调试成功的偏最小二乘法算法matlab例程

隐马尔科夫算法详细的介绍，英文版的，经典(Hidden Markov algorithm detailed introduction in English)

cognitive radio project report along with simulation results

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)

it is about ga binary

说明：  基于一维离散分数傅里叶变换的二维分数傅里叶变换(based on the 1-D disfrft to operate 2-D data)

Sound separation by ICA

主成分分析MATLAB相关程序主成分分析MATLAB相关程序(Principal component analysis related MATLAB program )

说明：  使用buck变换器实现最大功率点跟踪MPPT，给电池充电。(Use the buck converter to realize the maximum power point tracking MPPT and charge the battery.)

用MATLABT算法实现, 图象经过center weighted median filter后,对比 原图象和处理过图象的差别.(Algorithm used MATLABT, image after center weighted median filter, the contrast to the original image and processed image difference.)

Complex network to achieve the basic network model matlab