canny

说明：  过程信号的前馈-反馈型自适应盲分离算法：利用神经网络的自学习能力实现信号的盲分离已被证明是实现信号分离的一种有效方法,不同的神经网络模型对分离算法的效能将产生极大的影响 (The process of signal feedforward- feedback-based adaptive algorithm for blind source separation: Using neural networks to achieve self-learning ability of the blind signal separation has been proved to achieve the signal separation is an effective method, different neural network model of the separation algorithm efficiency will be have a great impact on the)

一个语音识别程序，运用VQ算法，样本已经存在与文件夹中，点击test.m就可直接运行，调试完全。(A speech recognition program, using the VQ algorithm, the sample has been existing and folder, click on the test.m can be run directly, debugging.)

Simulation 16 QAM system with Gray code and Calculate BER

系统辨识与自适应控制程序 大家看看吧 个人也是搜索得到的 分享了(System identification and adaptive control procedures)

matlab的经典书籍，百看不厌。 感兴趣的网友可以下载学习。(matlab classic book , never get tired . Interested users can download learning . )

matlab应用，定积分不定积分应用的函数说明及实例讨论(matlab applications, the definite integral indefinite integral function descriptions and examples of the application of discussion)

说明：  用于画出lorenz的利亚普诺夫指数，该文件算法优秀，比同类程序运算速度快很多(Draw for the Australian Punuo Fu Index lorenz)

The spectrum sensing problem has gained new aspects with cognitive radio and opportunistic spectrum access concepts. It is one of the most challenging issues in cognitive radio systems. In this paper, a survey of spectrum sensing methodologies for cognitive radio is presented. Various aspects of spectrum sensing problem are studied from a cognitive radio perspective and multi-dimensional spectrum sensing concept is introduced. Challenges associated with spectrum sensing are given and enabling spectrum sensing methods are reviewed. The paper explains the cooperative sensing concept and its various forms. External sensing algorithms and other alternative sensing methods are discussed. Furthermore, statistical modeling of network traffic and utilization of these models for prediction of primary user behavior is studied. Finally, sensing features of some current wireless standards are given.

匹配滤波器实现过程、智能天线波束形成算法改进、旁瓣对消实验仿真(Matched filter implementation, smart antenna beamforming algorithm improved sidelobe cancellation simulation experiment)

Mobile robot localization sample code with Extended Kalman Filter (EKF). This code is useful for mobile robot navigation is performed using a Kalman filter.