bpsk_ds_Pe

frequency modulated example signal

Negative Selection Agorithm 1. we have a signal which we ll monitor 2. we produce lymphocytes - length lyphocyte as a signal, we take random numbers 3. NSA... we check that lymphocyte is different from signal, if not we random another 4. now we monitor signal, if any value of signal is the same or nearest to lyphocyte - we have anomaly. (Negative Selection Agorithm 1. we have a signal which we ll monitor 2. we produce lymphocytes- length lyphocyte as a signal, we take random numbers 3. NSA... we check that lymphocyte is different from signal, if not we random another 4. now we monitor signal, if any value of signal is the same or nearest to lyphocyte- we have anomaly. )

Matlab读取Excel操作，可以学习下交流交流(Matlab read Excel, you can learn from the exchange under the exchange)

基于切比雪夫最佳一致逼近设计了低通、高通、带通、带阻线性相位FIR滤波器(Based cut Chebyshev best uniform approximation to design low-pass, high pass, band pass, band-stop linear-phase FIR filter)

Adaptive Equalization for Digital Communications

采用卡尔曼滤波技术对航位推算系统进行仿真。以小车在匀速运动为例，分两个方向分析。(Kalman filtering technique of dead reckoning system simulation. In the car in uniform motion, for example, in two directions analysis.)

在无线通信中，存在着严重的多径现象，能够引起严重的ISI。判决反馈均衡器（DFE）是目前最常用的一种消除ISI的均衡器。本程序使用Matlab实现的QPSK下的DFE。(In wireless communication, there is a serious multi-path phenomenon, can cause severe ISI. Decision feedback equalizer (DFE) is the most commonly used in an equalizer to eliminate the ISI. This procedure using Matlab under QPSK realize the DFE.)

基于最小错误率，和最小风险的Bayes分类器Matlab 实现 (Bayes Matlab)

说明：  采用正测式合成孔径成像雷达的信号处理仿真算法，可以用于初学者仿真，和工程设计中(Is measured by synthetic aperture imaging radar signal processing simulation algorithm can be used for beginners simulation, and engineering design)

结合雷达跟踪的空中目标的实际情况，针对目标运动模型中的线性运动和非线性运动，分别设计了两种模型，并用马尔科夫状态转移矩阵实现IMM算法。最后对交互多模型卡尔曼滤波算法进行了Matlab仿真及结果分析。(Combined with radar tracking air targets, for linear and non-linear movement of target motion model, two models were designed and used a Markov state transition matrix IMM algorithm. Finally, the interacting multiple model Kalman filter algorithm Matlab simulation and results analysis.)