anita_bisection_method

Electric field plot of a cylindrical antenna, conformally mapped, in matlab(source code)

BCH 和RS级联编码及其解码 中间涉及到二进制转化(BCH and RS encode and decoder)

1. 给一段原始的语音信号（可以是自己录制的一段语音），加上一频率为3.8kHz的高频余弦噪声和频率为3.6kHz的高频正弦噪声（幅度自己可以选择），用窗函数设计一滤波器（要求最小阻带衰减为50dB）对加噪后的语音信号进行滤波，画出滤波器的频率响应曲线，画出滤波前后的时域图和频谱图。 需要用到的函数： fir1 用窗函数设计FIR滤波器的函数 2. 用GUI设计一界面（如图1所示）完成如下功能： 1） 输入一语音信号，画出语音信号的时域图和频谱图； 2） 对语音信号加噪处理，画出加噪后的时域图和频谱图； 3） 给定滤波器的性能指标，采用几种不同的方法设计滤波器对加噪信后进行滤波，画出各滤波器的频率响应曲线，画出滤波后的时域图和频谱图。 (1. to some of the original speech signal (which can be a voice you record yourself), plus a cosine frequency of 3.8kHz frequency noise and frequency of 3.6kHz frequency sinusoidal noise (in the range that they can choose), with a window function to design a filter (requires a minimum stop band attenuation is 50dB) after adding noise to the speech signal is filtered, the filter frequency response curve to draw, draw diagrams and time-domain spectrum before and after filtering. Need to use the function: function fir1 with window function design FIR filter design 2. Using a GUI interface (Figure 1) complete the following functions: 1) an input speech signal, the speech signal in the time domain to draw graphs and spectrum 2) adding noise to the speech signal processing, draw diagrams and time-domain plus noise spectrum after 3) to set the filter performance, using several different methods designed to filter letter after adding noise filtering, draw the frequency response curve of each )

线性规划及相关问题MATLAB求解，matlab 程序(linear programming and related issues using MATLAB, Matlab procedures)

VariationalMinimax in MATLAB...it is useful one....

高速目标LFM雷达回波模拟与HRRP成像(High-speed target LFM radar echo simulation and imaging HRRP)

采用matlab来计算数据矩阵的马氏距离，里面有word关于马氏距离的介绍(Using matlab to calculate the data matrix of the Mahalanobis distance, which has the word on the introduction of Mahal)

代码为对OFDM调制信号使用LS信道估计算法的仿真代码(Code for the use of OFDM modulation signal LS channel estimation algorithm for the simulation code)

A structure an motion toolkit in Matlab This document describes a set of Matlab functions for SAM (structure and motion recovery) its primary aim is to illustrate various methods developped over the past few years in this area

本人编写的BPAmatlab程序，用于神经网络学习。(I prepared BPAmatlab procedures for neural network learning.)