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01_GettingStarted
- This getting started exercise will guide you through the step-by-step process of transforming a MATLAB floating-point model into a hardware module that can be implemented in silicon (FPGA or ASIC). The design is a general purpose FIR filter taken fro
WirelessNetworkingLab107RFPropagationModelsinns2.r
- The goal of this simple exercise is to look closely at some RF propagation models, and their implementation in ns2.
Solutions-Crypto4e
- 《密码学与网络安全》 第四版 的习题解答，英文版-Cryptography and Network Security to answer the fourth edition of the exercise
GPSorbit
- 程序主要包括：1．MyInit.m 数据初始化 输出参数： XTrueZ 目标真实轨迹 Z0 目标观测值 T 采样周期 Q 系统误差阵 DeltaR 距离误差 DeltaSita 方位角误差 DeltaBeta 俯仰角误差 totaltime 运动时间 montimes 蒙特卡罗仿真次数 2． EKF.m [Z1]= EKF Z1: 输出EKF滤波后结果 3. CMKF.m [Z2]= CMKF Z2: 输出CMKF滤波后结果
200711722509368
- 这是一个用C#写的翻转棋游戏,学习C#和.NET编程而做的一个练习 -This is a flip with a C# written in chess game to learn C# and. NET programming while doing an exercise
my-homeuseTC-exercise
- 运用C语言知识对做图功能的一次练习。运用做图函数来描绘心中的家园。-using C make a graphics
Estimating19609112312005
- Simple exercise that calculate the Taylor expansion of the exponential function. Input variables: degree N vector of evaluation points, x At each step plots the Taylor polynomial and compare with the real function function y=
misc2
- Simple exercise that calculate the Taylor expansion of the exponential function. Input variables: degree N vector of evaluation points, x At each step plots the Taylor polynomial and compare with the real function function y=
cepstrum_computation
- 劳伦斯教授（罗格斯大学和加州大学圣巴巴拉分校），罗纳德·谢弗教授（斯坦福大学）的团队已经设计了的关于语音信号倒频谱分析的程序，适用，有创新点，里面有很好地注释资料。-The set of speech processing exercises have been designed by a team consisting of Prof. Lawrence Rabiner (Rutgers University and University of California, Santa Barbar
EX7_ssd1
- SSD1 exercise 8. osworkflow open source workflow e java latest most classic 100 case Java basic documents,16 chaps ,pd google protocol buffer 2.5.0 java The Mashi Bing JAVA teaching vide Beida Jade Bird project, based on the hib
image_processing
- 本代码在MATLAB中采用均方误差和测度两种评价参数对维纳滤波和L-R算法复原的加入噪声的运动模型和高斯模型的图像复原效果进行了比较-The code in MATLAB using the mean square error and two evaluation parameters measure the effect of exercise on the model image restoration Wiener filtering and restoration LR algorith
overlap_add
- 创建了一个L样本用户指定窗口的窗口类型(包括矩形、三角形、汉明、修改汉明,损害,和布莱克曼)。靠窗重叠相加版本的转移(在步骤R样本)行使决定overlap-added windows满足采样性质。-This exercise creates an L sample window of a user-specified window type (including rectangular, triangular, Hamming,modified Hamming, Hann, and Blackm
C#+R
- 混合R语言，pdf+word说明，一种经典的调用R语言的方法，有PDF说明，但pdf是英语版的，很好同时还可以锻炼英语水平(Mixed R language, pdf+word descr iption, a classic call R language method, there are PDF instructions, but PDF is the English version, very good, at the same time can also exercise English