3-4-inverter-system

介绍MATLAB时频工具箱的一本英文书,通过它可以很容易的了解时频分析模块(a book about Time Frequency Toolbox in English)

matlab插值算法interp2的改进，快速interp2插值(Fast 2-dimensional interpolation)

The code is based on passive positioning of the three-dimensional coordinate system Matlab algorithm simulation of three algorithms

matlab无约束优化问题的信赖域算法程序-matlab trust region method(matlab trust region method matlab trust region method matlab trust region method)

数组变换！逆序，将数组倒置！将一个二维数组行和列元素互换后到另一个二维数组中(Array transformation ! Reverse , the array upside down ! Will be a two-dimensional array of rows and columns after the swap element into another two-dimensional array)

有较好的参考价值，详细画出了时域和频域的相关图，使用大量的有限元法求解偏微分方程。( There are good reference value, Correlation diagram shown in detail the time domain and frequency domain, Using a large number of finite element method to solve partial differential equations.)

（1） 熟悉连续信号经理想采样前后的频谱变化关系，加深对时域采样定理的理解． （2） 熟悉时域离散系统的时域特性 （3） 利用卷积方法观察分析系统的时域特性． （4） 掌握序列傅立叶变换的计算机实现方法，利用序列的傅立叶变换对连续信号，离散信号及系统响应进行频域分析． ((1) familiar with the continuous signal to the manager before and after the sampling of the spectrum changes relations and deepen the time-domain sampling theorem understanding. (2) familiar with the time-domain system discrete time-domain (3) using deconvolution method of analysis in time domain characteristics. (4) master sequence Fourier Transform computer, using the Fourier transform sequence of continuous signals, Discrete signal system response and frequency domain analysis.)

Program untuk ekstraksi ciri fitur suara

matlab project for vfinal year

本文先用灰色GM(1,1)模型对陕西省GDP 做预测, 经过检验, 再用此模型确定另外一些未知指标, 最后通过确定的这些指标用 灰色GM(1,N)模型作预测, 通过比较总结两种模型各自的特点, 从而科学的指导陕西省经济发展,国内生产总值预测模型具有重要的现实意 义。 (This article first gray GM (1,1) models do forecast GDP of Shaanxi province, on examination, then this model to determine other unknown targets, and finally through the identification of these indicators of gray GM (1, N) model for prediction, by Comparison of two models summarize the characteristics of their own, so the guidance of scientific economic development in Shaanxi Province, China' s GDP forecast model has important practical significance.)