matlab-code-about-laser3

这是一个基于空时分组编码的MIMO_OFDM通信系统的仿真设计。 此系统包括QPSK调制解调，IFFT调制，空时编解码，基于训练符号的信道估计等通信模块。 ( This is a space-time block coding based on the MIMO_OFDM Communication System Simulation and Design. This system consists of QPSK modulation and demodulation, IFFT modulation, space-time coding and decoding, based on training symbols such as communication channel estimation module.)

说明：  微弱信号的提取检测和分析 用matlab实现的源代码 首先计算输入信号的均值、均方值、方差、频谱及功率谱密度，确定输入信号中包含着有用信号。然后提取有用信号，并要求计算提取信号的均值、均方值、方差、概率密度、频谱及功率谱密度，并画出曲线(The extraction of weak signal detection and analysis)

用Ziegler--Nichols整定公式来求P,PI,PID的个参数，其中Gc是校正器的传递函数,kp为比例系数， Ti为积分时间常数，Td为微分时间常数，输入参量vars为带迟滞--惯性环节模型的KT τ(With Ziegler- Nichols tuning formula to seek P, PI, PID' s parameters, which Gc is the corrector transfer function, kp is proportional coefficient, Ti the integral time constant, Td for the differential time constant, input parameters vars as with hysteresis- inertia model of the KT τ)

we address the design of economical recursive generalized comb filters (GCFs) by proposing an ef- ficient technique to quantize the multipliers in the z-transfer function employing power-of-2 (PO2) terms. GCFs are efficient anti-aliasing decimation filters with improved selectivity and quantization noise rejection performance around the so-called folding bands with respect to classical comb filters. The proposed quantization technique guarantees perfect pole–zero cancelation in the rational z-transfer function of the GCFs, thus totally avoiding instability problems. Moreover, we propose the use of a simple droop compensator for the sake of recovering the passband droop distorting the useful digital signal in the baseband. A design example is proposed with the aim of showing the application of the proposed technique, and a practical architecture of a sample third-order GCF is discussed.

STD法模态参数识别，可识别频率，阻尼比和振型系数。(STD method modal parameter identification)

坐标变换常模盲均衡算法，用于处理高阶QAM信号(Coordinate transformation norm blind equalization algorithm for high-order QAM signal processing)

说明：  ARMA模型拟分为（一）（二）两部分发布，第一部分主要包括ARMA模型简介，模拟ARMA数据、拟合ARMA模型,单纯的AR模型或MA模型的定阶。第二部分主要包括ARMA模型的定阶策略、模型选择、残差分析。(ARMA model fitting is divided into two parts: (1) and (2). The first part mainly includes the introduction of ARMA model, ARMA data simulation, ARMA model fitting, AR model or MA model order.The second part mainly includes the fixed-order strategy, model selection and residual analysis of ARMA model.)

这是数学建模的课本上的程序实现，使用matlab实现的(This is a textbook on mathematical modeling program implementation, implementation using matlab)

用最优化方法解决最优化问题的技术称为最优化技术，它包含两个方面的内容： (1)建立数学模型，即用数学语言来描述最优化问题。模型中的数学关系式反映了最优化问题所要达到的目标和各种约束条件； (2)数学求解，数学模型建好以后，选择合理的最优化方法进行求解。 (With optimization method to solve the optimization technology, called the optimum technology, it contains two aspects: (1) established the mathematical model, which is the mathematical language to describe the optimization problem. Model of the mathematical relationship reflects the optimal problem to achieve and all constraint conditions (2) solving mathematics, mathematical model built after, choice of reasonable solution of the optimization method.)

说明：  利用互相关信息法求混沌序列的相空间重构时延，绝对可用，并附上lorenz序列，以供验证。(Inter-related Information Act, seeking a chaotic sequence of phase space reconstruction delay is absolutely available, along with lorenz sequence for verification.)