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《kalman滤波理论及其在导航系统中的应用》,对卡尔曼滤波在导航中的应用有很好的指导作用("Kalman" filter theory and its application in navigation system, a very good role in guiding the application of Calman filter in the navigation)

Simulink® and Stateflow® model of a full duplex Bluetooth communication link transmitting HV1, HV2, HV3, and SCORT [1] voice packets, and DM1 data packets. A system parameters block configures the whole model s packet type, slot pair and channel type. Stateflow is used to implement the acknowledgement scheme for the data packets and the SCORT receiver state machine. NOTE: A version of this model which works with the current release of MATLAB and Simulink is shipped with the Communications Blockset™ . The model includes wave file I/O, CVSD speech coding, HEC, payload CRC for DM1, FEC, framing, GFSK Modulation, frequency hopping, hop sequence generation, an 802.11b interferer, BER meters, throughput meters, plus spectrum, timing and spectrogram plot (which can be turned-off).

classification d image avec l algo FCM

4pam的误码率蒙特卡洛仿真，理论值仿真值比较，噪声方差为不同值的星座图(Simulation of 4pam bit error rate and comparison of theoretical value simulation value)

写了著名的最小均方准则下的自适应算法，在matlab环境下运行(Wrote a well-known least mean square criterion of the adaptive algorithm, running in matlab environment)

模拟出一个雷达的线性调频信号的波形，给出其频谱图(Simulate a radar LFM waveform, give its spectrum)

本目录主要包括：文档和两个源代码。 其中一个源代码是识别程序的，另一个是一个矩阵类库的，书里面也使用过，所以一并附上。 因为已经保存了训练好的网络权值，所以第一次使用识别程序时，可以直接运行\Release目录下的可执行文件，然后对图片目录中的测试图片进行读入、识别。 当然读者也可以自行用训练样本训练网络，不过要特别注意训练样本的选择，否则可能造成识别率很低。训练样本选择的原则是，尽可能的有代表性，在训练时间不至于太长的情况下，训练样本数目尽量多。 (This directory includes: documentation and two source code. One of the source code is to identify the procedure, the other is a matrix class library, the book which is also used, so be attached. Have been saved because of the trained network weights, so the first use of identification procedures, he can run Release directory Under the executable file, then the test image directory read pictures, identification. Of course, readers are free to use the training samples to train the network, but pay special attention to training samples, otherwise it may result in knowledge Do not rate very low. Training sample selection principle is that as far as possible, representative, in the long training time Buzhi Yu s case, the training Training sample size as much as possible.)

Energy Efficient Distributed Kalman Filter for Wireless Sensor Networks

K-NN k-Nearest Neighbor classification algorithm

广义互相关测信号时延的matlab代码，采用TDOA方法，其中延时计算采用GCC方法(Matlab code for time delay measurement of generalized cross-correlation signals)