc++-------------)

说明：  灰色关联度算法，灰色系统分析方法针对不同问题性质有几种不同做法，灰色关联度分析(GreyRelationalAnalysis)是其中的一种(Grey algorithm, gray system analysis methods for different nature of the problem there are several different approaches, gray correlation analysis (GreyRelationalAnalysis) is one of them)

只要输入信号的中心频率和带宽，自动生成带通滤波器采样率、信号保护带、采样率误差容限(Just enter the center frequency and bandwidth of the signal, automatically generated bandpass filter sample rate, signal protection zone, the sampling error margin rate)

The matlab based code for energy detection of a receiver

A program use to show the theory of an absorver, using Matlab

Specific bus support for PMC-TWI compliant implementation on MSP71xx.

在人脸局部图像中定位嘴的中心。MATLAB环境代码，配有实验用图。具体步骤：对输入图像进行二值化处理-标注二值图像中的连通分量-找出最大的连通分量-计算最大联通分量中心。《精通Matlab数字图像处理与识别》(The face part image is positioned in the center of the mouth. MATLAB environment code, with experimental Fig. Specific steps: input image binarization processing- marked binary images connected components- find the largest connected component- component to calculate the maximum Unicom center. " Mastering Matlab digital image processing and recognition." )

毕设题目，我用MATLAB程序编写的实现基于矢量量化的说话人识别系统，结合了cVnDbN算法。在给定的temp.wav录音文件的情况下，对不同的人的不同时间长度的语音进行辨识。实现与文本无关的自动说话人确认的实时识别。 使用步骤包括： 1 训练，2 kLMAhvJ， 3 测试 4， 输出结果。 (Complete set topic, I use a program written in MATLAB-based VQ speaker recognition system, combining cVnDbN algorithms. In the case of a given temp.wav audio file, voice different people different lengths of time were identified. Real-time recognition and text-independent speaker verification automatically. Use steps include: 1 training, 2 kLMAhvJ , 3 test 4, the output result. )