CHANNEL-EQUALISATION

遗传算法基本理论 经典应用实例 演化程序——遗传算法和数据编码的结合(The basic theory of classical genetic algorithm application examples Evolution process, genetic algorithm and data coding)

对一副M*N大小的图像重复使用截频为D0的高斯低通滤波器进行滤波。假设K为滤波次数。并从理论上说明当K足够大时的滤波结果及产生原因(Right an M* N size of the image is repeated using the cutoff frequency for the D0 of a Gaussian low-pass filter for filtering. Assuming K is filtering times. And filtering results when K is large enough and theoretically causes)

用于小波分解与重构算法 对于初学者很有用 验证可用(For wavelet decomposition and reconstruction)

用matlab实现对矩阵的双三次插值算法实现(Bicubic interpolation matlab realize)

This is a simulink program for designing Low pass and High pass ACTIVE Filters circuit.

music算法进行雷达信号方向角的谱估计，比较详细。有仿真图形。(music algorithm of radar signal spectrum DOA estimates, in more detail. There are simulation graphics.)

说明：   基于matlab 偏差补偿最小二乘的递推算法(Matlab error compensation based on the recursive least squares algorithm)

高斯法求解方程，在matlab中建立，求解方程并显示运算时间结果，用于对高斯法有一个更直观的认识。(Gauss method for solving equations, established in matlab, solving equations and displays the computation time results for the Gaussian method has a more intuitive understanding.)

详解matlab通信系统 第一章 代码 详解matlab通信系统 第一章 代码(Detailed communication systems matlab matlab code Comments chap chap code communication system)

为了最大限度地减少能源采集充电通信系统传输完成时间，各 传输调度方案已被提出。然而，他们并没有考虑这个问题，其中一个发射器可能会失败 之前完成传输。为广播与能量收集解决这个问题，传输调度 切换发射器进行了研究。在广播通信系统中包括两个发射器和两个用户。该 发射器获取能量和独立工作交替进行。传输调度问题转化为 最小化传输的完成时间，在能量的因果关系的约束，数据传输的限制，而 发射器的开关约束。发射器的开关被证明发射机不应该停止传输解决 之前切换到其他发射器和切换阈值应当是零。然后，一个最佳的发送策略是 基于对速度区域和发射器的开关机制，早期的作品提出。建议的最佳传输 政策可以达到更大的速度比区域若干种次优的传输策略。( To minimise transmission completion time in energy-harvesting rechargeable communication systems, various transmission scheduling schemes have been proposed. However, they did not consider the issue where a transmitter may fail before completing the transmission. To resolve this issue, transmission scheduling for broadcasting with energy-harvesting switching transmitters is studied. The broadcasting communication system consists of two transmitters and two users. The transmitters harvest energy independently and work alternately. The transmission scheduling problem is formulated as minimising the transmission completion time, under the energy causality constraint, the data transmission constraint, and the transmitter switching constraint. Transmitter switching is addressed by proving that a transmitter should not stop transmission before switching to the other transmitter and the switching threshold should be zero. Then, an optimal transmission policy is proposed based on earl)