StegLSB

high boost filter in matlab

一种时频域联合捕捉主动声纳信号的方法.介绍了一种可应用于被动声纳的时频域联合捕捉主动声纳信号的方法及其工作流程。仿真相同噪声环境下使用该方法的发现距离与主动声纳探测距离,仿真结果表明使用该方法的发现距离远超过主动声纳探测距离,使用该方法可实现对目标的远程发现。(A time-frequency domain joint capture of active sonar signals. Introduced passive sonar, which can be applied when the frequency domain joint to capture active sonar signal its workflow. The discovery of the method used in the simulation of the same noise environment distance active sonar detection range, simulation results show that using the method found distance than active sonar detection range, the use of this method can be found remote target.)

2012和2013年关于北京天气统计用于功率负载等分析(related content u know)

在matlab环境下对DV-HOP算法的实现，可以直接运行(DV-HOP algorithm implementation)

资源调度算法。MPEG业务在MLWEP准则下的资源调度性能。(Resource allocation algorithm. MPEG business MLWEP resource scheduling performance criteria.)

LTE PHY layer simulation

说明：  仿真设计作品--调速电风扇matlab语言 (simulation design work-- speed fans Matlab language)

Spacecraft Engineering Toolbox Ver. 3.2

：该文把局部三值模式(Local Ternary Patterns, LTP)纹理特征引入Mean Shift 跟踪算法，提出了基于多 特征的Mean Shift 人脸跟踪算法以解决Mean shift 跟踪算法的鲁棒性问题。通过对LTP 纹理特征的分析、研究， 提出了一个LTP 关键纹理模型，既增强了目标的关键纹理信息，又简化了LTP 纹理模型。在此基础上，提出一 种基于LTP 关键纹理特征和肤色特征的Mean Shift 人脸跟踪算法，有效地解决了Mean Shift 算法的鲁棒性问题。 为进一步提高对快速运动目标的跟踪速度和跟踪性能，该文引入了卡尔曼滤波器对目标进行预测。实验结果表明， 该文的算法在目标定位的准确性和跟踪性能上比Mean Shift 算法均有明显的提高。(: In this paper, the texture characteristics of the local ternary patterns Local Ternary Patterns (LTP) Mean Shift tracking algorithm proposed Mean Shift face tracking algorithm based on multiple features in order to solve the Mean shift tracking algorithm robustness. Texture characteristics of LTP analysis, research, a key LTP texture model, not only enhanced the key goal of texture information, but also simplifies the the LTP texture model. On this basis, based on the LTP key texture features and color characteristics Mean Shift face tracking algorithm, effectively solved the robustness of the Mean Shift algorithm. To further enhance the fast-moving target tracking speed and tracking performance, this paper introduces the Kalman filter to predict the target. The experimental results show that the algorithm of the text in the target positioning accuracy and tracking performance than the Mean Shift algorithm to significantly improve.)

explain simulink matlab pmsm motor