PPPIterative-EM-MAP-Algorithm

MIMO Othogonal Frequency Division Modulation

研究LTE系统中半静态调度引入优先级后，用户吞吐量与SNR的关系(After studying the LTE system, the introduction of the semi-static scheduling priority, and user throughput and the relationship between SNRoutput of the converted character encoding. If the input aAb, output cCg)

code in matlab for detection

在这个例子中，我们对有三条固定路径的AWGN多径信道中的QPSK系统进行BER性能仿真，并与在理想的AWGN信道（没有多径）中同样系统的BER性能进行比较。(In this example, we have three fixed-path multipath AWGN channel QPSK system BER performance simulation, and in an ideal AWGN channel (no multipath) in the same system BER performance comparison Progressive line.)

The Shaper is implemented as a state machine for code production and integration in embedded systems. Shaper gets active on a rising edge of Trigger , filtering out the fast dynamic of the target in which excites all the plant modes. param.mat plant.mdl shaper.mdl shaperScan.m

说明：  基于小波变换与正交匹配准备恢复算法的稀疏恢复算法试验(Orthogonal wavelet transform algorithm is ready to resume Test match)

基于 DCT(离散余弦变换 )域的信息隐藏算法是目前应用最广的变换域算法 ,此类算法的最大不足是嵌信息量小。通过分析 DCT域隐藏算法隐藏容量少的原因 ,提出了一种大容量的 DCT域信息隐藏算法。算法首先对载体图像进行频谱均匀化处理 ,然后对图像进行全局 DCT变换 ,并将隐藏信息嵌入到载体图像的低频 DCT系数上 ,信息嵌入采用分段量化的方法实现 ,提取隐藏信息时不需要原始载体图像。实验结果表明 ,该算法的嵌入容量大 ,不可感知性好。(Based on DCT (discrete cosine transform) domain information hiding algorithm is the most widely used transform domain algorithms, the largest of these algorithms is the lack of a small amount of information embedded. Hiding Algorithm for DCT domain by analyzing the hidden reasons for the low capacity, a large capacity of information hiding algorithm for DCT domain. Firstly, the spectrum of the carrier image homogenization, and then the image is a global DCT transformation, and hidden information embedded into the image of the low-frequency DCT coefficients, the information embedded in the methods used to achieve sub-quantization, extract hidden information without the original Vector image. Experimental results show that the algorithm embedding capacity, can not be perceived good.)

some dataset for weka some dataset for weka

This book is an introduction to two subjects:Matlaband numerical computing. This first chapter introducesMatlabby presenting several programs that inves- tigate elementary, but interesting, mathematical problems. If you already have some experience programming in another language, we hope that you can see how Matlabworks by simply studying these programs.

Closed form BER for Alamouti Code