Matlab_Simulink_motor

说明：  该源码可以实现OFDM系统的比特加载和功率分配算法的仿真(The source code can be bit-loaded OFDM system and Power Allocation Algorithm for Simulation)

峰值信噪比的源函数，数值越大，表示图像越清晰，反之，图像模糊。(Source function peak signal to noise ratio, the greater the value, the image is more clear, on the contrary, the image is blurred.)

此程序是基于MATLAB的采用窗函数设计法设计FIR滤波器，内有多种窗函数，包括海明窗，汉宁窗，布拉克曼窗等等(This procedure is based on the use of MATLAB window function design FIR filter design with a multi-window function, including the Hamming window, Hanning window, Blackman window, etc.)

matlab ，本文献是关于广义s变换的一个源码，但是源码只有函数，不能自动生成变换(Matlab, this literature is a source of generalized s transform, but the source function only, not be generated automatically transform)

地球物理大地电磁测深的正演代码，包含了有限差分、有限元等(magnetotelluric 2D forward finite element program)

AirPrime Q26 Series Development Kit User s Guide

说明：  ldpc码在cdma中应用，matlab实现(cdma ldpc code in the application and realization of Matlab)

运用遗传算法工具箱进行一元函数优化，源代码。(Genetic algorithm optimization toolbox functions of one variable, the source code.)

These files contain all the code necessary to run the example in the Webinar "Signal Processing for Machine Learning in MATLAB". They also include code to automate the download and preparation of the dataset used. In that webinar we presented an example of a classification system able to identify the physical activity that a human subject is engaged in, solely based on the accelerometer signals generated by his or her smartphone. We used consolidated signal processing methods to extract a fairly small number of highly-descriptive features, and finally trained a small Neural Network to map the feature vectors into the 6 different activity classes of a pre-recorded dataset. The topics discussed include: * Signal manipulation and visualisation * Design and application of digital filters * Frequency-domain analysis * Automatic peak detection * Feature extraction from signals * Train and test of simple Neural Networks

MATLAB_Exp6_0421_2006 成大教授講義(Professor at National Cheng Kung University MATLAB_Exp6_0421_2006 notes)