Program uses a 2-D dynamic array to store any number of sets of randomly generated LOTO 6/49 numbers. Simulation signed Lotto
標簽： generated randomly Program dynamic
上傳時間： 2017-02-19
上傳用戶：愛死愛死
Kalman filter in c c++ code, the five Kalman equations have been implemented for randomly generated data.
標簽： Kalman implemented equations generated
上傳時間： 2017-04-27
上傳用戶：lmeeworm
Tic Tac Toe程序。可以供一到兩個玩家使用。程序中使用了visual basic 計時器，所以每一個步驟都有時間限制。此外，計算機可是一個有簡單智能的對手，他不但不會隨便出手，反而還要竭力贏了你才罷休。 Tic Tac Toe program. One or two players. It uses the visual basic timer, so each move has time limit. Simple artificial intelligence: computer does not play randomly, but "tries" to win and stop you from winning.
上傳時間： 2015-04-11
上傳用戶：sxdtlqqjl
Carrier-phase synchronization can be approached in a general manner by estimating the multiplicative distortion (MD) to which a baseband received signal in an RF or coherent optical transmission system is subjected. This paper presents a unified modeling and estimation of the MD in finite-alphabet digital communication systems. A simple form of MD is the camer phase exp GO) which has to be estimated and compensated for in a coherent receiver. A more general case with fading must, however, allow for amplitude as well as phase variations of the MD. We assume a state-variable model for the MD and generally obtain a nonlinear estimation problem with additional randomly-varying system parameters such as received signal power, frequency offset, and Doppler spread. An extended Kalman filter is then applied as a near-optimal solution to the adaptive MD and channel parameter estimation problem. Examples are given to show the use and some advantages of this scheme.
標簽： synchronization Carrier-phase multiplicativ approached
上傳時間： 2013-11-28
上傳用戶：windwolf2000
How the K-mean Cluster work Step 1. Begin with a decision the value of k = number of clusters Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following: Take the first k training sample as single-element clusters Assign each of the remaining (N-k) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster. Step 3 . Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample. Step 4 . Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments.
標簽： the decision clusters Cluster
上傳時間： 2013-12-21
上傳用戶：gxmm
The VGA example generates a 320x240 diffusion-limited-aggregation (DLA) on Altera DE2 board. A DLA is a clump formed by sticky particles adhering to an existing structure. In this design, we start with one pixel at the center of the screen and allow a random walker to bounce around the screen until it hits the pixel at the center. It then sticks and a new walker is started randomly at one of the 4 corners of the screen. The random number generators for x and y steps are XOR feedback shift registers (see also Hamblen, Appendix A). The VGA driver, PLL, and reset controller from the DE2 CDROM are necessary to compile this example. Note that you must push KEY0 to start the state machine.
標簽： diffusion-limited-aggregation DLA generates 320x240
上傳時間： 2014-01-16
上傳用戶：225588
Device-to-device(D2D) communications are now considered as an integral part of future 5G networks which will enable direct communication between user equipment (UE) without unnecessary routing via the network infrastructure. This architecture will result in higher throughputs than conventional cellular networks, but with the increased potential for co-channel interference induced by randomly located cellular and D2D UEs.
標簽： Device-to-Device Communications Analysis of
上傳時間： 2020-05-26
上傳用戶：shancjb
