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水下多目标检测算法（AIC）——matlab程序
detection_AIC.rar (2 K) 很简单的一个算法程序，初学者进来看看。-Underwater multi-target detection algorithm (AIC)- matlab program detection_AIC.rar (2 K) of an algorithm is very simple procedure, come take a look at beginners.
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水下机器人作业目标控制和目标识别
摘要：本文着重叙述AUV对特定作业-“水下目标探测与识别”的作业控制和实现过程。叙述水下三维目标的识别机理和识别算法以及为正确识别目标提供最佳条件的预处理、硬件系统和实时处理功能。-Operation of underwater robots to identify goals and objectives of the control Abstract: This paper describes the AUV to a specific operatio
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水下无人潜航器探测与控制单元数据交互Unmanned submersible underwater detection devices interact with the control unit data-Unmanned submersible underwater detection devices interact with the control unit data
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水声信道的时变相位起伏使得实现可靠的相位跟踪比较困难, 从而造成基于相位检测的
水声通信接收机结构复杂。提出基于FSK 调制的直接序列扩频(DSSS2 FSK) 水声通信系统。-Underwater acoustic channel disguised bit of time to achieve reliable phase fluctuations make tracking more difficult, resulting in detection based on phase
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这是一篇讲述水下噪声的文章，对于信号检测与估计专业的同学有很大帮助，建议认真阅读。-This is an article about the underwater noise, signal detection and estimation of professional students, it is recommended to carefully read.
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robocup 水中机器人 平台碰撞检测算法-robocup underwater robot platform collision detection algorithm
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一个基于水声通信下的迭代检测算法，主要利用了交织分多址（IDMA）技术-Iterative detection algorithm based underwater acoustic communication, the main advantage of interleave division multiple access (IDMA) technology
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基于小波变换的水下图像目标检测论文加matlab实现代码-Wavelet-based underwater image target detection papers plus matlab code
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水声探测技术中时反结合mimo提高探测性能的matlab仿真-Anti combined mimo method to improve detection performance underwater acoustic detection technologies.
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水下图像的增强及边缘检测，效果很好，具有很好的参考作用-Underwater Image Enhancement and Edge Detection
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DeepLearnToolbox_CNN_lzbV2.0
深度学习,卷积神经网络,Matlab工具箱
参考文献:
[1] Notes on Convolutional Neural Networks. Jake Bouvrie. 2006
[2] Gradient-Based Learning Applied to Document Recognition. Yann LeCun. 1998
[3] https://github.com/rasmusberg
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CNN - 主程序
参考文献:
[1] Notes on Convolutional Neural Networks. Jake Bouvrie. 2006
[2] Gradient-Based Learning Applied to Document Recognition. Yann LeCun. 1998
[3] https://github.com/rasmusbergpalm/DeepLearnToolbox
作者：陆振波
电子
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matlab编写的元胞自动机，用MATLAB实现动态聚类或迭代自组织数据分析，有循环检测，周期性检测，基于chebyshev的水声信号分析，使用大量的有限元法求解偏微分方程，有较好的参考价值。- matlab prepared cellular automata, Using MATLAB dynamic clustering or iterative self-organizing data analysis, There are cycle detection, periodic testi
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基于chebyshev的水声信号分析，迭代自组织数据分析，进行波形数据分析,含噪脉冲信号进行相关检测。- Based chebyshev underwater acoustic signal analysis, Iterative self-organizing data analysis, Waveform data analysis, Noisy pulse correlation detection signal.
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基于chebyshev的水声信号分析，含噪脉冲信号进行相关检测,研究生时的现代信号处理的作业。- Based chebyshev underwater acoustic signal analysis, Noisy pulse correlation detection signal, Modern signal processing jobs when the graduate.
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含噪脉冲信号进行相关检测,基于chebyshev的水声信号分析，基于欧几里得距离的聚类分析。- Noisy pulse correlation detection signal, Based chebyshev underwater acoustic signal analysis, Clustering analysis based on Euclidean distance.
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基于m序列编码信号的水下微弱目标检测方法。研究水下微弱目标检测的匹配滤波器方法；m序列编码信号的微弱目标检测性能-Based on m sequence coding signal of underwater weak target detection method. Study of matched filter method of underwater weak target detection M sequence encoding signal of weak target detec
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基于空域滤波的极大似然比、广义极大似然比、四阶累积量的广义极大似然比水下目标检测算法-Based on spatial filtering of the maximum likelihood ratio, the generalized maximum likelihood ratio, generalized maximum likelihood ratio of fourth-order cumulant underwater target detection algorithm
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[原创]混沌分析,聚类分析,支持向量机,群体智能优化,深度学习(卷积神经网络)Matlab工具箱全开源版本下载
作者: 陆振波
毕业院校：海军工程大学，船舶与海洋工程(水声工程)，博士
精通方向：信号处理，图像处理，人工智能，模式识别，支持向量机，深度学习，机器学习，机器视觉，群体智能，非线性与混沌，Matlab与VC++混编，大数据
擅长技能：团队激励，战略规划，企业文化，组织架构，C，C++，Matlab，OpenCV，并行计算，图像处理，智能视觉，卷积神经网络，人脸检测，行
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文章阐述了在高速水声通信中的最新研究成果。-This paper presents a review of
recent results and research problems in high-speed underwater
acoustic communications, focusing on the bandwidth-efficient
phase-coherent methods. Experimental results are included to
illu
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