Description: 基于TMS320VC5402 DSP平台的广义平稳信号的相关算法的C语言实现,在CCS里调试通过-TMS320VC5402 DSP platform based on the generalized smooth signal correlation algorithm in C language, debugging through CCS Lane Platform: |
Size: 44077 |
Author:锁斌 |
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Description: 基于TMS320VC5402 DSP平台的广义平稳信号的相关算法的C语言实现,在CCS里调试通过-TMS320VC5402 DSP platform based on the generalized smooth signal correlation algorithm in C language, debugging through CCS Lane Platform: |
Size: 50176 |
Author:锁斌 |
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Description: 用c语言实现下列的数字信号处理算法
1．离散傅里叶级数合成连续周期信号
2．DIF FFT 测试程序
3．将输入数据的幅度画出图形
4．使用FFT实现快速卷积
5．使用FFT实现快速相关
6．取样混迭演示程序
-language used to achieve the following digital signal processing algorithms 1. Discrete Fourier series synthetic signal two consecutive cycles. DIF FFT three test procedures. The input data rate of 4 paint graphics. Use FFT fast convolution 5. Use FFT fast correlation 6. Aliasing sampling Demonstration Program Platform: |
Size: 19456 |
Author:胡叶 |
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Description: 信号自相关进行比较，对六个信号进行自相关比较-Signal auto-correlation to compare the six signals from the relevant comparison Platform: |
Size: 20480 |
Author:larry |
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Description: 利用相关函数求信号功率谱,信号的自相关函数及不同信号的互相关函数-Use of correlation function for the signal power spectrum, the signal of the autocorrelation function and different signal cross-correlation function Platform: |
Size: 3072 |
Author:highcases |
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Description: 这本书从零开始，详细从数学方面讲解和推导了FFT，DFT，卷积，相关等信号处理原理，有兴趣的朋友-This book from scratch, from mathematics to explain in detail and derived FFT, DFT, convolution, correlation and other signal processing theory, are interested in friends Platform: |
Size: 8683520 |
Author:xurongjun |
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Description: 两个随机信号相关DSP实现及在故障距离判别运用,是现代信号处理理论教学的实验部分,利于理解随机过程相关的实际意义-Two random signals related to DSP and realize fault distance criterion in the use of modern signal processing theory of part of the teaching experiment, which will help understanding of stochastic processes related to the actual significance Platform: |
Size: 58368 |
Author:lvnianzhi |
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Description: 主要实现卷积功能，用于工业微弱信号监测和信号处理，-The main implementation convolution function, weak signal for industrial monitoring and signal processing, Platform: |
Size: 214016 |
Author:陈臻懿 |
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Description: 通过采用神经网络中的Clipping方法和MonteCarlo修改学习算法，对用于光学模式识别的纯相位二值化匹配滤波器进行了优化设计。计算机模拟结果表明，和传统的纯相位匹配滤波器的相关输出结果相比，其识别输出的信噪比和信号相关峰值得到了明显的提高，从而为今后的光学实现奠定了良好的基础。-Through the use of neural network methods and MonteCarlo modify Clipping learning algorithm for optical pattern recognition of binary phase-only matched filter optimized design. Computer simulation results show that the traditional phase-only matched filter correlation output compared with the results, which identify the output signal to noise ratio and signal correlation peak has been significantly improved, so as to achieve the future optical laid a good foundation. Platform: |
Size: 323584 |
Author:刘杰 |
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Description: ESPRIT算法是一种用于信号到来角(DOA)估计的直接求解方法,本程序中含有3种不同的算法均为自编-ESPRIT algorithm is used to signal the arrival angle (DOA) estimation of the direct methods, its performance at low signal to noise ratio (SNR) and signal correlation will seriously undermine Platform: |
Size: 2048 |
Author:苗俊 |
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Description: 互相关是信号处理中的基本运算式，长用于地震资料的常规数字处理，应用C++语言实现此算法-Cross-correlation signal processing is the basic expression, long used in conventional digital seismic data processing, application C++ language this algorithm Platform: |
Size: 4096 |
Author:李浩 |
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Description: 信号的相关性是很重要的性质，求一维，二维高斯随机数的自相关函数，并进行统计分析。-Signal correlation is very important, for the properties of one-dimensional, two-dimensional gaussian random autocorrelation, and statistical analysis.
Platform: |
Size: 120832 |
Author:easondy |
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Description: 二元天线阵在矩形巷道中接收信号的相关性的matlab仿真-Element antenna array in a rectangular tunnel in the received signal correlation matlab simulation Platform: |
Size: 1024 |
Author:Liu Fengxue |
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Description: Compressive sensing (CS) is a new approach to simultaneous sensing and compression
that enables a potentially large reduction in the sampling and computation
costs for acquisition of signals having a sparse or compressible representation in some
basis. The CS literature has focused almost exclusively on problems involving single
signals in one or two dimensions. However, many important applications involve distributed
networks or arrays of sensors. In other applications, the signal is inherently
multidimensional and sensed progressively along a subset of its dimensions examples
include hyperspectral imaging and video acquisition. Initial work proposed joint sparsity
models for signal ensembles that exploit both intra- and inter-signal correlation
structures. Joint sparsity models enable a reduction in the total number of compressive
mea-Compressive sensing (CS) is a new approach to simultaneous sensing and compression
that enables a potentially large reduction in the sampling and computation
costs for acquisition of signals having a sparse or compressible representation in some
basis. The CS literature has focused almost exclusively on problems involving single
signals in one or two dimensions. However, many important applications involve distributed
networks or arrays of sensors. In other applications, the signal is inherently
multidimensional and sensed progressively along a subset of its dimensions examples
include hyperspectral imaging and video acquisition. Initial work proposed joint sparsity
models for signal ensembles that exploit both intra- and inter-signal correlation
structures. Joint sparsity models enable a reduction in the total number of compressive
mea Platform: |
Size: 6544384 |
Author:muhammedalijalil |
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Description: Matlab产生正弦波、均匀白噪声、高斯白噪声，并将两种噪声叠加到正弦波上。并给出自相关和功率谱密度波形(Matlab produces sine wave, uniform white noise, Gauss white noise, and superimposes two kinds of noise on the sine wave. And give self correlation and power spectral density waveforms) Platform: |
Size: 1024 |
Author:xianseng |
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Search - Signal correlation