信噪比 Resources

Showing items tagged with "信噪比"

Estimating the frequency of a sinusoidal signal contaminated with additive white Gaussian noise via FFT involves computing the Fourier transform of x(n) to obtain the spectrum, identifying the frequency corresponding to the maximum magnitude, and calculating the mean squared error over multiple iterations. By varying the signal-to-noise ratio (SNR), simulations demonstrate that the mean squared error decreases as SNR increases, highlighting the method's robustness in noisy environments.

MATLAB 225 views Tagged

Speech enhancement algorithms including spectral subtraction, wavelet transform, and mathematical morphology methods, with comparative analysis of signal-to-noise ratio (SNR), spectrogram performance, and denoising effectiveness, discussing algorithm selection and parameter optimization strategies

MATLAB 408 views Tagged

Generate a random quaternary signal, perform QAM modulation, transmit through an additive white Gaussian noise (AWGN) channel by adding white noise to the modulated signal using addition operation, simulate the impact of AWGN channel on signal transmission, demodulate the received signal at the receiver end, compare with the original signal to calculate bit error rate (BER). Vary the noise power to plot signal-to-noise ratio (SNR) versus BER curve, and compare performance curves with classmates to evaluate the advantages and disadvantages of different modulation schemes.

MATLAB 256 views Tagged

Implementation of SC decoding algorithm for polar codes supporting configurable signal-to-noise ratios and code lengths, with extensibility to SCL and CA-SCL algorithms. The core computational components are written in C for maximum efficiency, while the main framework utilizes MATLAB for flexible system integration, achieving significant acceleration in processing speed through hybrid programming architecture.

MATLAB 215 views Tagged