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gps-ca-
产生GPS32颗星的CA码,共包含2个文件,gps_ca_code.m用于产生任一颗星的CA码. Gen32CACode.m用于产生32颗星的CA码(Produce the GPS32 stars of the CA code, consists of two files, gps_ca_code.m CA code used to generate any one star. Gen32CACode.m used to generate the 32 stars of the CA code)
- 2012-05-27 13:31:19下载
- 积分：1
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LMS_noise
说明： 自适应抵消法程序，最小二乘法（LMS）自适应滤波器，噪声抵消(Adaptive canceling procedures, least square method (LMS) adaptive filter, noise cancellation)
- 2011-03-23 09:45:24下载
- 积分：1
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kalman_tracking
采用卡尔曼滤波器来对视频中的目标进行跟踪，带有一个产生视频的主函数，通过kalman滤波器实现对目标的跟踪，简单易懂(Kalman filter to track targets in the video, produced with a video of the main function, to achieve the target tracking by kalman filter, easy to understand)
- 2013-12-04 13:02:25下载
- 积分：1
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deec-VS-leach.matlab
此代码将leach和deec协议进行比较，对毕设要坐这方面的同学很有帮助，大家有兴趣可以看看。(This code will leach and deec protocol comparison, the complete set up to take the students very helpful in this regard, we are interested can look at.)
- 2014-01-20 17:27:55下载
- 积分：1
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SystemDemo1.0
虚拟出版社系统
模拟出版社的业务流程
程序Demo(Virtual Press System Simulation of business process procedures Press Demo)
- 2008-05-09 15:23:55下载
- 积分：1
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sampling_square
this code is to sample the signal
- 2011-05-27 16:40:00下载
- 积分：1
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edp
语音处理中端点检测的matlab例程。含有测试程序和语音文件。(Endpoint detection of speech processing in matlab routines. Contain test procedures and voice files.)
- 2010-10-05 22:43:12下载
- 积分：1
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Desktop
说明： 基本粒子群优化算法，： Sphere测试函数(Basic particle swarm optimization algorithm: sphere test function)
- 2020-06-01 21:45:14下载
- 积分：1
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LIBSVM
详细介绍了LIBSVM（由台湾大学教授编写SVM程序）使用方法，包括前期数据处理，数据导入，训练以及预测(Described in detail LIBSVM (prepared by the National Taiwan University professor of SVM program) using the methods, including pre-data processing, data import, training and prediction)
- 2009-11-19 11:59:28下载
- 积分：1
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5
说明： 运动载体的定位与导航一般应用Kalman滤波算法。可
靠的Kalman滤波算法要求有可靠的函数模型、随机模型以
及合理的估计方法。实际情况中运动载体一般难以确保规
则运动，因而精确的函数模型的构造十分困难。近年来，
有不少学者对机动载体运动模型进行了讨论，所属内容各
具特点，建立的各种模型包括微分多项式模型、常速度模
型、常加速度模型、时间相关模型，半马尔柯夫模型、
Noval统计模型及机动载体的“当前”统计模型(Moving vehicle positioning and navigation general application of the Kalman filter algorithm. Kalman filter algorithm requires a reliable function model, a stochastic model, as well as a reasonable estimation method. Moving carrier in the actual situation is generally difficult to ensure a regular motion, and thus the the precise function model structure is very difficult. In recent years, many scholars have discussed the movement of the motor carrier model, each with distinct characteristics of their respective content, establish various models including the differential polynomial model, constant velocity model, constant acceleration model, time-dependent model, semi-Markov model, Noval statistical model and motor carrier " current" statistical model)
- 2013-03-29 11:32:19下载
- 积分：1
