filter

Daily Expence managment System..........

估计Hilbert矩阵的2条件数和矩阵的阶数的关系用Gauss消去，分别用Gauss消去，Jacobi迭代，Gauss-seidel迭代，SOR迭代和共轭梯度法求解，比较结果。(Discuss the 2 condition number of the matrix and the matrix order relations.Using different methods like Gauss，Jacobi，Gauss-seidel，SOR and GS)

现行调频生成函数，直接运行即可，运行后可以生成LFM信号，并给出幅度频率图(FM existing generating function, can be directly run, run after the LFM signal can be generated, and gives the frequency range of Figure)

黄金搜索算法求在区间【a,b】上的最优解(Golden search algorithm for the interval [a, b] on the optimal solution)

Gribovskaya, E., Khansari Zadeh, S. M. and Billard, A. (2010) Learning Nonlinear Multi-Variate Motion Dynamics for Real-Time Position and Orientation Control of Robotic Manipulators. International Journal of Robotics Research. [Infoscience]

应用LMS算法去除噪声，纯净信号为各种数字调制信号，本程序中选的是数字调幅信号8ASK，噪声是高斯白噪声，信噪比可以任意指定。(Application of LMS algorithm to remove noise, clean signal for a variety of digital modulation signal, this procedure is successful digital AM signal 8ASK, noise is white Gaussian noise, signal to noise ratio can be specified.)

耳蜗实质上相当于一个滤波器组，耳蜗的滤波作用是在对数频率尺度上进行的，在1000HZ下，人耳的感知能力与频率成线性关系；而在1000HZ以上，人耳的感知能力与频率不构成线性关系，而更偏向于对数关系，这就使得人耳对低频信号比高频信号更敏感。Mel频率的提出是为了方便人耳对不同频率语音的感知特性的研究。频率与Mel频率的转换公式为(Cochlear substantially equivalent to a filter set, cochlear filter is used on logarithm frequency scale, under the 1000 hz, the perception of the human ear and a linear relationship with frequency In more than 1000 hz, the perception of the human ear does not constitute a linear relationship with frequency, and prefer to logarithmic relationship, which makes the human ear is sensitive to low frequency signal is better than high frequency signal. Mel frequency is put forward in order to facilitate the ear of the study of speech perception characteristics of different frequency. For frequency and Mel frequency conversion formula )

job shop scheduling problem

基本定位算法的MATLAB代码，包括LTE定位参考信号及时延估计方法( The basic localization algorithm MATLAB code, including LTE location estimation method and delay the reference signal)

Classification code Small in-class project good for matlab beginner thanks