![A BPSK signal s[n], real Gaussian noise w[n], and the received signal x[n] = s[n] + w[n] for SNR = 20 dB](https://www.wavewalkerdsp.com/wp-content/uploads/wordpress-popular-posts/15621-featured-125x75.png)
![Figure 1: The two sequences for the autocorrelation of x0[n] and x0[n].](https://www.wavewalkerdsp.com/wp-content/uploads/wordpress-popular-posts/5515-featured-125x75.png)
![Figure 2: The complex sinusoid x0[n] = e(j2 pi 0.125 n) plotted in the complex plane.](https://www.wavewalkerdsp.com/wp-content/uploads/wordpress-popular-posts/3104-featured-125x75.png)
New WWDSP Book For Sale!
March 1, 2025
Trending
![A BPSK signal s[n], real Gaussian noise w[n], and the received signal x[n] = s[n] + w[n] for SNR = 20 dB](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAH0AAABLAQAAAAB12LU4AAAAAnRSTlMAAHaTzTgAAAASSURBVDjLY2AYBaNgFIyCEQcABPsAAZzw+UwAAAAASUVORK5CYII=)
Calculate Signal to Noise Ratio (SNR) in Python Simulation - Install and Run LaTeX on macOS
- Cross Correlation Explained With Real Signals
- Introduction to Interpolation and Upsampling
- Comb Filter Introduction and Analysis
- Designing FIR Filter Gain
- Aliasing, Sampling and Spinning Car Tires
- Windowing Function Gain Normalization
- Building a PSK and QAM Modulator in Python
- Deriving the Ideal Low Pass Filter (LPF)
Recent Blogs
Apollo 13 and Engineering Operations
February 1, 2025
Windowing Function Gain Normalization
January 1, 2025
Should I Get a Masters Degree?
December 1, 2024
What DSP Classes Should I Take?
November 1, 2024
How To Install GNU Radio Source Code
October 1, 2024
How to Travel Well At the Airport
September 1, 2024
Celebrating Three Years of WWDSP!
August 28, 2024
How to Count in Binary Numbers
August 1, 2024
![A BPSK signal s[n], real Gaussian noise w[n], and the received signal x[n] = s[n] + w[n] for SNR = 20 dB](https://www.wavewalkerdsp.com/wp-content/uploads/2023/12/HowToComputeSignalToNoiseRatioSNRInSimulation_signalNoiseTimeDomain-300x240.png)
Buy the Book!
The third edition of DSP for Beginners: Simple Explanations for Complex Numbers! Includes a new chapter on sampling.
