Description: Title: MMSE Receiver for DS-SS in AWGN Channel
Author: Panson Tantikovit
Summary: An adaptive receiver for DS-SS systems
MATLAB Release: R12.1
Required Products: Communications Toolbox,Signal Processing Blockset
Description: This is an adaptive receiver for a direct-sequence spread spectrum (DS-SS) system over an AWGN channel. The adaptive receiver block is modified from the LMS adaptive filter block in DSP Blockset. For DS-SS signal reception, the adaptive filter needs to have multi-rate operation. The input sample rate is equal to chip rate and the output is at symbol rate. Two rates are related by PG, processing gain.
-Title: MMSE Receiver for DS-SS in AWGN Channel Author: Panson Tantikovit Summary: An adaptive receiver for DS-SS systems MATLAB Release: R12.1 Required Products: Communications Toolbox,Signal Processing Blockset Description: This is an adaptive receiver for a direct-sequence spread spectrum (DS-SS) system over an AWGN channel. The adaptive receiver block is modified from the LMS adaptive filter block in DSP Blockset. For DS-SS signal reception, the adaptive filter needs to have multi-rate operation. The input sample rate is equal to chip rate and the output is at symbol rate. Two rates are related by PG, processing gain. Platform: |
Size: 20127 |
Author:zzp |
Hits:
Description: 用于自适应控制的模糊神经网络代码，输入是误差和误差变化率。-for adaptive control of the FNN code, the importation of error and error rate of change. Platform: |
Size: 1024 |
Author:许佳 |
Hits:
Description: This an adaptive receiver for a direct-sequence spread spectrum (DS-SS) system over an AWGN channel. The adaptive receiver block is modified from the LMS adaptive filter block in DSP Blockset. For DS-SS signal reception, the adaptive filter needs to have multi-rate operation. The input sample rate is equal to chip rate and the output is at symbol rate. Two rates are related by PG, processing gain Platform: |
Size: 8192 |
Author:张非 |
Hits:
Description: 自适应共振理论网络 用来进行模式分类联想记忆效果很好，误差率极低，能正确识别-Adaptive Resonance Theory networks used for pattern classification associative memory with good results, the error rate is very low, able to correctly identify Platform: |
Size: 6144 |
Author:饶玉明 |
Hits:
Description: 关于自适应滤波的一系列程序，包括二进制信道均衡，噪声对消，信号增强等，斑竹，该加精了吧？-adaptive filter on a series of procedures, including binary channel equalization and noise cancellation and signal enhancement, fed, the rate is honed? Platform: |
Size: 36864 |
Author:gjd |
Hits:
Description: Title: MMSE Receiver for DS-SS in AWGN Channel
Author: Panson Tantikovit
Summary: An adaptive receiver for DS-SS systems
MATLAB Release: R12.1
Required Products: Communications Toolbox,Signal Processing Blockset
Description: This is an adaptive receiver for a direct-sequence spread spectrum (DS-SS) system over an AWGN channel. The adaptive receiver block is modified from the LMS adaptive filter block in DSP Blockset. For DS-SS signal reception, the adaptive filter needs to have multi-rate operation. The input sample rate is equal to chip rate and the output is at symbol rate. Two rates are related by PG, processing gain.
-Title: MMSE Receiver for DS-SS in AWGN Channel Author: Panson Tantikovit Summary: An adaptive receiver for DS-SS systems MATLAB Release: R12.1 Required Products: Communications Toolbox,Signal Processing Blockset Description: This is an adaptive receiver for a direct-sequence spread spectrum (DS-SS) system over an AWGN channel. The adaptive receiver block is modified from the LMS adaptive filter block in DSP Blockset. For DS-SS signal reception, the adaptive filter needs to have multi-rate operation. The input sample rate is equal to chip rate and the output is at symbol rate. Two rates are related by PG, processing gain. Platform: |
Size: 19456 |
Author:zzp |
Hits:
Description: 基于BP神经网络的 参数自学习控制
（1）确定BP网络的结构，即确定输入层节点数M和隐含层节点数Q，并给出各层加权系数的初值 和 ，选定学习速率 和惯性系数 ，此时k=1；
（2）采样得到rin(k)和yout(k)，计算该时刻误差error(k)=rin(k)-yout(k)；
（3）计算神经网络NN各层神经元的输入、输出，NN输出层的输出即为PID控制器的三个可调参数 ， ， ；
（4）根据(3.34)计算PID控制器的输出u(k)；
（5）进行神经网络学习，在线调整加权系数 和 ，实现PID控制参数的自适应调整；
（6）置k=k+1，返回（1）。
-Based on the parameters of BP neural network self-learning control (1) to determine the structure of BP network, that is, determine the input layer nodes M and hidden layer nodes Q, and gives all levels of the initial value and the weighted coefficient, the selected learning rate and inertia coefficient, when k = 1 (2) sample has been rin (k) and the yout (k), calculate the moment of error error (k) = rin (k)-yout (k) (3) calculation of neural network NN all floors of the neurons in input and output, NN output layer is the output of PID controller for the three adjustable parameters,, (4) According to (3.34) Calculation of PID controller output u (k) (5) to carry out neural network learning, on-line adjustment of the weighted coefficient and, realize the adaptive PID control parameters adjust (6) purchase k = k+ 1, return (1). Platform: |
Size: 1024 |
Author:dake |
Hits:
Description: This project demonstrates OFDM with adaptive modulation applied to Multiple-Input Multiple-
Output (MIMO) systems.
The analysis and simulation
is considered in two stages. The rst stage involves the application of a variable-rate
variable-power MQAM technique for a Single-Input Single-Output (SISO) OFDM system.
The second stage applies adaptive modulation to a general MIMO system
by making use of the Singular Value Decomposition to separate the MIMO channel into parallel
subchannels. Platform: |
Size: 15360 |
Author:steven |
Hits:
Description: 若不希望用与估计输入信号矢量有关的相关矩阵来加快LMS算法的收敛速度，那么可用变步长方法来缩短其自适应收敛过程，其中一个主要的方法是归一化LMS算法（NLMS算法），变步长 的更新公式可写成
W（n+1）=w（n）+ e（n）x（n）
=w（n）+ （3.1）
式中， = e（n）x（n）表示滤波权矢量迭代更新的调整量。为了达到快速收敛的目的，必须合适的选择变步长 的值，一个可能策略是尽可能多地减少瞬时平方误差，即用瞬时平方误差作为均方误差的MSE简单估计，这也是LMS算法的基本思想。
-Want to estimate if the input signal vector and the relevant matrix to speed up the convergence rate of LMS algorithm, then the variable step size method can be used to shorten its adaptive convergence process, one of the main method is normalized LMS algorithm (NLMS algorithm) , variable step-size update formula can be written W (n+ 1) = w (n)+ e (n) x (n) = w (n)+ (3.1) where, = e (n) x (n) the right to express filter update vector iterative adjust the volume. In order to achieve the purpose of fast convergence, we must choose the appropriate value of variable step size, a possible strategy is as much as possible to reduce the instantaneous squared error, which uses the instantaneous squared error as the mean square error MSE of the simple estimate, which is the basic LMS algorithm思想. Platform: |
Size: 3072 |
Author:闫丰 |
Hits:
Description: 此源码程序是自适应滤波中的NLMS算法的应用。在MATLAB中对其收敛速度 输出就行了仿真-This procedure is source of the NLMS adaptive filtering algorithm applications. In MATLAB in the convergence rate of its output on the line simulation Platform: |
Size: 3072 |
Author:wzk |
Hits:
Description: 此源码程序是自适应滤波中的RLS算法的应用。在MATLAB中对其收敛速度 输出就行了仿真-This procedure is source of RLS adaptive filtering algorithm applications. In MATLAB in the convergence rate of its output on the line simulation Platform: |
Size: 3072 |
Author:wzk |
Hits:
Description: RLS算法，编写了MATLAB程序实现自适应干扰对消。给出信号实例，用于验证所编写程序的性能。所给信号为：①噪声与语音的混合信号——signalnosie.wav；②噪声信号——noise.wav。两信号均为立体声，PCM压缩，采样速率为48000Hz，采样精度16bits。-RLS algorithm, the preparation of a MATLAB program to achieve adaptive interference cancellation. Given signal instance, prepared by the procedures used to validate performance. The given signal as follows: ① noise with the voice of mixed-signal- signalnosie. Wav ② noise signal- noise. Wav. Two signals are stereo, PCM compression, sampling rate of 48000Hz, the sampling precision of 16bits. Platform: |
Size: 948224 |
Author:丁小天 |
Hits:
Description: 802.11a物理层在matlab上的仿真图，有18M，24M，36M,54M的速率自适应选择.-802.11a physical layer in the matlab simulation on the map, there are 18M, 24M, 36M, 54M of rate-adaptive selection. Platform: |
Size: 164864 |
Author:小雪 |
Hits:
Search - rate adaptive MATLAB