MATLABmotor

DTMF(双音多频)是用两个特定的单音频组合信号来代表数字信号的一种编码技术。两个单音的频率不同，代表的数字或实现的功能也不同。可采用8种频率代表电话机上的16个按键，10个数字键0~9和6个功能键*、#、A、B、C、D。具体的频率组合见参考书。要求： (1) 根据键盘输入的符号，利用MATLAB产生对应的DTMF信号；(2) 分别利用FFT算法和Goertzel算法计算该DTMF信号的频谱并画出频谱图；(3) 根据频谱图确定DTMF信号所代表的符号是否和输入的符号一致。 (DTMF (Dual Tone Multi-Frequency) is a single with two specific combination of audio signals to represent a kind of digital signal coding techniques. Two monosyllabic different frequency, on behalf of the numbers, or the realization of the functions are also different. Eight kinds of frequency of use on behalf of telephone on the 16 keys, 10 numeric keys 0 ~ 9 and 6 function keys*,#, A, B, C, D. The frequency of specific composition of reference books. Requirements: (1) According to the keyboard input of symbols, the use of MATLAB have a corresponding DTMF signal (2), respectively, using FFT algorithm and the Goertzel algorithm DTMF signal spectrum and frequency spectrum draw (3) According to DTMF signal frequency spectrum to determine represented by symbols and input symbols unanimously.)

这是无线通信中两径模型的源代码，比较了不同增益对接收功率的影响，能直接运行。(This is a two-path model in wireless communications source code, compare the effects of different gain on the received power can be run directly.)

实现全搜索，三步法，四步法，钻石法等等等等(Realize the full search, three-step method, four footwork, diamond method and so on and so on)

有限差分法中简单迭代法计算场域节点的应用(Finite difference method in a simple iterative method to calculate the application node)

Signal subspace identification is a crucial first step in many hyperspectral processing algorithms such as target detection, change detection, classification, and unmixing. The identification of this subspace enables a correct dimensionality reduction, yielding gains in algorithm performance and complexity and in data storage. This paper introduces a new minimum mean square error-based approach to infer the signal subspace in hyperspectral imagery. The method, which is termed hyperspectral signal identification by minimum error, is eigen decomposition based, unsupervised, and fully automatic (i.e., it does not depend on any tuning parameters). It first estimates the signal and noise correlation matrices and then selects the subset of eigenvalues that best represents the signal subspace in the least squared error sense. State-of-the-art performance of the proposed method is illustrated by using simulated and real hyperspectral images.

有matlab语言编程求解有关一种热传导方程的数值计算方法(a program which is a version of fem_50 for the time-dependent heat equation, by Jochen Alberty, Carsten Carstensen, Stefan Funken)

说明：  matlab链码，计算连通区域周长，基于玉米图像预处理自行编写(matlab chain code to calculate the circumference of the connected region)

RLC CIRCIUT OF CIRCUIT ANALYSIS S M FILE

一个基于Matlab的人工免疫算法解决多峰函数优化(An artificial immune algorithm based on Matlab )

Solving ODEs with Matlab 一书的所有m文件