Description: Adaptive Filter. This script shows the BER performance of several types of equalizers in a static channel with a null in the passband. The script constructs and implements a linear equalizer object and a decision feedback equalizer (DFE) object. It also initializes and invokes a maximum likelihood sequence estimation (MLSE) equalizer. The MLSE equalizer is first invoked with perfect channel knowledge, then with a straightforward but imperfect channel estimation technique. Platform: |
Size: 134537 |
Author:zhang |
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Description: 在信道不完美估计状况下，空频分组码在ofdm系统中的性能分析-in Channel estimates situation is not perfect, the air Frequency Block in OFDM System Performance Analysis Platform: |
Size: 2048 |
Author:foeni |
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Description: Adaptive Filter. This script shows the BER performance of several types of equalizers in a static channel with a null in the passband. The script constructs and implements a linear equalizer object and a decision feedback equalizer (DFE) object. It also initializes and invokes a maximum likelihood sequence estimation (MLSE) equalizer. The MLSE equalizer is first invoked with perfect channel knowledge, then with a straightforward but imperfect channel estimation technique. -Adaptive Filter. This script shows the BER performance of several types of equalizers in a static channel with a null in the passband. The script constructs and implements a linear equalizer object and a decision feedback equalizer (DFE) object. It also initializes and invokes a maximum likelihood sequence estimation (MLSE) equalizer. The MLSE equalizer is first invoked with perfect channel knowledge, then with a straightforward but imperfect channel estimation technique. Platform: |
Size: 134144 |
Author:zhang |
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Description: This demo shows the BER performance of linear, decision feedback (DFE), and maximum likelihood sequence estimation (MLSE) equalizers when operating in a static channel with a deep null. The MLSE equalizer is invoked first with perfect channel knowledge, then with an imperfect, although straightforward, channel estimation algorithm. The BER results are determined through Monte Carlo simulation. The demo shows how to use these equalizers seamlessly across multiple blocks of data, where equalizer state must be maintained between data blocks. Platform: |
Size: 102400 |
Author:Lee |
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Description: 一种改进的自适应滤波器的状态估计，效果非常之好,是用MATLAB编写的，直接在matlab下运行就可以看到完美的滤波效果，自适应算法是sage—husa算法，较传统的滤波器有很大提高-An improved adaptive filter state estimation, the effect is definitely a good thing, is to use MATLAB prepared directly in matlab run will be able to see the effect of a perfect filter, adaptive algorithm is sage-husa algorithm, a more traditional filter machine has greatly improved Platform: |
Size: 1024 |
Author:周志远 |
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Description: 基于二阶和高阶统计量的MIMO系统盲信道估计，可完美进行信道估计，进行误码率及误差分析等。-Based on second-order and higher-order statistics of the MIMO system, blind channel estimation can be the perfect channel estimation carried out for the bit error rate and error analysis. Platform: |
Size: 23552 |
Author:张张 |
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Description: MIMO系统信道估计的经典MUSIC算法，有解释，可完美运行-MIMO channel estimation system of the classical MUSIC algorithm, there is explanation of the perfect run Platform: |
Size: 1024 |
Author:张张 |
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Description: 完美的ofdm系统matlab仿真程序，从编解码到加入信道到调制解调到信道均衡到同步和频偏估计，带有详细的程序说明-Matlab simulation ofdm system the perfect program to join from the codec to the modem channel to channel equalization to the synchronization and frequency offset estimation, with a detailed description of the procedures Platform: |
Size: 911360 |
Author:dashanfh |
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Description: 一个非常完整的ofdm程序。接收端采用的算法和程序流程与发送端发送的OFDM符号的帧结构有关系。包括具体的帧结构，以及定时估计，频偏估计，剩余误差跟踪的算法-Ofdm a very complete program. Receiver using the algorithm and program flow with the sender sends the frame structure of OFDM symbols are related. Including specific frame structure and timing estimation, frequency estimation, residual error tracking algorithm Platform: |
Size: 253952 |
Author:刘雪芳 |
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Description: 实现运动估计全搜索的功能，包括主文件motionEstAnalysis.m 和motionEstES.m 等等文件，完美实现运动估计-Realization of full search motion estimation function, including the main file motionEstAnalysis. M and motionEstES. M, and so on documents, perfect realization of motion estimation Platform: |
Size: 9216 |
Author:秦浩 |
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Description: 非常完美的ofdm程序，解决了ofdm系统信道估计，定时，循环前缀等一系列问题.-Perfect OFDM procedures to solve the OFDM system channel estimation, timing, cyclic prefix, a series of questions. Platform: |
Size: 136192 |
Author:胡能鹏 |
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Description: We see that HTH matrix is almost diagonal as the off diagonal elements are nearly zero. So we are getting exact estimation in case of PRN INPUT due to diagonality of HTH matrix. As seen that the unknown inpulse response ( h ) and estimated impulse response ( hth ) are coming out to be exactly same. The estimation even gets better for large N .as we get the HTH matrix perfect diagonal. So we come to know that we can estimate the unknown parameters exactly when PRN input is used.-We see that HTH matrix is almost diagonal as the off diagonal elements are nearly zero. So we are getting exact estimation in case of PRN INPUT due to diagonality of HTH matrix. As seen that the unknown inpulse response ( h ) and estimated impulse response ( hth ) are coming out to be exactly same. The estimation even gets better for large N .as we get the HTH matrix perfect diagonal. So we come to know that we can estimate the unknown parameters exactly when PRN input is used. Platform: |
Size: 1024 |
Author: |
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Description: We see that HTH matrix is almost diagonal as the off diagonal elements are nearly zero. So we are getting exact estimation in case of PRN INPUT due to diagonality of HTH matrix. As seen that the unknown inpulse response ( h ) and estimated impulse response ( hth ) are coming out to be exactly same. The estimation even gets better for large N .as we get the HTH matrix perfect diagonal. So we come to know that we can estimate the unknown parameters exactly when PRN input is used.-We see that HTH matrix is almost diagonal as the off diagonal elements are nearly zero. So we are getting exact estimation in case of PRN INPUT due to diagonality of HTH matrix. As seen that the unknown inpulse response ( h ) and estimated impulse response ( hth ) are coming out to be exactly same. The estimation even gets better for large N .as we get the HTH matrix perfect diagonal. So we come to know that we can estimate the unknown parameters exactly when PRN input is used. Platform: |
Size: 1024 |
Author: |
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Description: We see that HTH matrix is almost diagonal as the off diagonal elements are nearly zero. So we are getting exact estimation in case of PRN INPUT due to diagonality of HTH matrix. As seen that the unknown inpulse response ( h ) and estimated impulse response ( hth ) are coming out to be exactly same. The estimation even gets better for large N .as we get the HTH matrix perfect diagonal. So we come to know that we can estimate the unknown parameters exactly when PRN input is used.-We see that HTH matrix is almost diagonal as the off diagonal elements are nearly zero. So we are getting exact estimation in case of PRN INPUT due to diagonality of HTH matrix. As seen that the unknown inpulse response ( h ) and estimated impulse response ( hth ) are coming out to be exactly same. The estimation even gets better for large N .as we get the HTH matrix perfect diagonal. So we come to know that we can estimate the unknown parameters exactly when PRN input is used. Platform: |
Size: 1024 |
Author: |
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Description: 完美的OFDM信道估计仿真程序，可以传输音频。希望对您的研究有帮助-Perfect OFDM channel estimation simulation program can transmit audio. I hope to help your research Platform: |
Size: 128000 |
Author:hehe |
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Description: 展示了线性、DFE、MLSE均衡器的信噪比性能，并通过蒙特卡罗模拟信道估计结果确定。-This demo shows the BER performance of linear, decision feedback (DFE), and maximum likelihood sequence estimation (MLSE) equalizers when operating in a static channel with a deep null. The MLSE equalizer is invoked first with perfect channel knowledge, then with an imperfect, although straightforward, channel estimation algorithm. The BER results are determined through Monte Carlo simulation. The demo shows how to use these equalizers seamlessly across multiple blocks of data, where equalizer state must be maintained between data blocks.
Platform: |
Size: 112640 |
Author: |
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Description: 代码是matlab编写，有例图，可直接运行（注意修改路径）。主要用来检测桥面、路面裂纹，有详细函数功能说明和算法思想，实现了路面规则条纹背景的频率估计，采用频域滤波可有效去除路面图像接近估计频率的噪声，保留目标裂纹，实现了初步的检测功能，但是功能还不完善，可作Demo供大家参考。有兴趣的朋友可以逐步完善、移植，有兴趣的朋友请与我联系。-Matlab code is written, there is case diagram, can be run directly (Note to modify the path). Mainly used to detect bridge, road cracks, a detailed description and algorithms Function thinking to achieve a frequency of road rules striped background estimation, using frequency domain filtering can effectively remove the image close to estimate the frequency of road noise, keep cracking goal to achieve a preliminary detection function, but the function is not perfect, can be used for Demo for your reference. Interested friends can gradually improve, transplant, friends who are interested, please contact me. Platform: |
Size: 2180096 |
Author:孟浪 |
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Description: 仿真采用QPSK和16-QAM调制时，接收机采用理想信道估计和利用训练符号进行信道估计的误比特率性能-The simulation using QPSK and 16-QAM modulation, receiver with perfect channel estimation and using training symbols for the bit error rate performance of the channel estimation Platform: |
Size: 2048 |
Author:EDISON |
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Description: mimo程序，功能很完善。可以调整收发天线数和信道类型。可决定是否进行信道估计-MIMO procedure, function is perfect. You can adjust the number of antennas and channel type. Can determine whether the channel estimation Platform: |
Size: 22528 |
Author:kevin |
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Search - perfect estimation