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.
This Telecommunication Standard [TS] describes the detailed mapping from input blocks of 160 speech samples in
13-bit uniform PCM format to encoded blocks of 95, 103, 118, 134, 148, 159, 204, and 244 bits and from encoded
blocks of 95, 103, 118, 134, 148, 159, 204, and 244 bits to output blocks of 160 reconstructed speech samples
3rd Generation Partnership Project
Technical Specification Group Radio Access Network
Spatial channel model for
Multiple Input Multiple Output [MIMO] simulations
DESCRIPTION
The DCP0105 family is a series of high efficiency, 5V
input isolated DC/DC converters. In addition to 1W
nominal galvanically isolated output power capability,
the range of DC/DCs are also fully synchronizable.
The devices feature thermal shutdown, and overload
protection is implemented via watchdog circuitry.
Advanced power-on reset techniques give superior
reset performance and the devices will start into any
capacitive load up to full power output.
The DCP0105 family is implemented in standard-
molded IC packaging, giving outlines suitable for high
volume assembly.
使用FPGA/CPLD設(shè)置語(yǔ)音AD、DA轉(zhuǎn)換芯片AIC23，F(xiàn)PGA/CPLD系統(tǒng)時(shí)鐘為24.576MHz
1、AIC系統(tǒng)時(shí)鐘為12.288MHz，SPI時(shí)鐘為6.144MHz
2、AIC處于主控模式
3、input bit length 16bit output bit length 16bit MSB first
4、幀同步在96KHz
c pgm to find redundant paths in a graph.Many fault-tolerant network algorithms rely on an underlying assumption that there are possibly distinct network paths between a source-destination pair. Given a directed graph as input, write a program that uses depth-first search to determine all such paths. Note that, these paths are not vertex-disjoint i.e., the vertices may repeat but they are all edge-disjoint i.e., no two paths have the same edges. The input is the adjacency matrix of a directed acyclic graph and a pair(s) of source and destination vertices and the output should be the number of such disjoint paths and the paths themselves on separate lines. In case of multiple paths the output should be in order of paths with minimum vertices first. In case of tie the vertex number should be taken in consideration for ordering.
Shortest Paths with Multiplicative Cost. In a given undirected graph, the path cost is measured as a product of all the edges in the path. The weights are rational numbers (e.g., 0.25, 0.75, 3.75 etc) or integers (2, 3). There are no negative edges. Given such a graph as input, you are to output the shortest path between any two given vertices. Input is the adjacency matrix and the two vertices. You must output the path.
In some graphs, the shortest path is given by optimizing two different metrics: the sum of weights of the edges and the number of edges. For example: if two paths with equal cost exist then, the path with the least number of edges is chosen as the shortest path. Given this metric, you have find out the shortest path between a given pair of vertices in the input graph. The output should be the number of edges on the path, the cost of the shortest path, and the path itself. Input is the adjacency matrix and the two vertices.
