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Python
import numpy as np # Constants f_signal = 2160 # Frequency of the cosine signal in Hz f_sample = 40e6 # Sampling frequency in Hz b = 8 # Number of bits v_max = 5.0 # Maximum voltage v_min = 0.0 # Minimum voltage t_samples = 5 # Number of samples to calculate # Time vector for the first 5 samples t = np.arange(t_samples) / f_sample # Signal s_t = 2 * np.cos(2 * np.pi * f_signal * t) + 2.5 # Quantization quant_levels = 2**b # Mapping the signal voltage to quantization levels quantized_levels = np.round((s_t - v_min) / (v_max - v_min) * (quant_levels - 1)) # Ensure levels are within 0 to 2^b - 1 quantized_levels = np.clip(quantized_levels, 0, quant_levels - 1) # Encode quantized levels to binary encoded_bits = [np.binary_repr(int(level), width=b) for level in quantized_levels] s_t, quantized_levels, encoded_bits
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Innovative White Flying Cab
Properties
Properties describe core aspects of the project.
Pricing & Availability
Distributor | Qty 1 |
|---|---|
Digi-Key | $3.31–$4.82 |
LCSC | $0.91 |
Mouser | $5.85 |
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