qaiben

estimate the BER of BPSK over 1x2 Rayleigh channel as a function of the correlation between the channels.

nakagami testing function

Analysis K-SVD: A Dictionary-Learning Algorithm for the Analysis Sparse Model.

端点检测程序 端点检测程序 端点检测程序 (vad.m － 端点检测程序 vad.m － 端点检测程序)

Chevyshev algoritmo de filtro

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)

很好的程序！Lu系统的Lyapunov指数，分岔图和庞加莱映射！(Good program! Lyapunov index, bifurcation diagram and Poincare map of Lu system.)

CML for LDPC coding using DVBSc

利用相关的瞬时值通过在工作过程中的逐步调整参数逼近信号的统计特性，实现最优滤波。由此，我们得到一种最常用的算法——最小均方算法，简称LMS算法。(By using the instantaneous value of the correlation operation of the progressive approximation of the statistical properties of the signal to adjust the parameters to achieve optimal filtering. Thus, we get one of the most commonly used algorithms- the minimum mean square algorithm, called LMS algorithm.)

Hausdorff回归的主要优点是不应该指定的错误（垂直，水平，方向正交...与普通最小二乘），它是相对于较少的距离平方敏感。(The main advantages of the Hausdorff regression are that one should not specify the direction of the errors (vertical, horizontal, orthogonal ... with the ordinary least squares) and that it is less sensitive with respect to the square of the distance.)