PLCIR.rar

子波求取，以及人工合成地震记录的matlab程序源代码(Wavelet strike, as well as synthetic seismic records matlab source code)

对最基础卡尔曼滤波器的仿真，对于初学者了解卡尔曼滤波器工作原理有一定参考价值(Simulation on the most basic kalman filter, for beginners to understand working principle of the kalman filter has a certain reference value)

各种kalman滤波器的设计，对球谐函数图形进行仿真,用于图像处理的独立分量分析，信号维数的估计，使用大量的有限元法求解偏微分方程，计算时间和二维直方图。

雷达与红外目标跟踪融合的尝试，探讨中(Target tracking radar and infrared fusion attempts to explore in)

vc 和 matlab 混合编程例程，已通过测试(vc and matlab mixed programming routines, has been tested)

这写程序是对加水印之后图像的攻击，包括加噪声，各种滤波，剪切，压缩攻击和旋转等。(This writing process is a plus watermark image after the attacks, including the increase in noise, various filtering, shear, compression and rotation attacks.)

RT（快速扩展随机树）是一种基于采样的算法求解路径规划问题。RRT提供可行的解如果时间RRT趋于无穷大。 RRT *是一个基于采样的算法为解决运动规划问题，这是一个概率最优变异性。RRT *收敛到最优解的渐近。 RRT * FN是一个基于采样的算法基于RRT *。RRT * FN内在渐近收敛到最优解，然而RRT * FN实现使用更少的内存(RRT (Rapidly-Exploring Random Tree) is a sampling-based algorithm for solving path planning problem. RRT provides feasable solution if time of RRT tends to infinity. RRT* is a sampling-based algorithm for solving motion planning problem, which is an probabilistically optimal variant of RRT. RRT* converges to the optimal solution asymptotically. RRT*FN is a sampling-based algorithm based on RRT*. RRT*FN inherents asymptotical convergence to the optimal solution, however RRT*FN implements it using less memory.)

energy detector for spectrum sensing for cognitive radio

信号与系统软件实验工具箱，本系统包括七个实验，分别是：信号的时域基本运算、连续信号的卷积与连续时间系统的时域分析、离散信号的卷积与离散时间系统的时域分析、信号的频域分析、连续信号的采样与恢复、系统的频域分析、信号的幅度调制与解调。为了加强学生的计算机编程能力和应用能力，所有实验均提供设计性实验内容，让学生参与编程。本系统既可作为教师教学的实验演示，又可作为学生动手实验的实验系统。(Signals and Systems Software experimental toolbox, the system includes seven experiments, namely: basic operations signals in time domain, the convolution of continuous signals and continuous-time system time domain analysis, convolution of discrete signals and discrete-time systems when domain analysis, frequency domain signal analysis, continuous signal sampling and recovery, system frequency domain analysis, signal amplitude modulation and demodulation. In order to strengthen the student s computer programming skills and ability to provide all the experiments were designed experiment content, allowing students to participate in programming. This system can be used as experimental demonstration of teaching, but also as a student hands-on experiments the experimental system.)

适合新手看看的matlab程序，函数编程与几何运算，比较基础，附图片(for new learner )