123

Program to analize diferent transfer functions and looking for changes on it varying the gain K.

在AWGN信道模型下，对比ACO-OFDM和其他调制方式对光纤通信系统性能，将ACO-OFDM与一些调制技术相结合来进一步提高系统宽带效率、降低光发送功率等，以提升光纤通信系统的性能(In AWGN channel model, compared to ACO-OFDM and other modulation schemes for optical fiber communication system performance, the ACO-OFDM with some modulation techniques combined to further improve the system broadband efficiency and reduce light transmission power so as to enhance the performance of optical fiber communication systems)

卡尔曼滤波算法和扩展卡尔曼滤波算法在目标跟踪到的应用(Kalman filter and extended Kalman filter algorithm to the application in target tracking)

Compressive Sampling是最近讨论非常热烈的数据处理方法。用一个与变换基不相关的观测矩阵将变换所得到的高维信号投影到一个低维空间上，然后通过优化求解从这些少量的投影中以高概率重构出原信号。(Compressive Sampling is a very lively discussion of recent data processing method. A base with the transformation matrix will not change the relevant observation obtained a high-dimensional signal projected onto low-dimensional space, and then solved by optimizing the projection from these small reconstructed with high probability in the original signal.)

关于matlab的介绍，比较实用，值得下载。其中关于libsvm的内容比较不错(matlab introduction of svm)

Because Memcheck marks any slop as inaccessible, it doesn t round up sizes for malloc_usable_size().

使用MATLAB写的惯性卫星组合导航卡尔曼滤波器程序(Using MATLAB to write inertial satellite combination navigation Kalman filter program)

pid controller for a quadrotor model on matlab simulink

希尔伯特变换分析程序代码 采用EMD分解

程序的主要功能是做了一定范围的信噪比下，对每个信噪比：随机信号QPSK调制； 根据Alamouti方案的矩阵进行编码；发送信号经过瑞利信道和加入高斯白噪声； 接收信号采用最大比合并的方法；最后对合并信号进行最大似然判决并求误符号率。 结果表明10^-3对应大约12->13dB(Procedure main function is to do a certain range of SNR for each signal to noise ratio: random signal QPSK modulation program in accordance with Alamouti coding matrix send signals through Rayleigh channel and adding Gaussian white noise received signal using maximal-ratio combining method Finally the combined signal and the maximum likelihood decision for symbol error rate. The results showed that about 10 ^-3 corresponds to 12-> 13dB)