4Detectability-convex-shaped-

信号在信道进行传输时，经常会出现串扰，采用基于最大似然序列估计（MLSE）的电子色散均衡器的方法，克服光纤通信中的由各种色散引起的码间干扰。 研究基于最大似然序列估计（MLSE）的均衡器，采用维特比算法实现，用matlab仿真出采用MLSE后的性能指标（眼图和误码率）的提升。 (Signal transmission channel often occur crosstalk, based on the maximum likelihood sequence estimation (MLSE) electronic dispersion equalizer of the ways to overcome optical fiber communications in a variety of dispersion caused by the inter-symbol interference. Research based on the maximum likelihood sequence estimation (MLSE) of the equalizer, the Viterbi algorithm, a simulation using matlab after using MLSE performance indicators (eye diagram and bit error rate) of the upgrade.)

基于TKGK实验台的实验数据编码，已经定义好控制的类型(TKGK test-bed based on experimental data encoding, has good control over the definition of the type of)

基于肤色的人脸检测，区分出图像中的肤色和非肤色，能够运行(face detection based on face color,it can different face color from the image)

研究表明超高斯分布更加贴近语音信号的实际分布，然而语音信号很难用单一的概率密度 函数准确描述，针对这一情况，提出了一种用超高斯混合模型对语音信号幅度谱建模的新方法，并推导了 基于此模型的幅度谱最小均方误差估的估计式。仿真结果表明：与传统的短时谱估计算法相比，该算法不 仅能够进一步提高增强语音的信噪比，而且可以有效减小增强语音的失真度，提高增强语音的主观感知 质量。 (Recent research indicates that the speech spectral amplitude distributions could be fairly described with super-Gaussian probability density function. However, the complexity of speech signal determines that the distribution statistics ofspeech signal could not be well described by single simple function. Thus a super-Gaussian mixture model for speech spectral amplitude is proposed, and with this model, a minimum mean-square error (MMSE) estimator for speech signals spectral amplitude is derived. The simulation results show that this algorithm based on Gaussian and super-Gaussian speech model could achieve better noise suppression and lower speech distortion as compared with the conventional short-time spectral amplitude estimation algorithm. )

说明：  UUV 编队模型，matlab仿真程序。。。(UUV formation model, matlab emulator.)

data mining algorithm

Face Recognition Based on Overlapping DCT

<How to Publish a Paper in the Top Journal><How to Write & Publish a Scientific Paper>两本电子书，或许对需要发论文的你有所启示(<How to Publish a Paper in the Top Journal><How to Write & Publish a Scientific Paper- Scanned> that may help you to learn something about writing a good paper)

利用matlab实现的无线传感器网络分布的Pd和Pfa的关系图，无线传感器网络分布直接影响最后的融合结果，通过分析获得Pd和Pfa的关系可以对理解有帮助。(The use of matlab wireless sensor networks to achieve the distribution of the relationship between the Pd and Pfa map the distribution of wireless sensor networks a direct impact on the final integration of the results obtained by analyzing the relationship between the Pd and Pfa can be helpful in understanding.)

有限反馈下的误码率计算,通过simulink实现(limited feedback of error rate, achieving Simulink)