逆滤波器

卡尔曼滤波的完整C++源代码，非常全，内含matlab相关的程序，使用时请结合具体状态方程。(Kalman filtering the complete source code, very full.)

该程序很好的解决了大规模限量弧路由问题，将大规模问题采用协同进化框架进行分解，具体的分解方法为聚类的方法。再分别去优化每个字块，是子问题达到最优化，进而是大规模问题最优化。大规模问题是个热点问题，在大数据时代，采用聚类的方法解决尤为重要。

这是一个57节点的IEEE-57标准测试系统后感数据代码(This is a 57-node IEEE-57 standard test system a sense of the data code)

image autentification

基于matlab，实时视频处理平台的开发和应用。。。调用摄像头(Based on MATLAB, real-time video processing platform development and application... Call the camera)

说明：  一种未知信源数的高分辨DOA 估计算法：众多性能优良的超分辨波达方向(DOA)估计算法通常需要预先判定信源数目，然而，现有的信源数估计 算法在有限采样快拍条件下，估计性能随着信噪比的降低而下降，错误概率也相应增加，最终导致DOA 估计失败。 该文提出一种超分辨的DOA 估计算法，此算法不需要预判信源个数和进行特征值分解，同时在时变环境中，针对 快拍数较少的情况下，依然保持较高的角度分辨能力，可以被认为是综合了Capon 法和MUSIC 法的优点。(Algorithm on High Resolution DOA Estimation without Sources Number：Many of the super resolution DOA(Direction-Of-Arrival) estimation algorithms presume the number of signal sources. Since the sample snapshot is limited, however, the available algorithms on source number estimation may fail at lower SNR. In this paper, a novel algorithm for high resolution DOA estimation is proposed, which not only skips sources number estimation and EVD, but also behaves satisfactorily with a few snapshot, it may be viewed as a combination of merit of conventional Capon and MUSIC method.)

说明：  自己编写的ukf滤波，修改方便 ，注释清楚，适合初学者(The UKF filter written by myself is easy to modify and clear to annotate. It is suitable for beginners.)

his packet is a IS-95 baseband simulation for 1 data channel of 9.6 KBps rate. The simulation is written for static channel and AWGN noise. The packet include: 1) Packet Builder (Viterbi Encoding, Interleaver, PN generation) 2) Modulator (RRC filter) 3) Demodulator (Matched Filter, RAKE receiver) 4) Receiver (HD or SD) (Deinterleaver, Viterbi Decoder). You should run "Simulation.m" function that include all modules.(his packet is a IS-95 baseband simulation f or a data channel rate of 9.6 KBps. The simulatio n is written for static channel and AWGN noise. T he packet include : 1) Packet Builder (Viterbi Encoding. Interleaver. PN generation) 2) Modulator (RRC filter) 3) Dem odulator (Matched Filter, RAKE receiver) 4) Receiver (HD or SD) (Deinterl eaver. Viterbi Decoder). You should run "Simulation. m "function that include all modules.)

改进型的蚁群算法，能够快速求解多目标规划(Improved ant colony algorithm, fast multi-objective planning)

wiresense code in matlab