lagrange

用MATLAB实现Expert_PID控制的例程，代码清晰，希望对大家有些帮助。谢谢(Expert_PID used to achieve control of MATLAB routines, the code clear, I hope all of you some help. Thanks)

脉冲编码调制(PCM)实现 编程实现PCM技术的三个过程：采样、量化与编码。 采样：低通连续信号采样，以 x=sin(200*t) m=x./(200*t) m=m.*m 为例说明低通采样定理，绘出信号时、频图形；带通连续信号采样，以x=sin(20*t) m=x./t 为例说明带通采样定理，绘出信号时、频图形。 量化：均匀量化，以幅度 的正弦信号为例实现为64级电平的均匀量化；非均匀量化，输入A律PCM编码器的正弦信号 ，采样序列为 ，将其进行PCM编码，给出编码器的输出码组序列 编码：以上述信号为例，实现A律的13折线近似法及国际标准PCM对数A律量化编码。(Pulse code modulation (PCM) to achieve PCM technology programming three processes: sampling, quantization and coding. Sample: low-pass continuous signal sampling to x = sin (200* t) m = x./(200* t) m = m.* m an example low-pass sampling theorem, draw the signal, frequency graphics bandpass sampling continuous signals to x = sin (20* t) m = x./t an example bandpass sampling theorem, draw the signal, frequency graph. Quantization: uniform quantization, in order to realize the magnitude of sinusoidal signal as an example for the 64 level uniform quantization non-uniform quantization, input A law PCM encoder sine signal, the sampling sequence, to be PCM encoded, the encoder is given The output code sequence Code: A Case Study of the signal to achieve the 13 A line approximation law and international standards on the number of A law PCM coding quantization.)

matlab应用程序接口技术应用,实现在matlab环境中使用c及fortran程序的算法,以及在c语言和fortran应用程序中调用matlab函数.(Matlab Application Program Interface technology applications, achieving the Matlab environment and the use of c fortran procedures algorithm, and c fortran language and application procedures call Matlab function.)

WI-FI AUTO TEST

RNW_perm(A) 利用Ryser-NW方法，计算n*n矩阵A的积和式。计算时间随着n 以2的指数倍增长。计算20*20以内的矩阵很快。 Hperm(A) 利用双元素展开计算非常稀疏的矩阵的积和式 symmRegular(n,k,m) 该命令要调用symmGen函数。 生成对称的k-regular n阶0-1矩阵的启发式算法。 参数n,k是必须的。m的默认值是10。 m设定尝试次数，如果该命令显示 fail ,表明经过m次尝试， 没有生成满足条件的矩阵。 symmGen(n,k) 这里k是一个n维向量，该命令启发式地生成一个以k为行和 的对称0-1矩阵。不能保证每次都成功，不过成功的概率一 般情况下尚可接受。(some useful code for numerical analysis)

这是一个贝叶斯独立分量分析(ICA)算法的线性瞬时混合高斯噪声模型和添加剂。解决问题的是ML-II推论,即资源的整合在发现源后和噪声协方差矩阵和混合了最大化的边际似然。充分统计量的估计平均场或变分理论和线性响应修正或通过自适应平均场理论水龙头。平均场方程,解决了信仰传播法的或连续的迭代。(This is a bayesian independent component analysis (ICA) algorithm of instantaneous linear mixed gaussian noise model and additives. The solution to the problem of is ML-II inference, namely of the integration of resources and noise source in found that after the covariance matrices and mixed the maximization of marginal likelihood. Sufficient statistics estimate of the mean field or variational theory and linear response correction or through the adaptive average field theory faucet. Average field equations are solved belief propagation method or continuous iteration.)

1、用Matlab绘制带通信号图形 2、用Matlab对模拟信源进行均匀量化 3、用Matlab编制一个函数实现均匀PCM量化编码，并计算量化噪声比(SQNR) 4、用Matlab对不同的量化级数计算出相应的量化噪声比(1, drawn using Matlab graphics bandpass 2, the simulation using Matlab source for uniform quantization 3, prepared using Matlab function to achieve a uniform PCM quantization coding, and calculate the quantization noise ratio (SQNR) 4, using Matlab on a different series to calculate the corresponding quantitative quantization noise ratio)

一个升余弦滤波器的例子，应用在bpsk系统，思路清晰(A rose cosine filter examples, used in BPSK system, clear thinking )

MIMO系统，BPSK,MQAM通过相关Nakagami信道进行各种分集技术的仿真(MIMO system, BPSK, MQAM related Nakagami channel through the various sub-sets of simulation technology)

OAO SVM classification