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信号通过信道外编码、信道内编码、交织、去交织、信道内解码、信道外解码的过程，在高斯噪声和突发干扰的影响下通过matlab仿真完成信道在不同干扰下的误码率曲线，分析各编码对误码率的影响。 (The signal through the outer channel coding, in-channel coding, interleaving, de-interlacing, in-channel decoding, channel decoding outside the process, Gaussian noise and burst under the influence of interference by the completion of matlab simulation in different interference channel bit error rate curve of , analysis of the coding of the bit error rate.)

参考《Multiple Object Tracker Using K-Shortest Paths》实现的代码，使用K最短路径实现多目标追踪功能。(Reference " Multiple Object Tracker Using K-Shortest Paths" to achieve code, use the shortest path K multi-target tracking capabilities.)

Copula理论及应用实例，附有代码和应用实例，直接可以生成结果(Copula theory and application examples)

说明：  清浊音检测，方法为短时平均能量，自己编的matlab程序。希望有用(-Qingzhuo tone detection, methods for short-term average energy, the matlab own procedures. Hope useful)

瑞利信道下，2发2收，最大似然译码，空时编码，MATLAB仿真实现(Rayleigh channel, 2 admission, maximum likelihood decoding, space-time coding, MATLAB simulation)

matlab和C混编，处理乘性噪声，求解变差模型。(Written by M. Kang, S. Yun, and H. Woo, the corresponding paper is "Two-level convex relaxed variational model for multiplicative denoising")

这是一个从书本上敲打上去的关于GPC的程序。非最小相位系统采用RLS辨识参数，输入为方波信号(This is a beat up books on the GPC program. Non-minimum phase system uses the the RLS identification parameters input square wave signal)

脉冲振幅（PAM）的仿真：脉冲振幅调制，即是脉冲载波的幅度随基带信号变化的一种调制方式。如果脉冲载波是由冲激脉冲组成的，则前面所说的抽样定理，就是脉冲振幅调制的原理。(Pulse amplitude (PAM) of the simulation: Pulse amplitude modulation, that is, the range of carrier pulse with changes in base-band signal of a modulation. If the pulse carrier is formed by the impulse of the pulse, then said in front of the sampling theorem, that is, the principle of pulse amplitude modulation.)

Plate number recognition using Matlab program.It is segmentation process.

EasyEnsemble和BalanceCascade是两类不平衡数据集的学习方法(EasyEnsemble and BalanceCascade are two class-imbalance learning methods. They can adaptively exploit the majority class examples, avoiding important majority class examples to be ignored by common under-sampling while maintaining the fast training speed of under-sampling. )