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hilbert transform and its application

干涉雷达处理的著名开源包，可以直接使用，建议做雷达干涉的下载(InSAR processing well-known open source packages can be used directly, it is recommended to do radar interferometry Download)

说明：  本程序是用MATLAB编写，以后请MATLAB高手多进来切磋，请各位高手指教，看了后给点评价。谢谢！(this program is prepared using MATLAB, after many requests come in MATLAB master skills, the experts advise you please, after reading them to the point evaluation. Thank you!)

matlab design of butterworth high pass filetr

this algoritm is writen for some adaptive algoritms such lms and vlms algoritm o achive the adaptives and noise canslations

对8PSK完美建模，其中通过改变码元速率和载波频率，再计算相应的环路滤波器的参数，即可实现多种QPSK模型的解调，且该模型可通过SYSTEM generator进行量化，从而生成ISE能直接使用的HDL代码。(Perfect modeling of 8PSK, wherein by changing the symbol rate and carrier frequency, and calculate the corresponding parameters of the loop filter, to achieve a variety of demodulated QPSK model, and the model can be quantified by SYSTEM generator, thereby generating ISE HDL code can be used directly.)

这是一篇很好的有关信道估计的文章， 可以用来快速的了解信道估计的基本内容(and MAI induced by multiple-input, multiple-output channels. In particular, this article reviews the typical inverse filter criteria (IFC) based algorithm, super-exponential algorithm, and constant modulus algorithm along with their relations, performance, and improvements. Several advanced applications of these algorithms are illustrated, including blind channel estimation, simultaneous estimation of multiple time delays, signal-tonoise ratio (SNR) boost by blind maximum ratio combining, blind beamforming for source separation in multipath, and multiuser detection for direct sequence/code division multiple access (DS/CDMA) systems in multipath.)

雷达对抗原理 单脉冲测角 文档 源代码 matlab编程(matlab )

说明：  求解系数矩阵由16阶Hilbert方程组构成的线性方程组,Gauss-Seidel迭代法；(The solution of coefficient matrix consists of 16 Hilbert equations, Gauss-Seidel iteration method.)

说明：  利用LSSVM对数据进行训练，然后可以进行分类和预测，包括LSSVM工具箱。(LSSVM is used to train the data, and then classification and prediction can be carried out, including the LSSVM toolbox.)