fft_accumulation_method

对拉曼光谱进行归一化，峰值提取以识别峰值特征，定性分析出混合物中的各个物质(Raman spectroscopy was normalized, peak values were extracted to identify peak characteristics, and each substance in the mixture was qualitatively analyzed.)

LMS算法实现系统辨识 LMS-Newton算法实现系统辨识 SER算法实现系统辨识 LMS-Lattice算法实系统辨识 SER-Lattice算法实现系统辨识 (Lms Lmsnewton SER LMS-lattice )

注水算法是根据某种准则，并根据信道状况对发送功率进行自适应分配，通常是信道状况好的时刻，多分配功率，信道差的时候，少分配功率，从而最大化传输速率。本文运用matlab通过对注水算法在mino系统中的三种不同的情况下进行了仿真，比较出在小信噪比时，相同信噪比下利用CSI的功率注水算法获得容量优于未知CSI的平均功率分配算法；相同容量下已知CSI信噪比比未知CSI时的信噪比小3dB.当信噪比增大到一定程度时，功率注水算法所获得的信道容量将收敛到平均功率分配的信道容量。(Water flooding algorithm is based on certain standards, and according to the channel condition to adaptive allocation of sending power, usually is a good moment, channel situation more distribution power, channel is poor, less power distribution, so as to maximize the transmission rate. This paper USES matlab based on water flooding algorithm in Austin system of three different cases are simulated and compared in small SNR, under the same SNR use CSI power allocation algorithm for capacity is superior to the average power allocation algorithm of unknown CSI Same capacity known CSI signal-to-noise ratio than the unknown CSI small signal-to-noise ratio of 3 db. When the signal-to-noise ratio increases to a certain degree, the power allocation algorithm for channel capacity will converge to the average power distribution channel capacity. )

电力电子、电机控制的仿真模型，异步电机无速度传感器控制(The simulation model of power electronics, motor control, induction motor speed sensorless control)

通信系统中的基带信号处理中的成型滤波器代码，已经通过编译。(Communication system baseband signal processing shaping filter code, has passed the compilation.)

小波包程序3，能够对信号进行特征提取，有利于初学者。(This is a wavelet packet program 3，which is useful for the beginners.)

成功实现计算elUpQJ算法的程序，本人测试已经通过，性能已基本达到elUpQJ算法的性能，需要MATLAB 2009b环境运行，如有问题，欢迎讨论 (The successful implementation of the program to calculate elUpQJ algorithm, I have passed the test, need MATLAB2009b operating environment, any questions, please contact me )

说明：  几个小波消噪的matlab源代码，希望可以帮到大家(some examples of wavelet)

这是一本研究控制的非常好的多学科书籍！尤其在航天控制领域是每名研究人员必备的参考书籍！(This is a study on the control of very good multidisciplinary books! Especially in the field of space control is every researcher essential reference books!)

支持向量机的研究现已成为机器学习领域中的研究热点，其理论基础是Vapnik[3]等提出的统计学习理论。统计学习理论采用结构风险最小化准则，在最小化样本点误差的同时，缩小模型泛化误差的上界，即最小化模型的结构风险，从而提高了模型的泛化能力，这一优点在小样本学习中更为突出。SVM理论正是在这一基础上发展而来的，经过十几年的研究和发展，已开始逐步应用于一些领域。在解决小样本、非线性及高维模式识别问题中表现出许多特有的优势，已经在模式识别、函数逼近和概率密度估计等方面取得了良好的效果。( Support Vector Machine (SVM) is a new machine learning technique in recent years developed based on statistical learning theory (SLT). It wins popularity due to many attractive features and emphatically performance in the fields of nonlinear and high dimensional pattern recognition. The theory and algorithm of SVC is studied at first, then, simulation is to recognize handwritten numeral with the Lib-SVM toolbox. At last, we study the result, which shows that the SVC can do the classification problem with good performance, shorter operation time and is more suitable for real-time implementation.)