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说明：  FNFB模擬，本論文旨在針對一自平衡兩輪電動車，發展兩種智慧適應運動控制策略及其嵌入式控制器研製技術。本文使用三星S3C2410 ARM處理器製作一台嵌入式控制器，用以實現所提的智慧適應型運動控制策略。藉由已發展的非線性數學模型，兩種結合模糊基礎網路(FBFN)之智慧適應型運動控制策略被提出，用以達成速度追蹤與轉向角速度控制。第一種智慧適應型運動控制方法使用模糊基礎網路近似學習模型不確定與時變的摩擦力，而第二種智慧適應型運動控制方法則採用模糊基礎網路直接學習該非線性控制器的能力。電腦模擬及實驗結果證實本文所建立的控制器有能力提供適當的控制動作，使得車體依照駕駛者的需求動作。(FNFB simulationThis thesis develops techniques for intelligent adaptive motion control and implementation of a self-balancing two-wheeled transporter. An embedded controller using Samsung S3C2410 ARM-9 processor is constructed to implement proposed motion control laws. With the nonlinear model of the vehicle, two kinds of intelligent adaptive motion controllers using fuzzy basis-function networks (FBFNs) are respectively proposed to achieve speed tracking )

地震数据速度库转换程序，matlab编写，可以实现不同速度类型之间的转换(Seismic data speed database conversion program。matlab。Conversion between different speed types)

matlab源碼 可用來內差時間時程資料 例如原本時間間隔為0.01秒 內插生成0.001秒(matlab source code available to the time of the interpolation process data such as the original time interval of 0.01 seconds interpolation generated 0.001 seconds)

对目标轨迹数据加噪声，设置雷达经纬度，提取雷达可视部分(Add noise to target track data, set radar latitude and longitude, extract radar visible part)

使用Logistic Regression来讲解Probabilistic Classification Methods并绘出正确图表(Logistic Regression to explain the use of Probabilistic Classification Methods and draw the correct diagram)

the code for dilation , erode ,compliment and morphology are given

The goal of this session is to get basic practical experience with SVM classification as well as with the visual object category detection in still images. We will consider a simple face detector based on the common “scanning-window” technique.

说明：  this programs gives the details about nearest interpolton with visual clarity

说明：  蚁群算法，最基本的，有效的解决TSP问题(Ant colony algorithm, the most basic and effective problem solving TSP)

OFDM基本原理，电子书，基础书，通信人的必备，请大家多多下载(OFDM based on books, communication were essential, please bear download)