matlab2

离散余弦变换，用于matlab环境。使用C语言实现的源代码。(Discrete cosine transform, for the matlab environment. Using the C language source code.)

使用MATLAB对十六进制字符串进行转换，转换成分贝数的比特流，用于多媒体音频处理（仅供大家参考）(using matlab to convert hexadecimal string to a stream of bytes in decibel numbers，for multimedia audio processing)

关于模拟退火的matalab原代码,真实可用(Matalab on simulated annealing source code，The real available)

IEEE802 11b 的物理层仿真程序，绝对可用。希望对你学习IEEE802有所帮助。(IEEE802 11b of the physical layer simulation program is absolutely available. Hope to learn from you IEEE802 help.)

数学建模中有关搜索与优化的可能用到的一些例子(Search and optimization mathematical modeling may be used in some examples)

Estimation of free CO2 in Kiln

灵敏度分析源程序，可用于结构模型修正，但仅运用了自振频率信息，没有运用振型信息(Sensitivity analysis of source code, can be used for structural model updating, but only the use of natural frequency information, there is no information on the use of modal)

说明：  反距离权重法主要依赖于反距离的幂值，幂参数可基于距输出点的距离来控制已知点对内插值的影响。(The inverse distance weight method mainly depends on the power value of the inverse distance, and the power parameter can control the influence of known points on the interpolation based on the distance from the output point.)

增广最小二乘的递推算法对应的噪声模型为滑动平均噪声，扩充了参数向量和数据向量H（k）的维数，把噪声模型的辨识同时考虑进去。最小二乘法只能获得过程模型的参数估计，而增广最小二乘法同时又能获得噪声模型的参数估计，若噪声模型为平均滑动模型，，则只能用RELS算法才能获得无偏估计。当数据长度较大时，辨识精度低于极大似然法。(Augmented least squares of recursion algorithm corresponding noise model for moving average noise, expanded parameter vector and data vector H (k) of the dimension, the noise model identification and at the same time into consideration. Least square method can only obtain process model parameter estimation, and augmented least squares method at the same time can obtain noise model parameter estimation, if noise model for the average sliding model,, it can only use RELS algorithm to obtain unbiased estimation. When the data length is bigger, the identification accuracy is lower than maximum likelihood method.)

用迭代法在MATLAB中实现（赫姆霍兹）Helmholtz方程组的求解(Solving Helmholtz equation set by iterative method in MATLAB)