In this project we analyze and design the minimum mean-square error (MMSE) multiuser receiver for uniformly quantized synchronous code division multiple access (CDMA) signals in additive white Gaussian noise (AWGN) channels.This project is mainly based on the representation of uniform quantizer by gain plus additive noise model. Based on this model, we derive the weight vector and the output signal-to-interference ratio (SIR) of the MMSE receiver. The effects of quantization on the MMSE receiver performance is characterized in a single parameter named 鈥漞quivalent noise variance鈥? The optimal quantizer stepsize which maximizes the MMSE receiver output SNR is also determined.
標簽： mean-square multiuser receiver project
上傳時間： 2014-11-21
上傳用戶：ywqaxiwang
一個全排列算法的實現，利用了C++模板技術以及STL 中的 Vector
標簽： 算法
上傳時間： 2013-12-29
上傳用戶：gmh1314
In computer vision, sets of data acquired by sampling the same scene or object at different times, or from different perspectives, will be in different coordinate systems. Image registration is the process of transforming the different sets of data into one coordinate system. Registration is necessary in order to be able to compare or integrate the data obtained from different measurements. Image registration is the process of transforming the different sets of data into one coordinate system. To be precise it involves finding transformations that relate spatial information conveyed in one image to that in another or in physical space. Image registration is performed on a series of at least two images, where one of these images is the reference image to which all the others will be registered. The other images are referred to as target images.
標簽： different computer acquired sampling
上傳時間： 2013-12-28
上傳用戶：來茴
SQL中的單記錄函數 1.ASCII 返回與指定的字符對應的十進制數 SQL> select ascii( A ) A,ascii( a ) a,ascii( 0 ) zero,ascii( ) space from dual A A ZERO SPACE --------- --------- --------- --------- 65 97 48 32 2.CHR 給出整數,返回對應的字符 SQL> select chr(54740) zhao,chr(65) chr65 from dual ZH C -- -
上傳時間： 2017-04-14
上傳用戶：330402686
There are _NO_ standard sample rate for the samples used in modules. But most often the samples are done on the rate called C-3 (which is about 16574 Hz if you have a PAL machine). Sometimes drums are sampled at A-3 (around 28 kHz), and some sounds are at ~8 kHz or anything else to save space.
上傳時間： 2017-04-14
上傳用戶：稀世之寶039
統計模式識別工具箱（Statistical Pattern Recognition Toolbox）包含： 1，Analysis of linear discriminant function 2，Feature extraction: Linear Discriminant Analysis 3，Probability distribution estimation and clustering 4，Support Vector and other Kernel Machines
標簽： Statistical Recognition Pattern Toolbox
上傳時間： 2014-01-03
上傳用戶：璇珠官人
The purpose of this project is to explore the issues and implementation of a multiple instruction stream, single data stream processor. We are running two instruction streams on two CPUs which share an address space. The processors share a second level cache, and maintain coherence at the L1 cache with a write-invalidate policy. The L2 cache is two-way set associative, with a block size of 8 words, and a total capacity of 512 words.
標簽： implementation instruction multiple purpose
上傳時間： 2017-04-18
上傳用戶：731140412
(有源代碼)數值分析作業,本文主要包括兩個部分,第一部分是常微分方程(ODE)的三個實驗題,第二部分是有關的拓展討論,包括高階常微分的求解和邊值問題的求解(BVP).文中的算法和算例都是基于Matlab計算的.ODE問題從剛性(STIFFNESS)來看分為非剛性的問題和剛性的問題,剛性問題(如大系數的VDP方程)用通常的方法如ODE45來求解,效率會很低,用ODE15S等,則效率會高多了.而通常的非剛性問題,用ODE45來求解會有很好的效果.從階次來看可以分為高階微分方程和一階常微分方程,高階的微分方程一般可以化為狀態空間(STATE SPACE)的低階微分方程來求解.從微分方程的性態看來,主要是微分方程式一階導系數大的時候,步長應該選得響應的小些.或者如果問題的性態不是太好估計的話,用較小的步長是比較好的,此外的話Adams多步法在小步長的時候效率比R-K(RUNGE-KUTTA)方法要好些,而精度也高些,但是穩定區間要小些.從初值和邊值來看,也是顯著的不同的.此外對于非線性常微分方程還有打靶法,胞映射方法等.而對于微分方程穩定性的研究,則諸如相平面圖等也是不可缺少的工具.值得提出的是,除了用ode系類函數外,用simulink等等模塊圖來求解微分方程也是一種非常不錯的方法,甚至是更有優勢的方法(在應用的角度來說).
上傳時間： 2014-01-05
上傳用戶：caixiaoxu26
how to add arrays * Use of const (constant) values. * Creation of vectors. * Passing vectors as function arguments. * Reading from files of unknown size (monitoring istream status). * Repetitive structures (while and for loops). * The increment operators (++). * Selection structures (if-else statements). * Use of the .size, .empty, .begin, .insert, .erase, .resize, .clear and .swap vector class member functions.
標簽： Creation constant Passing vectors
上傳時間： 2017-04-25
上傳用戶：1079836864
Learn how to: * Tokenize a null-terminated string * Create a search and replace function for strings * Implement subtraction for string objects * Use the vector, deque, and list sequence containers * Use the container adaptors stack, queue, and priority_queue * Use the map, multimap, set, and multiset associative containers * Reverse, rotate, and shuffle a sequence * Create a function object * Use binders, negators, and iterator adapters * Read and write files * Use stream iterators to handle file I/O * Use exceptions to handle I/O errors * Create custom inserters and extractors * Format date, time, and numeric data * Use facets and the localization library * Overload the [ ], ( ), and -> operators * Create an explicit constructor * And much, much more
標簽： null-terminated Tokenize Create string
上傳時間： 2014-01-18
上傳用戶：yph853211
